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Paper Citation Record · LEDGER

Quantum circuit complexity and unsupervised machine learning of topological order

As of 6 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 1 inbound Pith citation observation for arXiv:2508.04486.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.04486 v2

Coverage vector

measured 100 of 106 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T00:28:55.029363Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:50:38.893098Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T05:50:41.508802Z

Reference resolution

100 of 106 outbound references displayed

  • verified exact10
  • verified fuzzy85
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9fba9176-2671-4bb5-8eb3-68ac1e5e0323 · outbound

This paper cites Colloquium: Topological insulators.

Quantum circuit complexity and unsupervised machine learning of topological order Colloquium: Topological insulators

Reference 1

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 842b1b2a-b0d9-4182-b837-03ece83b9c7b · outbound

This paper cites Topological insulators and superconductors.

Quantum circuit complexity and unsupervised machine learning of topological order Topological insulators and superconductors

Reference 2

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0f29ff4a-2041-45ec-aaed-191c975a60ca · outbound

This paper cites Gapped quantum liquids and topological order, stochastic local transformations and emergence of unitarity.

Quantum circuit complexity and unsupervised machine learning of topological order Gapped quantum liquids and topological order, stochastic local transformations and emergence of unitarity

Reference 3

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Observation 9763b23f-94ae-4752-b572-fe21ee717845 · outbound

This paper cites Quantum Information Meets Quantum Matter -- From Quantum Entanglement to Topological Phase in Many-Body Systems.

Quantum circuit complexity and unsupervised machine learning of topological order Quantum Information Meets Quantum Matter -- From Quantum Entanglement to Topological Phase in Many-Body Systems

Reference 4

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Observation 46bc761e-ec24-4a8b-b790-02f9898f78ad · outbound

This paper cites Topological entanglement entropy.

Quantum circuit complexity and unsupervised machine learning of topological order Topological entanglement entropy

Reference 5

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Observation c32fb20f-5b6f-4d1f-a6bf-1ccb5590dab7 · outbound

This paper cites Detecting topological order in a ground state wave function.

Quantum circuit complexity and unsupervised machine learning of topological order Detecting topological order in a ground state wave function

Reference 6

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Observation 0ccc5c9c-e649-4506-9f4b-c2c8a3362d2b · outbound

This paper cites Fault-tolerant quantum computation by anyons.

Quantum circuit complexity and unsupervised machine learning of topological order Fault-tolerant quantum computation by anyons

Reference 7

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Observation 436175b9-5948-447f-b71a-f174838599f0 · outbound

This paper cites Probing topological spin liquids on a programmable quantum simulator.

Quantum circuit complexity and unsupervised machine learning of topological order Probing topological spin liquids on a programmable quantum simulator

Reference 8

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Observation 5d1fc9a3-f83e-47ae-b17a-70cbd0990e49 · outbound

This paper cites Realizing topologically ordered states on a quantum processor.

Quantum circuit complexity and unsupervised machine learning of topological order Realizing topologically ordered states on a quantum processor

Reference 9

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Observation c33bba78-5ee8-4fa9-bea9-7e0809a9e066 · outbound

This paper cites Abanin, Laleh Aghababaie-Beni, Igor Aleiner, Trond I.

Quantum circuit complexity and unsupervised machine learning of topological order Abanin, Laleh Aghababaie-Beni, Igor Aleiner, Trond I

Reference 10

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Source-reported events for the cited work

correction dated 2026-04-28. Source: crossref record 10.1038/s41586-026-10559-8->10.1038/s41586-024-08449-y:correction, observed 2026-07-11T03:02:42.457088+00:00. This notice travels one citation hop only.

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Observation ea21510e-0332-493d-bffc-6e3b368a8b16 · outbound

This paper cites Solving the quantum many-body problem with artificial neural networks.

Quantum circuit complexity and unsupervised machine learning of topological order Solving the quantum many-body problem with artificial neural networks

Reference 11

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Observation a3a843d3-929f-4d53-854d-8bb12bdfd401 · outbound

This paper cites Machine learning phases of matter.

Quantum circuit complexity and unsupervised machine learning of topological order Machine learning phases of matter

Reference 12

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Observation 4c89e3c8-03ae-45bc-8eb6-6eaa4e3a3c44 · outbound

This paper cites Learning phase transitions by confusion.

Quantum circuit complexity and unsupervised machine learning of topological order Learning phase transitions by confusion

Reference 13

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 451ca3b8-d47c-471d-9556-0dbde19f9668 · outbound

This paper cites Quantum Loop Topography for Machine Learning.

Quantum circuit complexity and unsupervised machine learning of topological order Quantum Loop Topography for Machine Learning

Reference 14

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Observation 50232c33-17e3-4f53-8414-0e7dbe810d58 · outbound

This paper cites Discriminative Cooperative Networks for Detecting Phase Transitions.

