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Paper Citation Record · LEDGER

Learning Equivariant Maps with Variational Quantum Circuits

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2412.11889.

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

pith.paper-citation-record.v1
2412.11889 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:36:05.281230Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

42 of 42 outbound references displayed

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  • verified fuzzy30
  • unresolved11
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External citation measurements

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Outbound references

Observation b948e7d8-9632-4ab1-a302-53d30c8fd949 · outbound

This paper cites Cost-function embedding and dataset encoding for machine learning with parametrized quantum circuits.

Learning Equivariant Maps with Variational Quantum Circuits Cost-function embedding and dataset encoding for machine learning with parametrized quantum circuits

Reference 1

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Observation 9a296522-c370-4512-b655-13712ec9675e · outbound

This paper cites Green, and Simone Sev- erini.

Learning Equivariant Maps with Variational Quantum Circuits Green, and Simone Sev- erini

Reference 2

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Observation afd36ef7-941c-4f5e-a3b0-a1a60c0d9b33 · outbound

This paper cites Schuld and F.

Learning Equivariant Maps with Variational Quantum Circuits Schuld and F

Reference 3

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Observation 981f0321-7fa7-4a40-8681-7775d3c4ac03 · outbound

This paper cites Svore, and Nathan Wiebe.

Learning Equivariant Maps with Variational Quantum Circuits Svore, and Nathan Wiebe

Reference 4

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Observation 30fa2722-18ac-481f-b0bf-7655c6ffb4a8 · outbound

This paper cites Quantum Computing in the NISQ era and beyond.

Learning Equivariant Maps with Variational Quantum Circuits Quantum Computing in the NISQ era and beyond

Reference 5

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Observation 15a65630-fd28-4b5f-851e-540e1506cd3b · outbound

This paper cites an unresolved cited work.

Learning Equivariant Maps with Variational Quantum Circuits Unresolved cited work

Reference 6

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Observation 8d43a467-76a6-44cd-aef6-b900cfb735a0 · outbound

This paper cites an unresolved cited work.

Learning Equivariant Maps with Variational Quantum Circuits Unresolved cited work

Reference 7

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Observation b8e51411-5227-40ce-a711-6b56f5cb12b2 · outbound

This paper cites Equivalence of quantum barren plateaus to cost concentration and narrow gorges.

Learning Equivariant Maps with Variational Quantum Circuits Equivalence of quantum barren plateaus to cost concentration and narrow gorges

Reference 8

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Observation a20c0295-0bbe-41ea-9075-b337f121ea73 · outbound

This paper cites Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, and Patrick J.

Learning Equivariant Maps with Variational Quantum Circuits Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, and Patrick J

Reference 9

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Observation 4a1df950-40e4-4ded-87ca-3b2ea46bea34 · outbound

This paper cites Cerezo, and Patrick J.

Learning Equivariant Maps with Variational Quantum Circuits Cerezo, and Patrick J

Reference 10

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Observation 41d7dd30-8aba-433a-843f-96d4b935b6d7 · outbound

This paper cites McClean, Sergio Boixo, Vadim N.

Learning Equivariant Maps with Variational Quantum Circuits McClean, Sergio Boixo, Vadim N

Reference 11

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Observation d0bebf1d-0688-40fe-bd1f-1d1a5f6956e2 · outbound

This paper cites Sbahi, Guillaume Ver- don, Patrick J.

Learning Equivariant Maps with Variational Quantum Circuits Sbahi, Guillaume Ver- don, Patrick J

Reference 12

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Observation 5644ca01-9530-4c09-912a-63a2e2ba911e · outbound

This paper cites Exploiting symmetry in variational quantum machine learning.PRX Quantum, 4(1), March 2023.

Learning Equivariant Maps with Variational Quantum Circuits Exploiting symmetry in variational quantum machine learning.PRX Quantum, 4(1), March 2023

Reference 13

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Observation e9735862-28f1-4e8e-80e1-2180141a2388 · outbound

This paper cites Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J.

Learning Equivariant Maps with Variational Quantum Circuits Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J

Reference 14

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Observation cf8c3dfe-9d1e-4932-9bd4-f22af2c25c0e · outbound

This paper cites Representation Theory for Geometric Quantum Machine Learning.

