Replay-buffer engineering for noise-robust quantum circuit optimization | Paper Citation Record

Observation d4f3c8a8-f145-4a83-8289-f73cb6284d0a · outbound

This paper cites 9 Challenges and opportunities in quantum optimization.Nature Reviews Physics, 6(12):718– 735.

Replay-buffer engineering for noise-robust quantum circuit optimization 9 Challenges and opportunities in quantum optimization.Nature Reviews Physics, 6(12):718– 735

Reference 1

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Observation 8ead0dd3-3979-4cd8-a6ff-c526e937049a · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Replay-buffer engineering for noise-robust quantum circuit optimization A Quantum Approximate Optimization Algorithm

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-11T14:16:10.115169Z

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Observation bb137f16-e1b5-4c05-92be-17d52a5833f2 · outbound

This paper cites Superconducting circuits for quantum informa- tion: an outlook.Science, 339(6124):1169–1174.

Replay-buffer engineering for noise-robust quantum circuit optimization Superconducting circuits for quantum informa- tion: an outlook.Science, 339(6124):1169–1174

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.554472Z

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Observation acc75870-09ab-4179-ad93-3bfe7390597a · outbound

This paper cites Enabling technologies for scalable su- perconducting quantum computing.

Replay-buffer engineering for noise-robust quantum circuit optimization Enabling technologies for scalable su- perconducting quantum computing

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:16:10.385976Z

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Observation 1973e711-b0e7-47c1-83cd-4b2d85681bf7 · outbound

This paper cites Superconducting qubits: Current state of play.Annual Review of Condensed Matter Physics, 11(1):369–395.

Replay-buffer engineering for noise-robust quantum circuit optimization Superconducting qubits: Current state of play.Annual Review of Condensed Matter Physics, 11(1):369–395

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.612408Z

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Observation a8e29cc9-8bc3-47b3-89d4-feb5b725bf64 · outbound

This paper cites Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets.nature, 549(7671):242–246.

Replay-buffer engineering for noise-robust quantum circuit optimization Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets.nature, 549(7671):242–246

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.501515Z

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Observation 488aad90-ef7d-4ebd-aeec-3e41ba39e353 · outbound

This paper cites Evidence for the utility of quantum computing before fault tolerance.Nature, 618(7965):500–505.

Replay-buffer engineering for noise-robust quantum circuit optimization Evidence for the utility of quantum computing before fault tolerance.Nature, 618(7965):500–505

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.517046Z

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Observation fe65cc37-cbec-45fd-b651-7ebf231c6e95 · outbound

This paper cites Quantum computing in the nisq era and beyond.Quantum, 2:79.

Replay-buffer engineering for noise-robust quantum circuit optimization Quantum computing in the nisq era and beyond.Quantum, 2:79

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.688626Z

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Observation 24af87a8-c649-4155-889f-f491ecc965eb · outbound

This paper cites Noisy intermediate-scale quantum algorithms.Reviews of Modern Physics, 94(1):015004.

Replay-buffer engineering for noise-robust quantum circuit optimization Noisy intermediate-scale quantum algorithms.Reviews of Modern Physics, 94(1):015004

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.703156Z

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Observation c050178f-98df-4168-9289-30efae33256c · outbound

This paper cites Surface codes: Towards practical large-scale quantum computation.Physical Review A—Atomic, Molecular, and Optical Physics, 86(3):032324.

Replay-buffer engineering for noise-robust quantum circuit optimization Surface codes: Towards practical large-scale quantum computation.Physical Review A—Atomic, Molecular, and Optical Physics, 86(3):032324

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.616595Z

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Observation fee128c0-67b3-44fd-8efb-d931631d0a7b · outbound

This paper cites an unresolved cited work.

Replay-buffer engineering for noise-robust quantum circuit optimization Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-23T14:58:05.706793Z

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Observation b25dcce8-3f9c-4b21-b361-24176e56da06 · outbound

This paper cites Myths around quantum computation before full fault tolerance: What no-go theorems rule out and what they don't.

Replay-buffer engineering for noise-robust quantum circuit optimization Myths around quantum computation before full fault tolerance: What no-go theorems rule out and what they don't

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:16:11.216633Z

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Observation 13de1880-7a38-4621-b305-5e8f7e1f7470 · outbound

This paper cites MIT press Cambridge.

