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Paper Citation Record · LEDGER

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization

As of 16 August 2026, this Paper Citation Record lists 100 of 148 outbound references and 0 inbound Pith citation observations for arXiv:2608.12936.

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

pith.paper-citation-record.v1
2608.12936 v1

Coverage vector

measured 100 of 148 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:27:08.528957Z

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

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

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Reference resolution

100 of 148 outbound references displayed

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  • verified fuzzy3
  • unresolved92
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 4409290c-7eb1-412d-9a24-ef3063362779 · outbound

This paper cites Quantum complexity theory.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Quantum complexity theory

Reference 1

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source=pdf_text observed=2026-08-15T20:27:08.244933Z digest=sha256:e99173c7c320997ae99795bf7eda4ebf738aeb179766fc491779f3e404c1a462

Observation 03d199e4-7aae-4e3e-aa6f-7262ebf8f344 · outbound

This paper cites Early fault-tolerant quantum computing.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Early fault-tolerant quantum computing

Reference 2

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Observation dafc3ea4-f086-4ee2-8c4a-7ced945420fd · outbound

This paper cites Quantum supremacy using a programmable superconducting processor.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Quantum supremacy using a programmable superconducting processor

Reference 3

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source=pdf_text observed=2026-08-15T20:27:08.252099Z digest=sha256:0811d1f5e15c205bad714a682e6ca8c5e8445b6ca090af3b62b2200fbbf0fc12

Observation a7bb7fd4-f3b2-40f4-ba0c-30f6faf5a65b · outbound

This paper cites Quantum error correction below the surface code threshold.Nature, 638(8052):920–926, 2025.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Quantum error correction below the surface code threshold.Nature, 638(8052):920–926, 2025

Reference 4

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source=pdf_text observed=2026-08-15T20:27:08.255460Z digest=sha256:87b39679dea3da667014708385f2ce05ca689a207a9444e9258b8096b6e8cd86

Observation b9fadd80-cf7e-4158-ae7d-b61fcefadc1b · outbound

This paper cites Quantum computer architecture toward full-stack quantum accelerators.IEEE Transactions on Quantum Engineering, 1:1–17, 2020.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Quantum computer architecture toward full-stack quantum accelerators.IEEE Transactions on Quantum Engineering, 1:1–17, 2020

Reference 5

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source=pdf_text observed=2026-08-15T20:27:08.258520Z digest=sha256:17ce7edac4fa46d010c07b299f9e6b7f9d5775ce023f4228b0f4b7d8c9b4a54f

Observation 5a341e38-a22f-475b-88f2-e0ddab2c5669 · outbound

This paper cites Resource-efficient quantum computing by breaking abstractions.Proceedings of the IEEE, 108(8):1353–1370, 2020.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Resource-efficient quantum computing by breaking abstractions.Proceedings of the IEEE, 108(8):1353–1370, 2020

Reference 6

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source=pdf_text observed=2026-08-15T20:27:08.261547Z digest=sha256:dc3f79d56fde6373488d378cce29d7317c443489c8bc39b4af807520c7783ed2

Observation 3f55bf65-60d5-4b2f-a6af-f2ef70159981 · outbound

This paper cites Superstaq: Deep optimization of quantum programs.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Superstaq: Deep optimization of quantum programs

Reference 7

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source=pdf_text observed=2026-08-15T20:27:08.264659Z digest=sha256:0e24804a71d225236ee06c1a65e10c762a19071bed633995dc4d6959d2a3f4fe

Observation 1dee6ab4-49d9-4249-ac93-d3b1ebf268d6 · outbound

This paper cites Achieving utility-scale applications through full stack co-design of fault tolerant quantum computers.arXiv preprint arXiv:2510.26547, 2025.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Achieving utility-scale applications through full stack co-design of fault tolerant quantum computers.arXiv preprint arXiv:2510.26547, 2025

Reference 8

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Observation 84bdfadd-79e3-4856-940d-bedb65fdb35c · outbound

This paper cites The grand challenge of quantum applications.arXiv preprint arXiv:2511.09124, 2025.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization The grand challenge of quantum applications.arXiv preprint arXiv:2511.09124, 2025

Reference 9

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Observation 6c4b34db-ac66-4a41-a3db-6e005b11dee5 · outbound

This paper cites Utilizing resource estimation for the development of quantum computing applications.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Utilizing resource estimation for the development of quantum computing applications

Reference 10

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Observation 513e47be-bbc2-4b22-bca2-2bc1555f17ed · outbound

This paper cites Assessing requirements to scale to practical quantum advantage.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Assessing requirements to scale to practical quantum advantage

Reference 11

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Observation c87ef25d-6683-4847-a70b-992cab1596ea · outbound

This paper cites Using azure quantum resource estimator for assessing performance of fault tolerant quantum computation.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Using azure quantum resource estimator for assessing performance of fault tolerant quantum computation

Reference 12

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Observation 384298f9-67e9-48f9-963c-57297703c17f · outbound

This paper cites Expressing and Analyzing Quantum Algorithms with Qualtran.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Expressing and Analyzing Quantum Algorithms with Qualtran

Reference 13

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source=pdf_text observed=2026-08-15T20:27:08.281446Z digest=sha256:57c6a743f8912c47dc9329e8d5bf69710c8296382159f432a138285d136836eb

Observation e9c15b48-8d2b-4a1f-8930-a59b9e0bfa37 · outbound

This paper cites Psiq/bartiq: Bartiq.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Psiq/bartiq: Bartiq