Quantum circuit complexity and unsupervised machine learning of topological order Discriminative Cooperative Networks for Detecting Phase Transitions

Reference 15

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9bf7839a-5667-4f89-b15f-47336635ac56 · outbound

This paper cites Machine Learning Topological Invariants with Neural Networks.

Quantum circuit complexity and unsupervised machine learning of topological order Machine Learning Topological Invariants with Neural Networks

Reference 16

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6e4f4895-c211-45aa-9c9c-26021ef387c0 · outbound

This paper cites Deep learning topological invariants of band insulators.

Quantum circuit complexity and unsupervised machine learning of topological order Deep learning topological invariants of band insulators

Reference 17

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6a0c6ca2-0b65-4686-8731-932b8a0cea1f · outbound

This paper cites Machine learning and the physical sciences.

Quantum circuit complexity and unsupervised machine learning of topological order Machine learning and the physical sciences

Reference 18

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Observation 8ffa3128-0ab5-466b-977e-7e8f684f6eda · outbound

This paper cites Quantum topology identification with deep neural networks and quantum walks.

Quantum circuit complexity and unsupervised machine learning of topological order Quantum topology identification with deep neural networks and quantum walks

Reference 19

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation abfb7cd6-7965-4853-98b9-1d024c68596d · outbound

This paper cites Identi- fying quantum phase transitions using artificial neural networks on experimental data.

Quantum circuit complexity and unsupervised machine learning of topological order Identi- fying quantum phase transitions using artificial neural networks on experimental data

Reference 20

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Observation 64dc825a-1f13-4fca-a12a-ee71fcae6bf3 · outbound

This paper cites Machine Learning Topological Phases with a Solid-State Quantum Simulator.

Quantum circuit complexity and unsupervised machine learning of topological order Machine Learning Topological Phases with a Solid-State Quantum Simulator

Reference 21

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d9385ebb-8977-4bf2-8960-204374303718 · outbound

This paper cites Identifying topological order through unsupervised machine learning.

Quantum circuit complexity and unsupervised machine learning of topological order Identifying topological order through unsupervised machine learning

Reference 22

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Observation 15fc31a5-3d38-4c33-9f33-bb71f673eecc · outbound

This paper cites Topological quantum phase transitions retrieved through unsupervised ma- chine learning.

Quantum circuit complexity and unsupervised machine learning of topological order Topological quantum phase transitions retrieved through unsupervised ma- chine learning

Reference 23

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 400d846c-5331-446c-8323-28ce9226bccb · outbound

This paper cites Unsupervised Machine Learning and Band Topology.

Quantum circuit complexity and unsupervised machine learning of topological order Unsupervised Machine Learning and Band Topology

Reference 24

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 192efe42-a75b-4abe-9ef7-224a7ecbd1d4 · outbound

This paper cites Unsupervised Manifold Clustering of Topological Phononics.

Quantum circuit complexity and unsupervised machine learning of topological order Unsupervised Manifold Clustering of Topological Phononics

Reference 25

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8ce7c7b0-3147-4a99-86ef-4b03bc7d875c · outbound

This paper cites Unsupervised identification of topological phase transitions using predictive models.

Quantum circuit complexity and unsupervised machine learning of topological order Unsupervised identification of topological phase transitions using predictive models

Reference 26

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 552e4aff-bbd2-4093-838e-3e030b37a6b3 · outbound

This paper cites Unsupervised learning using topological data augmentation.

Quantum circuit complexity and unsupervised machine learning of topological order Unsupervised learning using topological data augmentation

Reference 27

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 72dd901b-9db8-425c-8d4c-df3216b6d84c · outbound

This paper cites Unsupervised Learning of Non-Hermitian Topological Phases.

Quantum circuit complexity and unsupervised machine learning of topological order Unsupervised Learning of Non-Hermitian Topological Phases

Reference 28

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1f15dc1f-9a17-4148-8f13-68bfbe25893e · outbound

This paper cites Unsupervised learning universal critical behavior via the intrinsic dimension.

Quantum circuit complexity and unsupervised machine learning of topological order Unsupervised learning universal critical behavior via the intrinsic dimension

Reference 29

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4e6a134c-c524-4c95-8697-e8f4e4475bd1 · outbound

This paper cites Topological data analysis and machine learning.

Quantum circuit complexity and unsupervised machine learning of topological order Topological data analysis and machine learning

Reference 30

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 30c52cbc-d1c4-4e37-9177-1265c3852d46 · outbound

This paper cites Identifying topology of leaky photonic lattices with machine learning.

Quantum circuit complexity and unsupervised machine learning of topological order Identifying topology of leaky photonic lattices with machine learning

Reference 31

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 008b9977-7892-405c-b5d8-351a3c50bf59 · outbound

This paper cites Machine learning meets quantum physics.