Learning Equivariant Maps with Variational Quantum Circuits Representation Theory for Geometric Quantum Machine Learning

Reference 15

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Observation 39c87ca9-e300-407a-a67a-4a772a7bb2df · outbound

This paper cites Symmetry- adapted variational quantum eigensolver.

Learning Equivariant Maps with Variational Quantum Circuits Symmetry- adapted variational quantum eigensolver

Reference 16

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Observation 9e7c5381-d54c-4766-8506-d58dfb329dbb · outbound

This paper cites Gard, Linghua Zhu, George S.

Learning Equivariant Maps with Variational Quantum Circuits Gard, Linghua Zhu, George S

Reference 17

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Observation 26808798-ccc5-42d2-8be7-a3009d4d8efc · outbound

This paper cites Barron, Bryan T.

Learning Equivariant Maps with Variational Quantum Circuits Barron, Bryan T

Reference 18

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Observation 9829c82b-9f2e-4443-a6ad-a75c8797ecd7 · outbound

This paper cites Symmetry enhanced variational quantum spin eigensolver.

Learning Equivariant Maps with Variational Quantum Circuits Symmetry enhanced variational quantum spin eigensolver

Reference 19

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Observation 3c62deca-a7ef-40a7-8022-e4bf6fe72aa5 · outbound

This paper cites an unresolved cited work.

Learning Equivariant Maps with Variational Quantum Circuits Unresolved cited work

Reference 20

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Observation bb479dc1-7ef1-4d97-ad8d-8b464839a7ee · outbound

This paper cites Realization schemes for quantum instruments in finite dimensions.

Learning Equivariant Maps with Variational Quantum Circuits Realization schemes for quantum instruments in finite dimensions

Reference 21

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Observation d78eb15b-f3c1-43f9-82b4-e231f103ea92 · outbound

This paper cites Machine learning of quantum channels on NISQ devices.

Learning Equivariant Maps with Variational Quantum Circuits Machine learning of quantum channels on NISQ devices

Reference 22

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Observation 36611a44-3ef6-42f0-9eb7-6dd7f84f16a9 · outbound

This paper cites Quantum phase transitions.

Learning Equivariant Maps with Variational Quantum Circuits Quantum phase transitions

Reference 23

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Observation 4f14c7be-3c15-4036-a1a9-b4daab868e48 · outbound

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Learning Equivariant Maps with Variational Quantum Circuits Unresolved cited work

Reference 24

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Observation 284a5f42-17ef-4204-a525-c606be43eb98 · outbound

This paper cites Charge superselection rule.

Learning Equivariant Maps with Variational Quantum Circuits Charge superselection rule

Reference 25

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Observation 1f4434b6-e5d8-4afd-97d3-05a21df3acdb · outbound

This paper cites Spekkens.

Learning Equivariant Maps with Variational Quantum Circuits Spekkens

Reference 26

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Observation ce72ff01-f865-4f29-b4be-f50374dc2c7b · outbound

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Learning Equivariant Maps with Variational Quantum Circuits Unresolved cited work

Reference 27

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Observation f662b32d-b2a0-4aa4-9ceb-e35dce68864a · outbound

This paper cites Steinberg.

Learning Equivariant Maps with Variational Quantum Circuits Steinberg

Reference 28

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Observation 504e6d8e-2723-49fc-b866-e64a74b4ea0c · outbound

This paper cites Equivariant adaptation of large pretrained models.

Learning Equivariant Maps with Variational Quantum Circuits Equivariant adaptation of large pretrained models

Reference 29

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Observation 6d3da5a7-93a8-440d-aff5-d8de23f8474b · outbound

This paper cites van der Ouderaa, Alexander Immer, and Mark van der Wilk.

Learning Equivariant Maps with Variational Quantum Circuits van der Ouderaa, Alexander Immer, and Mark van der Wilk

Reference 30

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Observation 2e5cbc63-46ae-459a-9a0a-cab395d89f58 · outbound

This paper cites Equivariant neural simulators for stochastic spatiotemporal dynam- ics.