Reference 14

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source=pdf_text observed=2026-08-15T20:27:08.284441Z digest=sha256:cb99f169e4b54081ba74ba5bb006e12a33fbd6f63c054913d2688538106bad97

Observation 49a5d1ef-6112-466f-9ebb-231838e55d25 · outbound

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

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 16

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source=pdf_text observed=2026-08-15T20:27:08.289937Z digest=sha256:f181aebacec58ca993321f80c7ae8c26f6213c082357e316da6502b4ac5fa425

Observation 69e2df64-8e2b-44a9-b620-ea5c2e5c74bb · outbound

This paper cites Resource estimation via efficient compilation of key quantum primitives.arXiv preprint arXiv:2604.01376, 2026.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Resource estimation via efficient compilation of key quantum primitives.arXiv preprint arXiv:2604.01376, 2026

Reference 17

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source=pdf_text observed=2026-08-15T20:27:08.292827Z digest=sha256:ef962db810b3c647922ae25f2232a1169b8180cee301f07d0cb42f2e738fba61

Observation e7a60987-a0d5-48d3-b465-6fd26e3ae43e · outbound

This paper cites Analysis of surface code algorithms on quantum hardware using the qrisp framework.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Analysis of surface code algorithms on quantum hardware using the qrisp framework

Reference 18

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Observation d9aa8c14-fcd9-42f9-adf7-61a74c36f3cd · outbound

This paper cites How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

Reference 19

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source=pdf_text observed=2026-08-15T20:27:08.298224Z digest=sha256:89f3cd1c82647b9ae7ebf2569129d933d06e8ecc8b3bd36a67d83aa827b91bfe

Observation 80ad1e76-dce1-43a8-8435-3a899a2a3987 · outbound

This paper cites Quantum computational networks.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Quantum computational networks

Reference 20

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source=pdf_text observed=2026-08-15T20:27:08.301069Z digest=sha256:4a4bf9916d6b9429b002bc9908e5a458697c6e7fd42d8f87f5bf14a2b476d343

Observation 47f3d374-4085-4954-b9e1-b1bdeedf8763 · outbound

This paper cites EQISA: Energy-efficient quantum instruction set architecture using sparse dictionary learning.arXiv preprint arXiv:2603.20646, 2026.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization EQISA: Energy-efficient quantum instruction set architecture using sparse dictionary learning.arXiv preprint arXiv:2603.20646, 2026

Reference 21

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source=pdf_text observed=2026-08-15T20:27:08.303649Z digest=sha256:615499d2192bd1c06251d3962acf1f1b9cc36e6cae4be05e07491580dcc8dc26

Observation ba4c3e89-0d3f-4002-af4d-89d363987fdc · outbound

This paper cites Disentangling hype from practicality: On realistically achieving quantum advantage.Communications of the ACM, 66(5):82–87, 2023.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Disentangling hype from practicality: On realistically achieving quantum advantage.Communications of the ACM, 66(5):82–87, 2023

Reference 22

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Observation ccce9550-80bf-4247-bf7d-608cddb214f6 · outbound

This paper cites In19th USENIX Symposium on Operating Systems Design and Implementation (OSDI 25), pages 429–447, 2025.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization In19th USENIX Symposium on Operating Systems Design and Implementation (OSDI 25), pages 429–447, 2025

Reference 23

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source=pdf_text observed=2026-08-15T20:27:08.308664Z digest=sha256:27d7c798630bb808b867de1c4f087249c2078d214b8993b4a29bbc9268d7bc95

Observation 419bfa32-da08-409f-bc4f-a9cb06a97e87 · outbound

This paper cites Compilation of fault-tolerant quantum heuristics for combinatorial optimization.PRX quantum, 1(2):020312, 2020.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Compilation of fault-tolerant quantum heuristics for combinatorial optimization.PRX quantum, 1(2):020312, 2020

Reference 24

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source=pdf_text observed=2026-08-15T20:27:08.311615Z digest=sha256:3bf9b6a5526c595831515857037dc3b3658a5afffea9ddeb9d3378dc1b9239da

Observation 4fbb8df6-d628-4059-bde7-014872c196c4 · outbound

This paper cites Nearly optimal quantum algorithm for generating the ground state of a free quantum field theory.PRX Quantum, 3(2):020364, 2022.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Nearly optimal quantum algorithm for generating the ground state of a free quantum field theory.PRX Quantum, 3(2):020364, 2022

Reference 25

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source=pdf_text observed=2026-08-15T20:27:08.314229Z digest=sha256:ee30335526ff63fe891a47b857e873accfe9d33b3c0fa41c75d5e9be78e683de

Observation 69057057-104e-43d0-9d16-6f308b7b4b7d · outbound

This paper cites How to factor 2048 bit RSA integers with less than a million noisy qubits.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization How to factor 2048 bit RSA integers with less than a million noisy qubits

Reference 26

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source=pdf_text observed=2026-08-15T20:27:08.317190Z digest=sha256:8f738139a259476fa39b31e6b978c328996c61cff81924c8eaaade3119316ba4

Observation 69d20d3f-fe47-4cba-90d7-b4a3ff0a89f4 · outbound

This paper cites Lego_hqec: Automating the analysis, construction, and decoding of holographic quantum codes.arXiv preprint arXiv:2410.22861, 2024.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Lego_hqec: Automating the analysis, construction, and decoding of holographic quantum codes.arXiv preprint arXiv:2410.22861, 2024

Reference 27

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Observation 7a0028e2-ae8f-4935-8c34-9ffe8c58d7f1 · outbound