Quantum circuit complexity and unsupervised machine learning of topological order Machine learning meets quantum physics

Reference 32

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 80c12738-4e92-49d3-afc8-7e3b52a628f6 · outbound

This paper cites A theory of the learnable.

Quantum circuit complexity and unsupervised machine learning of topological order A theory of the learnable

Reference 33

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6f4c82ff-c48b-4b30-bfe0-3d356317ddfc · outbound

This paper cites Mohri, A.

Quantum circuit complexity and unsupervised machine learning of topological order Mohri, A

Reference 34

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6b5d4f96-738f-4be0-8cde-9068803857cd · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Quantum circuit complexity and unsupervised machine learning of topological order Neural tangent kernel: Convergence and generalization in neural networks

Reference 35

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1c745113-dbdb-4a68-9129-21ec3b401f3e · outbound

This paper cites Provably efficient machine learning for quantum many-body problems.

Quantum circuit complexity and unsupervised machine learning of topological order Provably efficient machine learning for quantum many-body problems

Reference 36

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raw_fallback, observed 2026-05-19T00:32:55.288889Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:5b6699df5305af61d416ea1d3c59902e3f90b31c42fd9edd2049f00bdd6a7cdb

Observation be343ad6-2cde-4f8c-a0c1-80960bf6fd4e · outbound

This paper cites Improved machine learning algorithm for predicting ground state properties.

Quantum circuit complexity and unsupervised machine learning of topological order Improved machine learning algorithm for predicting ground state properties

Reference 37

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raw_fallback, observed 2026-05-19T00:32:55.236947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:655cb91b2cd8cd2e28cf61ae6ce64e51cf2447563b25817d4b3f07586763f7d2

Observation 17016322-2423-4f84-a17d-f8da61ed0221 · outbound

This paper cites Exponentially improved efficient machine learning for quantum many-body states with provable guarantees.

Quantum circuit complexity and unsupervised machine learning of topological order Exponentially improved efficient machine learning for quantum many-body states with provable guarantees

Reference 38

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.312081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:2511747c02235189fd891fa9dce8a992efac150fc9e3e035e411e2028eb27cc5

Observation 73ed9940-3b2f-4d0e-854d-d42f38bc0721 · outbound

This paper cites Efficient learning of ground and thermal states within phases of matter.

Quantum circuit complexity and unsupervised machine learning of topological order Efficient learning of ground and thermal states within phases of matter

Reference 39

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raw_fallback, observed 2026-05-19T00:32:55.263292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:48d2db4f6b7e4c1504f1c373f15d3572b8bbbe8e34d35465c9faa19f1187df8d

Observation b334f4e0-07d3-4c42-87d6-92376fee6758 · outbound

This paper cites Machine learning on quantum experimental data toward solving quantum many-body problems.

Quantum circuit complexity and unsupervised machine learning of topological order Machine learning on quantum experimental data toward solving quantum many-body problems

Reference 40

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.258974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:edc2b818d576e66a098cef94788ee7872389d7844808f25ca94b9e70cbfe79c9

Observation 8ae1d886-2d42-4a09-86ab-b825e276202f · outbound

This paper cites Learning Quantum States and Unitaries of Bounded Gate Complexity.

Quantum circuit complexity and unsupervised machine learning of topological order Learning Quantum States and Unitaries of Bounded Gate Complexity

Reference 41

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.315454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:ee978eb39b5d698ca28070808b3ab35f0b779d699b9121f12e495aa754d8cbda

Observation 7496e155-951e-46c5-9634-72bc405b3c46 · outbound

This paper cites Provably Efficient Learning of Phases of Matter via Dissipative Evolutions.

Quantum circuit complexity and unsupervised machine learning of topological order Provably Efficient Learning of Phases of Matter via Dissipative Evolutions

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:31:55.785560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:53c1a31a9e438b10fe5101f8d2a9768c9b3de53f1302149b81d3bd3135714d02

Observation 1fac69ba-0df0-4019-a5e8-9f0f3ffbc1b8 · outbound

This paper cites Efficient learning for linear properties of bounded-gate quantum circuits.

Quantum circuit complexity and unsupervised machine learning of topological order Efficient learning for linear properties of bounded-gate quantum circuits

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:31:55.757645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:758a53f472f28d384458cdb3d5e80b0b5d32f0fb4243541463533504993add9e

Observation 35c5d4ac-f92a-4774-88a1-dbdc637cf34c · outbound

This paper cites Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms.

Quantum circuit complexity and unsupervised machine learning of topological order Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:31:55.772029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:135d04f45dda13784b98f2471451228699b20dbe4e3b42a0e492c189d1329401

Observation 1cf5126a-3848-4240-8fc3-c91168d3ec77 · outbound

This paper cites Efficient Learning of Long-Range and Equivariant Quantum Systems.