Replay-buffer engineering for noise-robust quantum circuit optimization MIT press Cambridge

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.494519Z

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Observation 6c978898-ba6e-47ad-bcf1-b3ad92223570 · outbound

This paper cites Reinforcement learning for optimization of variational quantum circuit architectures.

Replay-buffer engineering for noise-robust quantum circuit optimization Reinforcement learning for optimization of variational quantum circuit architectures

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.549262Z

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Observation d0341883-22ec-47aa-9bf2-df087dc0ea9f · outbound

This paper cites Bukov and F.

Replay-buffer engineering for noise-robust quantum circuit optimization Bukov and F

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:16:10.576455Z

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Observation 522d1eae-ca71-4b69-acff-34d5d6c3f738 · outbound

This paper cites Quantum compiling by deep reinforcement learning.Communications Physics, 4(1):178.

Replay-buffer engineering for noise-robust quantum circuit optimization Quantum compiling by deep reinforcement learning.Communications Physics, 4(1):178

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.536159Z

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Observation 67eb82ad-9fb0-4481-8347-e78bfc3a1394 · outbound

This paper cites Quantum Compiling with Reinforcement Learning on a Superconducting Processor.

Replay-buffer engineering for noise-robust quantum circuit optimization Quantum Compiling with Reinforcement Learning on a Superconducting Processor

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:16:10.526265Z

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Observation b3bfaf9b-5898-4570-92a7-ade074bbe424 · outbound

This paper cites Reinforcement learning-assisted quantum architecture search for variational quantum algorithms.

Replay-buffer engineering for noise-robust quantum circuit optimization Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:16:11.514815Z

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Observation e765a2ac-6338-4e2d-b9f9-087f5c9b8f09 · outbound

This paper cites Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, and Onur Danaci.

Replay-buffer engineering for noise-robust quantum circuit optimization Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, and Onur Danaci

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.608155Z

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Observation 00af5fc9-7482-437b-b6d1-6a6b30e5a3c1 · outbound

This paper cites Reinforcement learning decoders for fault-tolerant quantum computation.Machine Learning: Science and Technology, 2(2):025005.

Replay-buffer engineering for noise-robust quantum circuit optimization Reinforcement learning decoders for fault-tolerant quantum computation.Machine Learning: Science and Technology, 2(2):025005

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.620949Z

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Observation ef769203-a885-4492-8c11-db9b5f6b1c8b · outbound

This paper cites Realizing a deep reinforcement learning agent for real-time quantum feedback.Nature Communications, 14(1):7138.

Replay-buffer engineering for noise-robust quantum circuit optimization Realizing a deep reinforcement learning agent for real-time quantum feedback.Nature Communications, 14(1):7138

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.625029Z

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Observation a7bc8a5b-6f0e-45f1-8ef7-8d021ce64543 · outbound

This paper cites Realistic cost to ex- ecute practical quantum circuits using direct clifford+ t lattice surgery compilation.ACM Transactions on Quantum Computing, 5(4):1–28.

Replay-buffer engineering for noise-robust quantum circuit optimization Realistic cost to ex- ecute practical quantum circuits using direct clifford+ t lattice surgery compilation.ACM Transactions on Quantum Computing, 5(4):1–28

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.596457Z

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Observation 44a95b8f-33c5-4a31-bb43-a727808da685 · outbound

This paper cites Variational quan- tum algorithms.Nature Reviews Physics, 3(9):625–644.

Replay-buffer engineering for noise-robust quantum circuit optimization Variational quan- tum algorithms.Nature Reviews Physics, 3(9):625–644

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.574603Z

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Observation 6f2a21e7-7e97-42eb-a3e5-76309fde545d · outbound

This paper cites Tensorrl-qas: Reinforcement learning with tensor net- works for improved quantum architecture search.

Replay-buffer engineering for noise-robust quantum circuit optimization Tensorrl-qas: Reinforcement learning with tensor net- works for improved quantum architecture search

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.637791Z

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Observation 6a7aecce-08b6-48e8-89ef-7040beaf316d · outbound

This paper cites Quantum circuit discovery for fault-tolerant logical state preparation with reinforce- ment learning.Physical Review X, 15(4):041012.

Replay-buffer engineering for noise-robust quantum circuit optimization Quantum circuit discovery for fault-tolerant logical state preparation with reinforce- ment learning.Physical Review X, 15(4):041012

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.569514Z

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Observation c61e1672-baf0-4e4a-9996-007a97cfdb45 · outbound

This paper cites Deep q-learning from demonstrations.