This paper cites Qure: The quantum resource estimator toolbox.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Qure: The quantum resource estimator toolbox

Reference 28

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Observation 703b21b4-389c-47b6-a44f-bd44741f6802 · outbound

This paper cites pyliqtr (lincoln laboratory quantum algorithm test and research), 2023.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization pyliqtr (lincoln laboratory quantum algorithm test and research), 2023

Reference 29

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Observation 0c5ed507-eaea-4b10-865b-df1bd9e6e6db · outbound

This paper cites Superconducting qubits in the millions: the potential and limitations of modularity.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Superconducting qubits in the millions: the potential and limitations of modularity

Reference 30

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Observation 2b525fb1-f56c-4536-80f5-190beb3cd815 · outbound

This paper cites benchq: Resource estimation for fault-tolerant quantum computation., 2023.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization benchq: Resource estimation for fault-tolerant quantum computation., 2023

Reference 31

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Observation abf7cc4d-b333-4449-8f69-0c0148253e65 · outbound

This paper cites Design and efficiency in graph-state computation.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Design and efficiency in graph-state computation

Reference 32

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source=pdf_text observed=2026-08-15T20:27:08.334383Z digest=sha256:6371f2cc021ba1ab933eae99d5ec623961476bc4b7d8b73cc235bf7319c1e191

Observation 2a45c701-bbb7-4637-bdc0-27049edc66bd · outbound

This paper cites Practical quantum advantage on partially fault-tolerant quantum computer.Physical Review X, 15(2):021057, 2025.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Practical quantum advantage on partially fault-tolerant quantum computer.Physical Review X, 15(2):021057, 2025

Reference 33

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Observation 58572fb8-edce-49e9-a1e2-bae15316dacc · outbound

This paper cites Enabling chemically accurate quantum phase estimation in the early fault-tolerant regime.arXiv preprint arXiv:2603.22778, 2026.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Enabling chemically accurate quantum phase estimation in the early fault-tolerant regime.arXiv preprint arXiv:2603.22778, 2026

Reference 34

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Observation a95274a1-85bc-4716-ae6d-d419d1a2200b · outbound

This paper cites Resource Estimation for Fault-Tolerant Quantum Programs.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Resource Estimation for Fault-Tolerant Quantum Programs

Reference 35

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source=pdf_text observed=2026-08-15T20:27:08.342889Z digest=sha256:7b52f40018fdafc74f5ce7622643c51e7d4cff4b8ab11322ca5d4beb0ae4543c

Observation 877239e3-cb68-4704-84c5-f834f89216f3 · outbound

This paper cites Scaffcc: Scalable compilation and analysis of quantum programs.Parallel Computing, 45:2–17, 2015.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Scaffcc: Scalable compilation and analysis of quantum programs.Parallel Computing, 45:2–17, 2015

Reference 36

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source=pdf_text observed=2026-08-15T20:27:08.345642Z digest=sha256:edf2be21a3de8c58c80f4ff16eb108855da03005f85b31f9b9fdea78a7979c31

Observation 4a33fe2e-9a98-4e1b-88e3-dba804663dff · outbound

This paper cites Openqasm 3: A broader and deeper quantum assembly language.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Openqasm 3: A broader and deeper quantum assembly language

Reference 37

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source=pdf_text observed=2026-08-15T20:27:08.348319Z digest=sha256:c6a2ec3398eca5557d752d8e752d0be66cab8332c29169c8a3f8fe48833a6504

Observation f1cb40ea-efae-4ef6-8b61-5266710ce6e0 · outbound

This paper cites Gprof: A call graph execution profiler.ACM Sigplan Notices, 17(6):120–126, 1982.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Gprof: A call graph execution profiler.ACM Sigplan Notices, 17(6):120–126, 1982

Reference 38

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source=pdf_text observed=2026-08-15T20:27:08.351893Z digest=sha256:c49feff30f99cc8160c08a29be3c9f41f0e3632343c5893c57959c37222b82cf

Observation 890ce13d-439a-4fb5-aae1-be18c513abc0 · outbound

This paper cites Qprof: A gprof-inspired quantum profiler.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Qprof: A gprof-inspired quantum profiler

Reference 39

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source=pdf_text observed=2026-08-15T20:27:08.354440Z digest=sha256:241154cfaa5f4e68c76e276aa27c3a131c193ce9e6851103d5dc7db90dcae4c6

Observation cbb6843c-696d-4636-8df4-25704815a5db · outbound

This paper cites Breaking down quantum compilation: Profiling and identifying costly passes.arXiv preprint arXiv:2504.15141, 2025.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Breaking down quantum compilation: Profiling and identifying costly passes.arXiv preprint arXiv:2504.15141, 2025

Reference 40

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source=pdf_text observed=2026-08-15T20:27:08.357167Z digest=sha256:11dfeac86e98d1e1aa849a492458baf06309473197cb3d3511ed860a440473a6

Observation be497e44-f430-4abc-8fe8-6968a26f356c · outbound

This paper cites Robust resource bounds with static analysis and bayesian inference.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Robust resource bounds with static analysis and bayesian inference

Reference 41

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source=pdf_text observed=2026-08-15T20:27:08.360003Z digest=sha256:7a48f6a8cd5317c392534a7cb22e02b52ad4707661b3654dfc81cd88b6058e46

Observation c6b59128-f3c4-4225-9992-cacadae26e56 · outbound

This paper cites Integrating resource analyses via resource decomposition.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Integrating resource analyses via resource decomposition