Quantum circuit complexity and unsupervised machine learning of topological order Efficient Learning of Long-Range and Equivariant Quantum Systems

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:31:55.780674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:617c1eb224e0896466cb5fc5f0a961d5e461e2f6965472b244f410f9dc796807

Observation e3038967-11ca-4995-8a6c-323753d74ac6 · outbound

This paper cites Nonlinear component analysis as a kernel eigenvalue problem.

Quantum circuit complexity and unsupervised machine learning of topological order Nonlinear component analysis as a kernel eigenvalue problem

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T00:32:55.267822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:f5bcf22dd0f40d16ba41bce89e4ee6e8d1edda762eb9c4adc94dcf3c9db0fd85

Observation 7d059816-8539-43e5-912a-06222da5f85a · outbound

This paper cites Kernel PCA and de-noising in feature spaces.

Quantum circuit complexity and unsupervised machine learning of topological order Kernel PCA and de-noising in feature spaces

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T00:32:55.293891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:38e0c0a23aafa9df1ab586f6bb0d8e8c71f1d40f6517db00c2b51f00260f7f81

Observation e5508d25-838e-4033-ac84-34fd39d5c7f2 · outbound

This paper cites Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps.

Quantum circuit complexity and unsupervised machine learning of topological order Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T00:32:55.202418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:4e0168b0282910c99ad1973b31c64e89ef4a1e73591ec6a0d72665ebf2d9e1d2

Observation f273f721-2a56-41fb-9c56-912c653c31ad · outbound

This paper cites Diffusion maps, spectral clustering and eigenfunctions of Fokker-Planck operators.

Quantum circuit complexity and unsupervised machine learning of topological order Diffusion maps, spectral clustering and eigenfunctions of Fokker-Planck operators

Reference 49

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.210649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:d7e9b943f49ddd9ac11f6eec8f1a8f0ceae3b7d2b602c84dab63138e38a1955b

Observation d44b5580-53de-448e-9ff4-390ec654a700 · outbound

This paper cites Unsupervised Data-Driven Classification of Topological Gapped Systems with Symmetries.

Quantum circuit complexity and unsupervised machine learning of topological order Unsupervised Data-Driven Classification of Topological Gapped Systems with Symmetries

Reference 50

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.324025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:9465dfa980092fcca2f6685d14c338416f1c4192a2a072b19fa4854f07438681

Observation ee3b5059-7d9c-4b57-a91e-123eca781749 · outbound

This paper cites Undecidability of the spectral gap.

Quantum circuit complexity and unsupervised machine learning of topological order Undecidability of the spectral gap

Reference 51

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.215815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:cf659b5028d14edbf09f0c1aa401a1b761a5589b02dfa4a039cd7b7f789b1c83

Observation e6a4b928-5f5e-4d09-bc28-635db848bcb4 · outbound

This paper cites Information Distance.

Quantum circuit complexity and unsupervised machine learning of topological order Information Distance

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-19T00:31:55.763215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:4a1693847d6705734c5935c335851e8c1cd6cdf1e6ecf855bdd8a9a5dc3e1dbc

Observation a517f35d-6467-4487-a23a-bc39fd2e852d · outbound

This paper cites an unresolved cited work.

Quantum circuit complexity and unsupervised machine learning of topological order Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-19T00:32:55.232587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:6b08db225fbfd227f44c1869948421082794ab1b1d77a2b079fa277b78a9ff61

Observation 996efa1f-ac71-407a-814b-cb7bf315f6e1 · outbound

This paper cites Quantum circuit complexity.

Quantum circuit complexity and unsupervised machine learning of topological order Quantum circuit complexity

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T00:32:55.319018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:41604c321a78de02ddfc7ac17da9674c1b6c4e5fa4e521e8daebddacae4f26b9

Observation 2934b0f6-42e2-4cd9-afde-cf2cf2e62e2f · outbound

This paper cites Models of quantum complexity growth.

Quantum circuit complexity and unsupervised machine learning of topological order Models of quantum complexity growth

Reference 55

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.323300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:e6ffd657d9b512e4715d31878a7b9370ea44e0538097f495e91a65818cbab788

Observation 7a47a138-a5ad-4c67-9bed-3d9577943d40 · outbound

This paper cites Linear growth of quantum circuit complexity.

Quantum circuit complexity and unsupervised machine learning of topological order Linear growth of quantum circuit complexity

Reference 56

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.393818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:b154b9041bc363739ab98a5f8fe6f3b78d08eae7250c4122865bc181d31a7e06

Observation c4986088-b090-46e6-a9da-75bfdd9e34e2 · outbound

This paper cites Complexity and order in approximate quantum error-correcting codes.