Learning Equivariant Maps with Variational Quantum Circuits Equivariant neural simulators for stochastic spatiotemporal dynam- ics

Reference 31

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 866ac920-e1e7-4af5-add9-9d03ccbbcbfb · outbound

This paper cites Approximately equivariant networks for imperfectly symmetric dynamics.

Learning Equivariant Maps with Variational Quantum Circuits Approximately equivariant networks for imperfectly symmetric dynamics

Reference 32

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Observation ebbea30c-271b-4c10-a325-8784838357cc · outbound

This paper cites Approximately equivariant graph networks.

Learning Equivariant Maps with Variational Quantum Circuits Approximately equivariant graph networks

Reference 33

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ad0c559f-9764-4725-b1fd-9ee3116eb382 · outbound

This paper cites Learning invariances in neural networks from training data.

Learning Equivariant Maps with Variational Quantum Circuits Learning invariances in neural networks from training data

Reference 34

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Observation fa23b7a0-d03a-445c-9513-4a60a6c896e7 · outbound

This paper cites Dummit and Richard M.

Learning Equivariant Maps with Variational Quantum Circuits Dummit and Richard M

Reference 35

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source=pdf_text observed=2026-08-11T14:36:05.255243Z digest=sha256:8c7ec913b46b968ca7bb40a3abe6b8ca8db948c10382190410cee2fa2cb12afe

Observation 6864e7b9-a065-4b3c-b27d-18cda8d59874 · outbound

This paper cites Quantum embeddings for machine learning.

Learning Equivariant Maps with Variational Quantum Circuits Quantum embeddings for machine learning

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:36:05.259429Z digest=sha256:f01cdee08761893bb03aed4ee6b632bbdce8c713510111cc67988a72868f2248

Observation 340a1be0-b17e-4f7b-bb08-031326faf3bc · outbound

This paper cites Robust data encodings for quantum classifiers.

Learning Equivariant Maps with Variational Quantum Circuits Robust data encodings for quantum classifiers

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-11T14:36:05.448606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:36:05.263783Z digest=sha256:7896b7f203f34c5ef6fd4baef2449873fcfb4ca98f55dc86feeb0d9e6fa1d764

Observation 11914c73-7634-42c4-b6e5-a43fc63460a2 · outbound

This paper cites LaBorde, Soorya Rethinasamy, and Mark M.

Learning Equivariant Maps with Variational Quantum Circuits LaBorde, Soorya Rethinasamy, and Mark M

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:36:05.434348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:36:05.267907Z digest=sha256:9273d2f70d2a4f7795fb719104a577f31420e4b9f1ba5392bef7fcaa9a2889db

Observation cc16b97b-0cd3-4d30-8bcb-daf2490d0735 · outbound

This paper cites an unresolved cited work.

Learning Equivariant Maps with Variational Quantum Circuits Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:36:05.419613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:36:05.272345Z digest=sha256:1ae0db2a90e2b4d88342f3aeff1b40b0edc1344627211180a140d932b758d564

Observation 33d27471-31b7-4670-bedb-966f8a301596 · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Learning Equivariant Maps with Variational Quantum Circuits PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T14:36:05.276522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:36:05.276522Z digest=sha256:35dcc9455278dbe23c72f9c5699f59946b4e0d83fa25dfc0c3d253bef0e9a0f9

Observation aa729529-2053-412a-be8c-26598fde220b · outbound

This paper cites The data, which is shuffled at every epoch, is generated in Python.

Learning Equivariant Maps with Variational Quantum Circuits The data, which is shuffled at every epoch, is generated in Python

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:36:05.947866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:36:05.105100Z digest=sha256:082fa24c7d5aea99eaeb17e4aad1b7011cb01aa1ff5c64d42b2e86e19ebb71eb

Observation 216af63f-0a33-4a81-97d1-e20a2daaee05 · outbound

This paper cites An overview of the simultaneous perturbation method for efficient optimization.

Learning Equivariant Maps with Variational Quantum Circuits An overview of the simultaneous perturbation method for efficient optimization

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:36:05.405544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:36:05.281230Z digest=sha256:1fa11a478595b252f279cb48b9e21968acdc07e674266f31ccd7580946cb8993

Pith citing papers

No inbound Pith citation observations are available.