Reference 42

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source=pdf_text observed=2026-08-15T20:27:08.362819Z digest=sha256:271e4791ab26fe5e7e0ba97aab697f93070bba8407e8561fa87bd67352e564fa

Observation d5b5eb77-3ccf-4c9a-8163-b0e4e9486139 · outbound

This paper cites Flexible type-based resource estimation in quantum circuit description languages.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Flexible type-based resource estimation in quantum circuit description languages

Reference 43

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source=pdf_text observed=2026-08-15T20:27:08.365513Z digest=sha256:c79752246a3fa24db05aab1e39fc82f007fbbd8137a0c765af259493ea3f0168

Observation b2fdf76f-2c51-40e9-9cd3-1515832ba471 · outbound

This paper cites Enabling accuracy-aware quantum compilers using symbolic resource estimation.Proceedings of the ACM on Programming Languages, 4(OOPSLA):1–26, 2020.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Enabling accuracy-aware quantum compilers using symbolic resource estimation.Proceedings of the ACM on Programming Languages, 4(OOPSLA):1–26, 2020

Reference 44

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source=pdf_text observed=2026-08-15T20:27:08.368141Z digest=sha256:2c1b28cb346d8963f986f9d0b97485db032a0fa9781ade4b76814922b86cd563

Observation c1a2b3ec-4916-47ed-b263-a3b1ac013da3 · outbound

This paper cites Algorithmic profiling.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Algorithmic profiling

Reference 45

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source=pdf_text observed=2026-08-15T20:27:08.370728Z digest=sha256:c854d9597ed2cea2a6a32536567b60f453917d6498afc717bd9ef6a8f1da8f0b

Observation 99605204-ec61-4931-b2b6-b758977c752b · outbound

This paper cites Using finite experiments to study asymptotic performance.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Using finite experiments to study asymptotic performance

Reference 46

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source=pdf_text observed=2026-08-15T20:27:08.373414Z digest=sha256:2ec95292a057e3d489b6349a9c366c5dcd4c19ec4a27716923060e6913bb0165

Observation 0945a0e2-a8cb-4f58-9094-9aed46a534fd · outbound

This paper cites Classes of recursively enumerable sets and their decision problems.Transactionsof the American Mathematical society, 74(2):358–366, 1953.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Classes of recursively enumerable sets and their decision problems.Transactionsof the American Mathematical society, 74(2):358–366, 1953

Reference 47

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source=pdf_text observed=2026-08-15T20:27:08.376047Z digest=sha256:0ad9e17eb71684faa6a9ed60f2a90d2c67af788ad942c33892befde9f835d3fd

Observation 2f9d32a8-5cee-4a06-940d-0106827c3f3c · outbound

This paper cites Building a quantum-ready ecosystem.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Building a quantum-ready ecosystem

Reference 48

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source=pdf_text observed=2026-08-15T20:27:08.378767Z digest=sha256:88561c92b95c95880fe1e1e34d629f48071999095130fc4ffc1ef679c30e9624

Observation 2c0d1e37-e8fe-4f32-b3b2-92a8e5dcc9b7 · outbound

This paper cites Design patterns: elements of reusable object-oriented software.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Design patterns: elements of reusable object-oriented software

Reference 49

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source=pdf_text observed=2026-08-15T20:27:08.381424Z digest=sha256:0ce371aad084070e0d64fcf1a5440715221ab4de5f13c4c23681dbbacf916135

Observation 423e98bd-88d8-4f8d-9d9e-3537720f53ce · outbound

This paper cites t| ket>: a retargetable compiler for nisq devices.Quantum Science & Technology, 6(1):014003, 2021.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization t| ket>: a retargetable compiler for nisq devices.Quantum Science & Technology, 6(1):014003, 2021

Reference 50

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source=pdf_text observed=2026-08-15T20:27:08.384175Z digest=sha256:3fb4f4484cc784447e38b27f6d107694a2dbc670a394f0a920d5e874fe021c03

Observation 7d591554-85d6-4534-b9e2-2cb74e2a3521 · outbound

This paper cites Active-learning-based surrogate models for empirical performance tuning.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Active-learning-based surrogate models for empirical performance tuning

Reference 51

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source=pdf_text observed=2026-08-15T20:27:08.387003Z digest=sha256:532e4d8d75d4f92c898bf8c5d68f75bba96df787aeeb2b2651a248e061edf6a0

Observation 93d2dd03-ceaa-4d7c-9b0d-a54f1b2ae5f1 · outbound

This paper cites An optimization approach to generate accurate and efficient lookup tables for engineering applications.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization An optimization approach to generate accurate and efficient lookup tables for engineering applications

Reference 52

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source=pdf_text observed=2026-08-15T20:27:08.389884Z digest=sha256:2d43d3c0c4c39797aaaa1416791e2fea28a3fdac322e489d60e8929ccbe3719c

Observation 80fe5143-e7c7-463a-ae23-96a4779849ff · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 53

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source=pdf_text observed=2026-08-15T20:27:08.392520Z digest=sha256:7c212709243206d837dfd71b37c4482c101bc4a886f3e0b744213608d73e28ce

Observation a5340d54-b320-470d-aeee-fd4751676ad6 · outbound

This paper cites Evolving neural networks through augmenting topologies.Evolutionary computation, 10(2):99–127, 2002.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Evolving neural networks through augmenting topologies.Evolutionary computation, 10(2):99–127, 2002

Reference 54

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source=pdf_text observed=2026-08-15T20:27:08.395359Z digest=sha256:b846c340311b266fa4a0a70a04f08b0cb234e5d49f671ebf5a2b7f90eae0c977