Quantum circuit complexity and unsupervised machine learning of topological order Complexity and order in approximate quantum error-correcting codes

Reference 57

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.305160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:b965a706812d04fe7d6456579b509a8a60361a0771a9e45bb7e6c4c538d1ebf4

Observation 86b4b74c-8af1-4537-962a-923d109cab55 · outbound

This paper cites Circuit complexity across a topological phase transition.

Quantum circuit complexity and unsupervised machine learning of topological order Circuit complexity across a topological phase transition

Reference 58

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.348920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:c64b83922290daf9542e891d18b2c50289cd3dbc9672b5677b24b4cf886762e5

Observation 92c8a56d-6f8d-44ac-b9f3-7ef98d525e17 · outbound

This paper cites Toward a Definition of Complexity for Quantum Field Theory States.

Quantum circuit complexity and unsupervised machine learning of topological order Toward a Definition of Complexity for Quantum Field Theory States

Reference 59

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.420031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:099f543bb7c0411ba115115cbc492da010fb0bfbb8966332d6ddfac37b854669

Observation caa69bf0-58c8-4c38-a22a-ecedbf98ffde · outbound

This paper cites Circuit complexity for free fermions.

Quantum circuit complexity and unsupervised machine learning of topological order Circuit complexity for free fermions

Reference 60

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.330466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:74a8bc60e7bb190ea23db1906109533ea09db9071fce177ab4650b86f9f1a7e9

Observation 23fd6b7c-8cdf-45e3-a3cc-f2a8de484f50 · outbound

This paper cites Circuit complexity in fermionic field theory.

Quantum circuit complexity and unsupervised machine learning of topological order Circuit complexity in fermionic field theory

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T00:32:55.340390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:415728e970daa7d907e1cc9d984f60fe8965c903e1436b1c62277f7edd6c9f58

Observation 7da45d8d-d6a3-4499-a794-db41a40c5a6f · outbound

This paper cites Computational Complexity and Black Hole Horizons.

Quantum circuit complexity and unsupervised machine learning of topological order Computational Complexity and Black Hole Horizons

Reference 62

Resolution
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local_arxiv, observed 2026-05-19T00:31:55.731748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:526c74d7672e355548d2bc0d44eca74fe0a0f0f2e19af0051d8975e20cbd8087

Observation 53576337-2528-4c35-aaf8-25dcc0c1b433 · outbound

This paper cites Complexity and shock wave geometries.

Quantum circuit complexity and unsupervised machine learning of topological order Complexity and shock wave geometries

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T00:32:55.373552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:748c2a700f164fe2a12b2689e233cd42186b9642910eae7700e5ee9f95d7a6be

Observation a46f4547-4bb1-41ca-bca5-6de62cda4038 · outbound

This paper cites Holographic Complexity Equals Bulk Action?.

Quantum circuit complexity and unsupervised machine learning of topological order Holographic Complexity Equals Bulk Action?

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T00:32:55.388279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:fc3e889ade3a908c162d188f09bedbf144b4d54d1fd1d270fc32b0a2d5d5553b

Observation 7733f086-8744-4131-b0ad-c9c907473083 · outbound

This paper cites Complexity, action, and black holes.

Quantum circuit complexity and unsupervised machine learning of topological order Complexity, action, and black holes

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T00:32:55.314810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:a96db3074c43e1893650253fbe25e09f0ec1eb5eb8178b4d9fb03fb2ae8f690c

Observation a7502a11-19ca-4ccc-9cef-7812e0e8c8ac · outbound

This paper cites Universality in long-distance geometry and quantum complexity.

Quantum circuit complexity and unsupervised machine learning of topological order Universality in long-distance geometry and quantum complexity

Reference 66

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.377969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:b3a4c932011886f07c391b7c11f52eecb3b62ed34149eea694377bd4714ae05d

Observation 3ab4b00a-82af-44c1-a7ef-c209b6f17218 · outbound

This paper cites Automorphic Equivalence within Gapped Phases of Quantum Lattice Systems.

Quantum circuit complexity and unsupervised machine learning of topological order Automorphic Equivalence within Gapped Phases of Quantum Lattice Systems

Reference 67

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.295293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:116f01937b412bfa8dc4765eafc8b703e707131a4abefac866e158b84d335b54

Observation a1ce540c-90e5-4b7a-8ed8-01d40e02cb5c · outbound

This paper cites A geometric approach to quantum circuit lower bounds.

Quantum circuit complexity and unsupervised machine learning of topological order A geometric approach to quantum circuit lower bounds

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-19T00:31:55.736577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:9b76c60cfadc3b4eeb43dc030c04dbb761cc35f2e6119ff80bd98027ababab3d

Observation c9979e1d-a421-47bc-b9e1-f09e1068ef8f · outbound

This paper cites Quantum Computation as Geometry.