Replay-buffer engineering for noise-robust quantum circuit optimization Deep q-learning from demonstrations

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.658044Z

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Observation e6f966d8-c520-448f-a00a-f59b744345ca · outbound

This paper cites Efficient online reinforcement learning fine-tuning need not retain offline data.

Replay-buffer engineering for noise-robust quantum circuit optimization Efficient online reinforcement learning fine-tuning need not retain offline data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.564950Z

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Observation c58f112b-d2d6-43cd-812a-d23b0a0cf150 · outbound

This paper cites Offline-to-online reinforcement learning via balanced replay and pessimistic q-ensemble.

Replay-buffer engineering for noise-robust quantum circuit optimization Offline-to-online reinforcement learning via balanced replay and pessimistic q-ensemble

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.650504Z

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Observation 0cc0930d-dbcc-40ea-9b01-830bf8074d1b · outbound

This paper cites Yu, and Yi Chang.

Replay-buffer engineering for noise-robust quantum circuit optimization Yu, and Yi Chang

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.654330Z

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Observation 9e5a4cf4-fc1e-4a1f-84e1-6ec211b04706 · outbound

This paper cites Adaptive replay buffer for offline-to-online reinforcement learning.

Replay-buffer engineering for noise-robust quantum circuit optimization Adaptive replay buffer for offline-to-online reinforcement learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.512073Z

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Observation 867de728-64eb-4872-bd08-29f4f9e4dd6b · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Replay-buffer engineering for noise-robust quantum circuit optimization Playing Atari with Deep Reinforcement Learning

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-11T14:16:10.217353Z

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Observation 91d90bf7-e36f-46c4-b8b3-de562643c7f7 · outbound

This paper cites Deep reinforcement learning with double q-learning.

Replay-buffer engineering for noise-robust quantum circuit optimization Deep reinforcement learning with double q-learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.560048Z

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Observation 17ac1ad5-072e-434c-8308-cbe18bf866f3 · outbound

This paper cites Prioritized Experience Replay.

Replay-buffer engineering for noise-robust quantum circuit optimization Prioritized Experience Replay

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:16:10.287184Z

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Observation 06563ff0-19af-4c4c-9297-bf206b963171 · outbound

This paper cites Pleiss, Tobias Sutter, and Maximilian Schiffer.

Replay-buffer engineering for noise-robust quantum circuit optimization Pleiss, Tobias Sutter, and Maximilian Schiffer

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.633404Z

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Observation 28c72c9f-e51a-454a-96fe-f654f1e67185 · outbound

This paper cites An adap- tive variational algorithm for exact molecular simulations on a quantum computer.Nature communications, 10(1):3007.

Replay-buffer engineering for noise-robust quantum circuit optimization An adap- tive variational algorithm for exact molecular simulations on a quantum computer.Nature communications, 10(1):3007

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.683952Z

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Observation bbeeb80b-7c29-4523-b284-cef588738470 · outbound

This paper cites Differentiable quantum architecture search.Quantum Science & Technology, 7(4):045023.

Replay-buffer engineering for noise-robust quantum circuit optimization Differentiable quantum architecture search.Quantum Science & Technology, 7(4):045023

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.641921Z

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Observation c49fcb59-113b-400b-a88c-1b519c67eaea · outbound

This paper cites Quantumdarts: differentiable quantum architecture search for variational quantum algorithms.

Replay-buffer engineering for noise-robust quantum circuit optimization Quantumdarts: differentiable quantum architecture search for variational quantum algorithms

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.579158Z

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Observation be6f1e1a-d8e3-4426-af5a-d1043a64a65e · outbound

This paper cites An innovative genetic algorithm for the quantum cir- cuit compilation problem.

Replay-buffer engineering for noise-robust quantum circuit optimization An innovative genetic algorithm for the quantum cir- cuit compilation problem

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.583068Z

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Observation 9b1c5d88-e1cf-42ff-bdd8-e718dbf811b9 · outbound

This paper cites GA4QCO: Genetic Algorithm for Quantum Circuit Optimization.