Observation c6a645dc-fd66-4e10-8fd9-a04854c0410c · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Optuna: A next-generation hyperparameter optimization framework

Reference 55

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source=pdf_text observed=2026-08-15T20:27:08.398078Z digest=sha256:79f983c1348c1d920710eaa99596f91390e181dc91f237b1dc920d1ac111fc4d

Observation f896fb78-7102-4a06-ab1d-ce49fcce9c14 · outbound

This paper cites Child: A first step towards continual learning.Machine Learning, 28(1):77–104, 1997.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Child: A first step towards continual learning.Machine Learning, 28(1):77–104, 1997

Reference 56

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source=pdf_text observed=2026-08-15T20:27:08.400643Z digest=sha256:4affa2bbc62e268628a943b8294a42652146f1aa3bc012d3b6405bf30e306b4b

Observation 10194889-2183-46d5-baab-3654a6eee2b4 · outbound

This paper cites A Practical Open-Source Software Stack for a Cloud-Based Quantum Computing System.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization A Practical Open-Source Software Stack for a Cloud-Based Quantum Computing System

Reference 57

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source=pdf_text observed=2026-08-15T20:27:08.403355Z digest=sha256:f5057a72192139da229baa6971d185d0ea4ad7493a0f9d0be00cd6f9bccaf1c5

Observation 236c5038-8c15-4556-9843-8401528975f3 · outbound

This paper cites Sympy: symbolic computing in python.PeerJ Computer Science, 3:e103, 2017.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Sympy: symbolic computing in python.PeerJ Computer Science, 3:e103, 2017

Reference 58

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source=pdf_text observed=2026-08-15T20:27:08.406423Z digest=sha256:570b08d5839ddbc0f82a123140383f10737c6d64a44176fbd29fd425a37d7fb5

Observation bb41a6e6-0efd-4b54-8cb7-40e8bd8f2b72 · outbound

This paper cites Symantic: An efficient symbolic regression method for interpretable and parsimonious model discovery in science and beyond.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Symantic: An efficient symbolic regression method for interpretable and parsimonious model discovery in science and beyond

Reference 59

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source=pdf_text observed=2026-08-15T20:27:08.409102Z digest=sha256:6a9df307f906f83a3269ae0c24125722e8db5ce022769d2e9a3f7fc65a3594aa

Observation 7a5fc8f5-dede-408a-953f-b1472b98c584 · outbound

This paper cites an unresolved cited work.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-15T20:27:08.411747Z digest=sha256:0278868ba8bec4ca76c24caab62a324bd9c06b38d4c507686a98c59afcf965da

Observation 8a7c5d38-c73d-4747-88b1-a8a2f122dfb6 · outbound

This paper cites Mqt bench: Benchmarking software and design automation tools for quantum computing.Quantum, 7:1062, 2023.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Mqt bench: Benchmarking software and design automation tools for quantum computing.Quantum, 7:1062, 2023

Reference 61

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source=pdf_text observed=2026-08-15T20:27:08.414307Z digest=sha256:8c494fb4c73baf7582f4a8d15f2ee92ce7589d0e1ac526a5211203d0680c7752

Observation 6b40c45e-41c7-42e1-9f7a-16484f08a6fb · outbound

This paper cites Progressive Binarization - Pauli Correlation Encoding: a Continuation Method for Constrained Optimization.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Progressive Binarization - Pauli Correlation Encoding: a Continuation Method for Constrained Optimization

Reference 62

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source=pdf_text observed=2026-08-15T20:27:08.417093Z digest=sha256:fec475e28341f4d1b40a5bc142a07d70f786939bd896c4097ca3c0c340dcaca0

Observation a8cb813a-8a29-425f-93fa-d9eaafa32a3c · outbound

This paper cites Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning

Reference 63

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source=pdf_text observed=2026-08-15T20:27:08.420271Z digest=sha256:f02b438b7b2afb2ff5dc2202386de3a2f6a0f5bad066c0dfa277c9e431b5ce00

Observation ef39ccef-2fee-4cc2-b3ef-e07e1ed72b62 · outbound

This paper cites Practical quantum advantage in quantum simulation.Nature, 607(7920):667–676, 2022.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Practical quantum advantage in quantum simulation.Nature, 607(7920):667–676, 2022

Reference 64

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source=pdf_text observed=2026-08-15T20:27:08.423114Z digest=sha256:fd1b29cdabd476ab893dc9b77695689c1912881affffe3969d18731549d1db8b

Observation 65042255-26a0-4d97-a4b9-d61be7092f6f · outbound

This paper cites Finding exponential product formulas of higher orders.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Finding exponential product formulas of higher orders

Reference 65

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source=pdf_text observed=2026-08-15T20:27:08.425976Z digest=sha256:15f6d5422062c56a542c09080946c212697d9002ffb659cdc9baafa12f5572c8

Observation 24800b61-15b4-4edf-9a13-5abe1b89b420 · outbound

This paper cites Digital zero noise extrapolation for quantum error mitigation.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Digital zero noise extrapolation for quantum error mitigation

Reference 66

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source=pdf_text observed=2026-08-15T20:27:08.429008Z digest=sha256:7cd6a54006269e77094c373c5d7009b9e6d90755a61c93d4a204948765511a18

Observation 70fff9e4-8d86-44d3-88a2-efca8decba1f · outbound

This paper cites Optimal-order trotter–suzuki decomposition for quantum simulation on noisy quantum computers: Aa avtandilyan, wv pogosov.Quantum Information Processing, 24(1):8, 2024.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Optimal-order trotter–suzuki decomposition for quantum simulation on noisy quantum computers: Aa avtandilyan, wv pogosov.Quantum Information Processing, 24(1):8, 2024