Quantum circuit complexity and unsupervised machine learning of topological order Quantum Computation as Geometry

Reference 69

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.370288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:0ed116e82ff978510b3bcde2664a83a00fd5fc82904480bdae2b3f8861dc6adc

Observation d6d3a06c-3b20-4245-9f5c-18051e14002b · outbound

This paper cites Entangling Power and Quantum Circuit Complexity.

Quantum circuit complexity and unsupervised machine learning of topological order Entangling Power and Quantum Circuit Complexity

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T00:32:55.275396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:f73462d543fe6e95b5e166cf41dcb7fafb658b0a7066f091cc8841304b203cdf

Observation 1d382d7f-0f86-40b2-95ea-6d0adcdb4042 · outbound

This paper cites an unresolved cited work.

Quantum circuit complexity and unsupervised machine learning of topological order Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-05-19T00:32:55.290087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:194c874378a5f5c5ace6238776b52fa6aeecc84b2a22aea25a7b99ef0f3bf434

Observation 12b73634-8f3f-44f8-a6e2-c5621168926f · outbound

This paper cites Statistical Distance and the Geometry of Quantum States.

Quantum circuit complexity and unsupervised machine learning of topological order Statistical Distance and the Geometry of Quantum States

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T00:32:55.311422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:3f654ede9350128249d9825377b25392de45bf80d20cdea81ac5ccdc5cb179bb

Observation efc8cf93-3cb5-48f1-a0bd-a6c569ff746e · outbound

This paper cites Quantum Fisher information matrix and multiparameter estimation.

Quantum circuit complexity and unsupervised machine learning of topological order Quantum Fisher information matrix and multiparameter estimation

Reference 73

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raw_fallback, observed 2026-05-19T00:32:55.284374Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:ef823c199b6dcb3995eac4a2a80515d95a60cd16c5c7cd51f80a6afec2f06202

Observation 17729d44-c0fb-4ed8-9c8f-df671f648534 · outbound

This paper cites Quantum Speed Limit for Physical Processes.

Quantum circuit complexity and unsupervised machine learning of topological order Quantum Speed Limit for Physical Processes

Reference 74

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:e6534f43235e35cf53f7ff503b72a96152e2ab1f335270bd3f95ed297ef4be35

Observation 22eea0e3-eb95-4264-bd51-cd3cf5099f80 · outbound

This paper cites an unresolved cited work.

Quantum circuit complexity and unsupervised machine learning of topological order Unresolved cited work

Reference 75

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raw_fallback, observed 2026-05-19T00:32:55.366258Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:b2138b90b861e5bedab2ecb07c1360d4c335a01b46eb3ee3bc315659301be182

Observation 5b07ff9d-fe6c-4908-9ce4-fb26b5c65cab · outbound

This paper cites an unresolved cited work.

Quantum circuit complexity and unsupervised machine learning of topological order Unresolved cited work

Reference 76

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:6b262ab848da5576020882ffe63392a0bac9f28a7b58dd1aaf0292b464091adc

Observation e4a2ce61-76cf-45fe-bc3d-58abac951fd6 · outbound

This paper cites Density matrix formulation for quantum renormalization groups.

Quantum circuit complexity and unsupervised machine learning of topological order Density matrix formulation for quantum renormalization groups

Reference 77

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raw_fallback, observed 2026-05-19T00:32:55.299982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:9bc07381c45c6cebc4aae2982c1690e5616e7db2542cdd497b60765b6b108d52

Observation 6e2b99c0-8c65-4b7e-9ec2-a5ddb1ceaced · outbound

This paper cites The density-matrix renormalization group in the age of matrix product states.

Quantum circuit complexity and unsupervised machine learning of topological order The density-matrix renormalization group in the age of matrix product states

Reference 78

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raw_fallback, observed 2026-05-19T00:32:55.318669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:56b585e59ae02c69e74fdb146d9b53962adcf07a61e605f17394a492215bbffc

Observation d09fdfdd-6461-4d0e-a0b7-1c13c4f8723c · outbound

This paper cites Predicting many properties of a quantum system from very few measurements.

Quantum circuit complexity and unsupervised machine learning of topological order Predicting many properties of a quantum system from very few measurements

Reference 79

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raw_fallback, observed 2026-05-19T00:32:55.362725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:0eac579b3f2fdc64f94f1faceccb084a77ae20a66098512dc9f338221a940a58

Observation cad86042-e0a2-4ebe-aae2-afe22abbb775 · outbound

This paper cites Detection of symmetry-protected topological phases in one dimension.

Quantum circuit complexity and unsupervised machine learning of topological order Detection of symmetry-protected topological phases in one dimension

Reference 80

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:a3c37c0d6362078585d8ef3eda39765d61f9acc7033b278704b7839649bcdc0f

Observation 8c9413ba-4850-4d69-8736-1f4d9276afdb · outbound

This paper cites Many-body topological invariants from randomized measurements in synthetic quantum matter.