Replay-buffer engineering for noise-robust quantum circuit optimization GA4QCO: Genetic Algorithm for Quantum Circuit Optimization

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Resolution: verified exact; arxiv_id, observed 2026-05-11T14:16:11.330390Z

Source-reported events for the cited work

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Observation 42046471-f4d3-4784-b7c7-22c46d685c20 · outbound

This paper cites Physics-informed bayesian optimization of variational quantum circuits.Advances in Neural Information Pro- cessing Systems, 36:18341–18376.

Replay-buffer engineering for noise-robust quantum circuit optimization Physics-informed bayesian optimization of variational quantum circuits.Advances in Neural Information Pro- cessing Systems, 36:18341–18376

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.545628Z

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Observation 03115e90-0979-4f67-9742-0a39e6980235 · outbound

This paper cites Automated quantum circuit design with nested monte carlo tree search.IEEE Trans- actions on Quantum Engineering, 4:1–20.

Replay-buffer engineering for noise-robust quantum circuit optimization Automated quantum circuit design with nested monte carlo tree search.IEEE Trans- actions on Quantum Engineering, 4:1–20

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.666493Z

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Observation 436b726c-cb95-4637-bcc5-2a2f9b7a20fd · outbound

This paper cites Neural predictor based quantum architecture search.Machine Learning: Science and Technology, 2(4):045027.

Replay-buffer engineering for noise-robust quantum circuit optimization Neural predictor based quantum architecture search.Machine Learning: Science and Technology, 2(4):045027

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.522025Z

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Observation ba08b9c2-48f5-4258-acc0-a32b6bad3359 · outbound

This paper cites Quantum circuit architecture search for variational quantum algorithms.npj Quantum Information, 8(1):62.

Replay-buffer engineering for noise-robust quantum circuit optimization Quantum circuit architecture search for variational quantum algorithms.npj Quantum Information, 8(1):62

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.679853Z

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Observation 8ad1fb88-ec4f-4cc8-acb5-007c71c418bf · outbound

This paper cites Quantum circuit optimization with deep reinforcement learning.

Replay-buffer engineering for noise-robust quantum circuit optimization Quantum circuit optimization with deep reinforcement learning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:16:11.399340Z

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Observation 7a65b374-a16b-46a1-a1c0-c2109cb247ac · outbound

This paper cites Quantum Architecture Search via Deep Reinforcement Learning.

Replay-buffer engineering for noise-robust quantum circuit optimization Quantum Architecture Search via Deep Reinforcement Learning

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:16:10.829382Z

Source-reported events for the cited work

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Observation 6548eac3-93ef-487b-a8e7-afc147d3e284 · outbound

This paper cites Kanqas: Kolmogorov-arnold network for quantum architecture search.EPJ Quantum Technology, 11(1):76.

Replay-buffer engineering for noise-robust quantum circuit optimization Kanqas: Kolmogorov-arnold network for quantum architecture search.EPJ Quantum Technology, 11(1):76

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.587090Z

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Observation 9578b528-b2c6-4a90-8c13-a9601b4ebbab · outbound

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

Replay-buffer engineering for noise-robust quantum circuit optimization Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning

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Resolution: verified exact; arxiv_id, observed 2026-05-11T14:16:10.728342Z

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Observation cf85e804-b47d-4493-9ec3-ad6595706bff · outbound

This paper cites Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware.Communications Physics.

Replay-buffer engineering for noise-robust quantum circuit optimization Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware.Communications Physics

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.507346Z

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Observation fb730fdd-62fa-47e8-a31c-7702a3e30b36 · outbound

This paper cites awesome-QAS: A curated list of resources for quantum architecture search, June 2025.

Replay-buffer engineering for noise-robust quantum circuit optimization awesome-QAS: A curated list of resources for quantum architecture search, June 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.600708Z

Source-reported events for the cited work

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Observation 5c5fab0f-b927-4fe6-821f-f701ca3a00db · outbound

This paper cites Hindsight experi- ence replay.Advances in neural information processing systems, 30.

Replay-buffer engineering for noise-robust quantum circuit optimization Hindsight experi- ence replay.Advances in neural information processing systems, 30

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.629406Z

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.

Observation d283ef62-1cfc-4590-b604-eec45dddae64 · outbound

This paper cites Cross-domain adaptive trans- fer reinforcement learning based on state-action correspondence.

Replay-buffer engineering for noise-robust quantum circuit optimization Cross-domain adaptive trans- fer reinforcement learning based on state-action correspondence

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.531695Z

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.