Reference 67

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source=pdf_text observed=2026-08-15T20:27:08.431536Z digest=sha256:93d39fa07a5252d7a43633b667562ab101605cb55166cb790b8fdf9128d93536

Observation b6824569-f600-4965-8367-b7fb30a70590 · outbound

This paper cites Exponentially decaying quantum simulation error with noisy devices.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Exponentially decaying quantum simulation error with noisy devices

Reference 68

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source=pdf_text observed=2026-08-15T20:27:08.434377Z digest=sha256:4f7435dda9f0567ebbcd91e597a56744829ee2fb3cbf1bc58326398dc2d533a0

Observation b715127f-01c6-48c0-8e30-75b5ca123878 · outbound

This paper cites A comprehensive cross-model framework for benchmarking the performance of quantum hamiltonian simulations.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization A comprehensive cross-model framework for benchmarking the performance of quantum hamiltonian simulations

Reference 69

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source=pdf_text observed=2026-08-15T20:27:08.437179Z digest=sha256:8e02a81eb855e6fafc42c8eef33ab78f40255cb57210828ecc0e9f6b2d5d8e98

Observation c9529af3-ac88-4c5e-ba07-60ea985924d7 · outbound

This paper cites Software for creating scalable benchmarks from quantum algorithms.arXiv preprint arXiv:2511.02134, 2025.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Software for creating scalable benchmarks from quantum algorithms.arXiv preprint arXiv:2511.02134, 2025

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source=pdf_text observed=2026-08-15T20:27:08.439869Z digest=sha256:b6f054a85508e03a23b3a047ee74ab5986cf706a534340f317eda4b058c3065a

Observation 7bbc2f6d-714f-4771-80a6-411a75f7d8d2 · outbound

This paper cites Qutip: An open-source python framework for the dynamics of open quantum systems.Computer physics communications, 183(8):1760–1772, 2012.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Qutip: An open-source python framework for the dynamics of open quantum systems.Computer physics communications, 183(8):1760–1772, 2012

Reference 71

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source=pdf_text observed=2026-08-15T20:27:08.442475Z digest=sha256:50638017e75e76773fa0a2cbb230243488bc59f2b0434f079cea5328f057bb32

Observation 77b8b114-a128-45c9-9325-22f124ee1edf · outbound

This paper cites Wood, Jake Lishman, Julien Gacon, Simon Martiel, Paul D.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Wood, Jake Lishman, Julien Gacon, Simon Martiel, Paul D

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source=pdf_text observed=2026-08-15T20:27:08.445387Z digest=sha256:b18ccdf2dfca919a407a6c13dd3ca29ec38f50634760474e1618854de4e6d07b

Observation c3e083c9-b270-4e35-9fbf-314c4dec487c · outbound

This paper cites On the generators of quantum dynamical semigroups.Communications in mathematical physics, 48(2):119–130, 1976.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization On the generators of quantum dynamical semigroups.Communications in mathematical physics, 48(2):119–130, 1976

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source=pdf_text observed=2026-08-15T20:27:08.447918Z digest=sha256:f254f7a3ff7195d764c85733f516b8cc69eecfba33b8dee9469aa8214a2c948c

Observation ab4a71c5-23f6-4703-964f-fb9dd2931962 · outbound

This paper cites Efficient quantum algorithm to simulate open systems through a single environmental qubit.Physical Review Research, 6(4):043321, 2024.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Efficient quantum algorithm to simulate open systems through a single environmental qubit.Physical Review Research, 6(4):043321, 2024

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no resolver link, observed 2026-08-15T20:27:08.450904Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:27:08.450904Z digest=sha256:457f5c16a58cb005a451c479c85b6c07b8dd2dd138a59af259c5097df04f5a44

Observation ea1388f4-d01b-4610-9997-7f2e7d994c81 · outbound

This paper cites Improved accuracy for trotter simulations using chebyshev interpolation.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Improved accuracy for trotter simulations using chebyshev interpolation

Reference 75

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source=pdf_text observed=2026-08-15T20:27:08.453490Z digest=sha256:e4730a6a8f758f50f826ab0d64b18e95dc1d1f0fe68910c352e5177812913da6

Observation b55d8b6c-e4f0-4b27-8183-05f9695aaa0d · outbound

This paper cites Reducing circuit depth in lindblad simulation via step-size extrapolation.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Reducing circuit depth in lindblad simulation via step-size extrapolation

Reference 76

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source=pdf_text observed=2026-08-15T20:27:08.456222Z digest=sha256:c629b792f865c45b07f6c602eb9be61ec9d893e491ebef4b6dc96ddf81064ca9

Observation 8a09b9ba-8d4b-42f1-95b2-3c1e0559179e · outbound

This paper cites A random compiler for fast Hamiltonian simulation.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization A random compiler for fast Hamiltonian simulation

Reference 77

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source=pdf_text observed=2026-08-15T20:27:08.458983Z digest=sha256:3ab07d2544ee0e03b12af1860021b33215ae02fe0045eff69c7b72633848723f

Observation 7f427637-3982-42d6-85f9-228c02267087 · outbound

This paper cites Quantum trajectories and open many-body quantum systems.Advances in Physics, 63(2):77–149, 2014.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Quantum trajectories and open many-body quantum systems.Advances in Physics, 63(2):77–149, 2014