Quantum circuit complexity and unsupervised machine learning of topological order Many-body topological invariants from randomized measurements in synthetic quantum matter

Reference 81

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raw_fallback, observed 2026-05-19T00:32:55.399247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:40681552b1cdfd740c43df2d61843bc62535125f9dca2bad087a3641a149f223

Observation d72fd553-baee-4c48-ae24-8055f13df136 · outbound

This paper cites Efficient numerical simulations with Tensor Networks: Tensor Network Python (TeNPy).

Quantum circuit complexity and unsupervised machine learning of topological order Efficient numerical simulations with Tensor Networks: Tensor Network Python (TeNPy)

Reference 82

Resolution
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local_arxiv, observed 2026-05-19T00:31:55.742058Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:3e82b12a1fb9dc1187b9305d412806926f4a2c4688b6e79a7d5e3e15d6af7d29

Observation d94f77bf-fa04-4aa2-a7c6-764ffd09bf1e · outbound

This paper cites Many-Body Entropies and Entanglement from Polynomially Many Local Measurements.

Quantum circuit complexity and unsupervised machine learning of topological order Many-Body Entropies and Entanglement from Polynomially Many Local Measurements

Reference 83

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raw_fallback, observed 2026-05-19T00:32:55.344966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:ca1fcdfc2ee8f29bbab3a148280555e1f33820b6f1fb7f239e9cc5c38754a27d

Observation 8b500d04-bbbf-41c1-aa67-f646602d84da · outbound

This paper cites Enhanced Estimation of Quantum Properties with Common Randomized Measurements.

Quantum circuit complexity and unsupervised machine learning of topological order Enhanced Estimation of Quantum Properties with Common Randomized Measurements

Reference 84

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.358400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:96fe2930acefb6bf35d1ba11de56e15f453c21373664aa6d8425007d11d9dc6a

Observation 06744543-2055-4e18-8dff-de6f80a6ffb8 · outbound

This paper cites Learning quantum properties from short-range correlations using multi-task networks.

Quantum circuit complexity and unsupervised machine learning of topological order Learning quantum properties from short-range correlations using multi-task networks

Reference 85

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.232895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:fa2fbcdccf35df9816675797bb9381da4fa13ebff278e338f47faf5131d7e8af

Observation 6737fef0-28cd-470c-be78-8a745014c95f · outbound

This paper cites Class of quantum many-body states that can be efficiently simulated.

Quantum circuit complexity and unsupervised machine learning of topological order Class of quantum many-body states that can be efficiently simulated

Reference 86

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raw_fallback, observed 2026-05-19T00:32:55.201742Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:1399ae775d540067e73b5179327c5f75aa1dde95e0f8c4bf5dd1a81e614632f7

Observation a9852583-bef1-4d31-977d-118c2c992535 · outbound

This paper cites Entanglement phase transitions in measurement-only dynamics.

Quantum circuit complexity and unsupervised machine learning of topological order Entanglement phase transitions in measurement-only dynamics

Reference 87

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.187618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:00561ded49debf5e32dfb9b89b16c8e931500a6dba8b293307b1c8303e903556

Observation 37010f8f-1dce-4ae8-b845-fb48c607a132 · outbound

This paper cites V olume-Law to Area-Law Entanglement Transition in a Nonunitary Periodic Gaussian Circuit.

Quantum circuit complexity and unsupervised machine learning of topological order V olume-Law to Area-Law Entanglement Transition in a Nonunitary Periodic Gaussian Circuit

Reference 88

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:a4ed86a2d02a8ffc95903229b731217a52ae3d4c72b45cd6e0d83db95fc9b57e

Observation a6780ec2-caf2-4d41-89e4-03114a1656f4 · outbound

This paper cites Diagnostics of Mixed-State Topological Order and Breakdown of Quantum Memory.

Quantum circuit complexity and unsupervised machine learning of topological order Diagnostics of Mixed-State Topological Order and Breakdown of Quantum Memory

Reference 89

Resolution
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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:b809773131d2843fe0d464129c67cd52606ce209c7f7ec447ca45ff0cfba2cc5

Observation eb270eca-d643-4d39-aa23-a6d371262776 · outbound

This paper cites Toward a Classification of Mixed-State Topological Orders in Two Dimensions.

Quantum circuit complexity and unsupervised machine learning of topological order Toward a Classification of Mixed-State Topological Orders in Two Dimensions

Reference 90

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.260895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:93d2bf0244cd485c4109df25fef9279cfb2345f42d547e63843ad7fda539cf27

Observation 7650a941-efc4-4c7b-b080-7972c0c2a3f5 · outbound

This paper cites Noisy Approach to Intrinsically Mixed-State Topological Order.