Observation c653672c-0ad9-4c1c-b7a9-c7d0105911c3 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Replay-buffer engineering for noise-robust quantum circuit optimization Proximal Policy Optimization Algorithms

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-11T14:16:11.135478Z

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.

Observation e9f19289-f44a-41ae-ab80-6a19c0c72e48 · outbound

This paper cites Efficient discrete approximations of quantum gates.Journal of Mathematical Physics, 43(9):4445–4451.

Replay-buffer engineering for noise-robust quantum circuit optimization Efficient discrete approximations of quantum gates.Journal of Mathematical Physics, 43(9):4445–4451

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.710872Z

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.

Observation 83f946d7-59ed-45c4-bd2c-d27a30f7dece · outbound

This paper cites Gradient-based optimization for quantum architecture search.Neural Networks, 179:106508.

Replay-buffer engineering for noise-robust quantum circuit optimization Gradient-based optimization for quantum architecture search.Neural Networks, 179:106508

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.662617Z

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.

Observation ea680efc-ef5b-4323-a3a5-6b3060347ce9 · outbound

This paper cites Training-free quan- tum architecture search.

Replay-buffer engineering for noise-robust quantum circuit optimization Training-free quan- tum architecture search

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.603953Z

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.

Observation 5c054d2d-4411-47b0-bb5e-affdc7fd8934 · outbound

This paper cites Qas-bench: rethinking quantum architecture search and a benchmark.

Replay-buffer engineering for noise-robust quantum circuit optimization Qas-bench: rethinking quantum architecture search and a benchmark

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.541239Z

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.

Observation 983c9899-fc63-48a6-b92d-a8a3acc9a280 · outbound

This paper cites Benchrl-qas: Benchmarking reinforcement learning algorithms for quantum architecture search.

Replay-buffer engineering for noise-robust quantum circuit optimization Benchrl-qas: Benchmarking reinforcement learning algorithms for quantum architecture search

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.646155Z

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.

Observation b4346fb7-0b76-4df0-97a4-c7b036540859 · outbound

This paper cites Transfer learning for reinforcement learning domains: A survey.Journal of Machine Learning Research, 10(7).

Replay-buffer engineering for noise-robust quantum circuit optimization Transfer learning for reinforcement learning domains: A survey.Journal of Machine Learning Research, 10(7)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.671771Z

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.

Observation aa76e636-559b-4fe7-b4de-a32c9dcefdf0 · outbound

This paper cites One-Step Bellman Alignment Enables Provably Efficient Transfer in Online RL.

Replay-buffer engineering for noise-robust quantum circuit optimization One-Step Bellman Alignment Enables Provably Efficient Transfer in Online RL

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-26T02:03:08.693345Z

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.

Observation 846606e3-da43-46a0-9da3-4d1f94647727 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Replay-buffer engineering for noise-robust quantum circuit optimization Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:29:49.696310Z

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.

Observation f88bd88c-b848-4746-8066-dcdcd7fe4b9c · outbound

This paper cites Prioritized generative replay.

Replay-buffer engineering for noise-robust quantum circuit optimization Prioritized generative replay

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.692124Z

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.

Observation 463dd6d0-ad12-4c3b-b5d5-aaf64617e09c · outbound

This paper cites Quantum circuit optimization with alphatensor.Nature Machine Intelligence, 7(3):374–385.

Replay-buffer engineering for noise-robust quantum circuit optimization Quantum circuit optimization with alphatensor.Nature Machine Intelligence, 7(3):374–385

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.675642Z

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.

Observation 8a0c5160-777c-42f7-a28f-ab38ad006fea · outbound

This paper cites Deep exploration via bootstrapped dqn.Advances in neural information processing systems, 29.

Replay-buffer engineering for noise-robust quantum circuit optimization Deep exploration via bootstrapped dqn.Advances in neural information processing systems, 29

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.526547Z

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.

Observation 4fae65e4-9d5c-4cbd-b76c-b37168cd4ba6 · outbound

This paper cites A direct search optimization method that models the objective and con- straint functions by linear interpolation.

Replay-buffer engineering for noise-robust quantum circuit optimization A direct search optimization method that models the objective and con- straint functions by linear interpolation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T14:58:05.695897Z

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.

Observation aac10c09-fc4b-49ad-a218-70b5487d18e7 · outbound

This paper cites an unresolved cited work.

Replay-buffer engineering for noise-robust quantum circuit optimization Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-05-23T14:58:05.699480Z

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.

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