Reference 78

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:27:08.461989Z digest=sha256:9722dd6e1a93b4ed5a19f3b4b2fbb06054b3fb5cdd76b460416689bae188d493

Observation a4cf169e-41de-4df6-9a9f-79f1d0bdffca · outbound

This paper cites Quantum error mitigation as a universal error reduction technique: Applications from the nisq to the fault-tolerant quantum computing eras.PRX quantum, 3(1):010345, 2022.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Quantum error mitigation as a universal error reduction technique: Applications from the nisq to the fault-tolerant quantum computing eras.PRX quantum, 3(1):010345, 2022

Reference 79

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source=pdf_text observed=2026-08-15T20:27:08.464757Z digest=sha256:0a34cdca38049f0052f1dd26f85aeec2cdf1df87b5c9ca23d19f1a869048dd06

Observation 9c94d963-1105-4cdc-bb8c-994b52d7df46 · outbound

This paper cites Zero noise extrapolation on logical qubits by scaling the error correction code distance.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Zero noise extrapolation on logical qubits by scaling the error correction code distance

Reference 80

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source=pdf_text observed=2026-08-15T20:27:08.467475Z digest=sha256:1d46fbec6a74109f1c68865e5e9158d3005877ed746e5a81752ed625a7c74d10

Observation 4f19dbb2-58c0-4580-a79f-0e637c2fe712 · outbound

This paper cites Multiple-particle interference and quantum error correction.Proceedings of the Royal Society of London.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Multiple-particle interference and quantum error correction.Proceedings of the Royal Society of London

Reference 81

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source=pdf_text observed=2026-08-15T20:27:08.470239Z digest=sha256:0fa3fd0716372729a19e8f7c921268042a8b582424a81e0248428af88eef3feb

Observation 9d03eb87-4d59-4900-8b97-8f4b891f07f6 · outbound

This paper cites Code switching revisited: Low-overhead magic state preparation using color codes.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Code switching revisited: Low-overhead magic state preparation using color codes

Reference 82

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source=pdf_text observed=2026-08-15T20:27:08.473093Z digest=sha256:7a32e7f1c4f9dd5f2fbd98acd152134d96c791b470b9658c83e894b15dc7c5ff

Observation 2eab294d-817f-4590-b6ed-b048aa738cce · outbound

This paper cites Tackling the qubit mapping problem for nisq-era quantum devices.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Tackling the qubit mapping problem for nisq-era quantum devices

Reference 83

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source=pdf_text observed=2026-08-15T20:27:08.476196Z digest=sha256:237cd6712dd3d11d1507df5faeefd14c3bafe230065792869dd45aac8e4fefa2

Observation d6e16769-ad9b-4cc8-83a1-8402ac79cb23 · outbound

This paper cites LightSABRE: A Lightweight and Enhanced SABRE Algorithm.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization LightSABRE: A Lightweight and Enhanced SABRE Algorithm

Reference 84

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source=pdf_text observed=2026-08-15T20:27:08.478966Z digest=sha256:6835f3d9b5bed147744ba9e477d3dc904e74cf53e457c5962d93556ba01c772a

Observation 984f6f9a-574f-4232-ab3b-069e36baf259 · outbound

This paper cites Experimental demonstration of high-fidelity logical magic states from code switching.Physical Review X, 15(4):041008, 2025.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Experimental demonstration of high-fidelity logical magic states from code switching.Physical Review X, 15(4):041008, 2025

Reference 85

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source=pdf_text observed=2026-08-15T20:27:08.482026Z digest=sha256:f52d0092509693d3b833133fb0ce4572d04170d5eb73103e5cabf4a955fdba4c

Observation 68ba5a98-1491-451d-81f6-c30a5713c272 · outbound

This paper cites Magic state cultivation: growing T states as cheap as CNOT gates.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Magic state cultivation: growing T states as cheap as CNOT gates

Reference 86

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source=pdf_text observed=2026-08-15T20:27:08.484771Z digest=sha256:0ab7d626e027fa7d4add4bf117be19fdee6c30b4a7c06c39d938e47109b52bae

Observation 2a835dcf-b266-4eb6-822e-28249039d7ab · outbound

This paper cites Protecting expressive circuits with a quantum error detection code.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Protecting expressive circuits with a quantum error detection code

Reference 87

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source=pdf_text observed=2026-08-15T20:27:08.487715Z digest=sha256:03f45aece2f4c56970ac6ea15c15f7dd7da33e94e07a1162ca63a30f36f55192

Observation 26b50923-d6b6-4e95-aecb-d811190823cf · outbound

This paper cites Partially fault-tolerant quantum computing architecture with error-corrected clifford gates and space-time efficient analog rotations.PRX quantum, 5(1):010337, 2024.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Partially fault-tolerant quantum computing architecture with error-corrected clifford gates and space-time efficient analog rotations.PRX quantum, 5(1):010337, 2024

Reference 88

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source=pdf_text observed=2026-08-15T20:27:08.490504Z digest=sha256:490f714aa9a442a41a7d457aa99d7a3c32a7cb8b4f94e1aace5e6345f75450b7

Observation f0cf1587-ca67-49c9-b605-c311c5dff2f8 · outbound

This paper cites The battle of clean and dirty qubits in the era of partial error correction.Quantum, 7:1060, 2023.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization The battle of clean and dirty qubits in the era of partial error correction.Quantum, 7:1060, 2023

Reference 89

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source=pdf_text observed=2026-08-15T20:27:08.493383Z digest=sha256:07f74f84a9030c8ad98fbcc32f847b05febe497bda5a6945b217e2505d2c9156