Quantum circuit complexity and unsupervised machine learning of topological order Noisy Approach to Intrinsically Mixed-State Topological Order

Reference 91

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.192075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:79027df1ec57f387c766cb2d2d9e48ca0271370fd68537e1c50ba3ff2ea5ddd4

Observation de650751-9d12-4c21-b1fb-b94b375a9d91 · outbound

This paper cites Intrinsic Mixed-State Topological Order.

Quantum circuit complexity and unsupervised machine learning of topological order Intrinsic Mixed-State Topological Order

Reference 92

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.176902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:cfb282c087441c2e1e83e359453ba11c001a359b8f430eeed993d79884d4c11a

Observation 26e2bde5-cfb8-447e-b03c-3e6e1867210d · outbound

This paper cites Symmetry-Protected Topological Phases of Mixed States in the Doubled Space.

Quantum circuit complexity and unsupervised machine learning of topological order Symmetry-Protected Topological Phases of Mixed States in the Doubled Space

Reference 93

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.206133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:23709e384442580ad8f0e13d66f44c620db30e558b09cc4f507a23aab83145bc

Observation 92aad541-4b85-487f-83d4-eaafece2ce61 · outbound

This paper cites Quantum machine learning.

Quantum circuit complexity and unsupervised machine learning of topological order Quantum machine learning

Reference 94

Resolution
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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:48733169b3473e0b2f538b8e5f8683d380aaa5e37c2ef9108ff784fc3a012e7f

Observation 7f4583dc-88df-45c3-b45c-b1052318e9fc · outbound

This paper cites Experimental kernel-based quantum machine learning in finite feature space.

Quantum circuit complexity and unsupervised machine learning of topological order Experimental kernel-based quantum machine learning in finite feature space

Reference 95

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raw_fallback, observed 2026-05-19T00:32:55.182114Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:53b24e4faff860af7b94e71d411722ff91f30dc041244bc53af7a56aab930eda

Observation 9d4677ff-b943-40c9-84ec-58d0a53438e6 · outbound

This paper cites QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation.

Quantum circuit complexity and unsupervised machine learning of topological order QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation

Reference 96

Resolution
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local_arxiv, observed 2026-05-19T00:31:55.776308Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:23d16cd79d80f4c1949529d8a387026a9cf36c043e1366f8923fdf3ac3503f04

Observation e6d34028-91f7-4319-81ab-64af96b86f9e · outbound

This paper cites Quantum Ground States from Reinforcement Learning.

Quantum circuit complexity and unsupervised machine learning of topological order Quantum Ground States from Reinforcement Learning

Reference 97

Resolution
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raw_fallback, observed 2026-05-19T00:32:55.270178Z

Source-reported events for the cited work

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source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:a2009aab7ce199dca3a168cbf355714f339aedbc838737c146422528ec73da2f

Observation 2748c70f-c7c8-4fbe-9820-1570d5d005b0 · outbound

This paper cites Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Coun- terdiabatic Driving.

Quantum circuit complexity and unsupervised machine learning of topological order Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Coun- terdiabatic Driving

Reference 98

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raw_fallback, observed 2026-05-19T00:32:55.265648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:77f8d2e4bf0c2983c16281081095f5a721d5d7f8ea5174072d2ebb92b132abc7

Observation 183eb787-c8c2-4c63-8143-e2ee7c532243 · outbound

This paper cites Approximate Autonomous Quantum Error Correction with Reinforcement Learning.

Quantum circuit complexity and unsupervised machine learning of topological order Approximate Autonomous Quantum Error Correction with Reinforcement Learning

Reference 99

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raw_fallback, observed 2026-05-19T00:32:55.209662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:074680c757f87bd4a1320e0d751941749f37baa6194a3bc1efd0c715dcda0609

Observation 6983dae7-9f5d-44d5-ac9f-3a9ffe45bec5 · outbound

This paper cites Exact Quantum Algorithms for Quantum Phase Recognition: Renormal- ization Group and Error Correction.

Quantum circuit complexity and unsupervised machine learning of topological order Exact Quantum Algorithms for Quantum Phase Recognition: Renormal- ization Group and Error Correction

Reference 100

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raw_fallback, observed 2026-05-19T00:32:55.253447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:28:55.029363Z digest=sha256:8c423abff9bcf990e274d388e4bbb27976ffccef991f2a01c44e5f2e73ba3ec8

Pith citing papers

Observation 3cccef48-b199-4121-bf9b-11396dc2b906 · inbound

Artificial intelligence for representing and characterizing quantum systems cites this paper.

Artificial intelligence for representing and characterizing quantum systems Quantum circuit complexity and unsupervised machine learning of topological order

Reference 58

Resolution
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local_arxiv, observed 2026-08-05T05:50:41.514020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-05T05:50:38.893098Z digest=sha256:483a90f7961fe8fa32f8eba0771106463ccd63059185ba9ff6d90eea339e280c