Observation 88cb92c6-5731-4896-a4d6-69408a888cf5 · outbound

This paper cites Optimized clifford noise reduction: Theory, simulations and experiments.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Optimized clifford noise reduction: Theory, simulations and experiments

Reference 90

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source=pdf_text observed=2026-08-15T20:27:08.497246Z digest=sha256:63c75698523719af4ff63449d56fe0d03fc17127c792b004fcfa885a72cd7d8a

Observation ede3afd0-e0b5-460c-872f-806b20bc8bcf · outbound

This paper cites A game of surface codes: Large-scale quantum computing with lattice surgery.Quantum, 3:128, 2019.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization A game of surface codes: Large-scale quantum computing with lattice surgery.Quantum, 3:128, 2019

Reference 91

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source=pdf_text observed=2026-08-15T20:27:08.499989Z digest=sha256:d2c17521a8af32fef36e0a98d9c7fbf510b6e90ff8e8ddc340865577d73fff6d

Observation 3d3a15d1-ed25-41ec-9dbd-0e1455cd873a · outbound

This paper cites Quantum low-density parity-check codes.PRX quantum, 2(4):040101, 2021.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Quantum low-density parity-check codes.PRX quantum, 2(4):040101, 2021

Reference 92

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source=pdf_text observed=2026-08-15T20:27:08.502726Z digest=sha256:58a5cc94349ac759a031f4b04dcb969f92cccfe6cb8596148cf55c01fa3010d3

Observation 75b7ca06-7b7e-4b9e-90e4-3ccf02d28988 · outbound

This paper cites Reducing t gates with unitary synthesis.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Reducing t gates with unitary synthesis

Reference 93

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:27:08.505540Z digest=sha256:67680e5c6a1ac6d0fc3644e31908f60b9bd9ac18dd8fe93971eef700318453c2

Observation a0e19b72-82f5-4fbd-9209-f8984985b39b · outbound

This paper cites Optimal ancilla-free clifford+ t approximation of z-rotations.Quantum Inf.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Optimal ancilla-free clifford+ t approximation of z-rotations.Quantum Inf

Reference 94

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source=pdf_text observed=2026-08-15T20:27:08.508162Z digest=sha256:7d230f51db2be8db27b3c4b413f366c9d50ade410cceb3528eee4e6def65b7e3

Observation 56a33238-6c25-4db8-bddf-0f83335e5c65 · outbound

This paper cites An accurate and efficient analytic model of fidelity under depolarizing noise oriented to large scale quantum system design.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization An accurate and efficient analytic model of fidelity under depolarizing noise oriented to large scale quantum system design

Reference 95

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verified fuzzy
raw_fallback, observed 2026-08-15T20:27:10.230373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:27:08.510897Z digest=sha256:9194b60dffd86f011a475feaf84d1baf4194ef2146083d9dcbf0dd3bee585f18

Observation 727ce9b3-4772-4d49-9009-ebd666406dd3 · outbound

This paper cites Magic state distillation: Not as costly as you think.Quantum, 3:205, 2019.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Magic state distillation: Not as costly as you think.Quantum, 3:205, 2019

Reference 96

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:27:08.513869Z digest=sha256:ac5501518b63bc3e257536202f7ae9fed54b68a91660974ead06ac40b8094356

Observation c9fcaf21-8bad-4a33-aa37-53927d713389 · outbound

This paper cites The Solovay-Kitaev algorithm.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization The Solovay-Kitaev algorithm

Reference 97

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:27:08.516528Z digest=sha256:a2a45c22910d27e4b11b364f995810d297ee125c1d14b7aab9fff2d1d4341a0b

Observation 94f5cd85-9677-46a6-9e86-5ca70b710238 · outbound

This paper cites Optimal ancilla-free clifford+ t synthesis for general single-qubit unitaries.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Optimal ancilla-free clifford+ t synthesis for general single-qubit unitaries

Reference 98

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no resolver link, observed 2026-08-15T20:27:08.520464Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:27:08.520464Z digest=sha256:084e1f2780deccff9c1d7a6aca8e7cf48eb780b0d339ad0602285016750c7ebb

Observation 4f7d6a7c-9f08-4549-8820-1740d9da276d · outbound

This paper cites Synthesis of quantum logic circuits.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Synthesis of quantum logic circuits

Reference 99

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raw_fallback, observed 2026-08-15T20:27:10.216579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:27:08.523425Z digest=sha256:6afa84056cf3a0b4974f5c8863bb985a200c0c3b77c1702ddc6f66cc0482ba10

Observation cda5df47-471e-48e3-ae1e-210c01ae3850 · outbound

This paper cites Improving quantum circuit synthesis with machine learning.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Improving quantum circuit synthesis with machine learning

Reference 100

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verified fuzzy
raw_fallback, observed 2026-08-15T20:27:10.208271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:27:08.526094Z digest=sha256:28661dce3657da6f3a97a2166cca457caadbfb1b024a0873fd552bfd64aa3641

Observation daa171ca-f513-44de-aff4-34e3a15a49d7 · outbound

This paper cites Parameter-optimal unitary synthesis with flag decompositions.arXiv preprint arXiv:2603.20376, 2026.

AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization Parameter-optimal unitary synthesis with flag decompositions.arXiv preprint arXiv:2603.20376, 2026

Reference 101

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:27:08.528957Z digest=sha256:e81053145587877b6a1c8d728866b60c271f3858630cddffa79c9150dad8002c

Pith citing papers

No inbound Pith citation observations are available.