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Paper Citation Record · LEDGER

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates

As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 5 inbound Pith citation observations for arXiv:2512.09586.

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

pith.paper-citation-record.v1
2512.09586 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:29:15.338387Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:31:25.911842Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T06:01:09.156997Z

Reference resolution

56 of 56 outbound references displayed

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  • verified fuzzy0
  • unresolved55
  • parse uncertain0
  • malformed identifier1
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External citation measurements

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Outbound references

Observation 3853bd0c-7dcf-4f2f-bf8f-9376d50db97c · outbound

This paper cites E., Innan, N., Shafiqe, M., and Bennai, M.Comparative performance analysis of quantum machine learning architectures for credit card fraud detection.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates E., Innan, N., Shafiqe, M., and Bennai, M.Comparative performance analysis of quantum machine learning architectures for credit card fraud detection

Reference 1

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Observation 9413de1a-22b1-4888-857b-01f23ed42eda · outbound

This paper cites InProceedings of the 35th International Conference on Machine Learning (10–15 Jul 2018), J.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates InProceedings of the 35th International Conference on Machine Learning (10–15 Jul 2018), J

Reference 2

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Observation 93a978f8-75f9-4119-afd7-85452738a042 · outbound

This paper cites an unresolved cited work.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 3

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Observation dba70a0e-e786-45bf-b352-cdfef26d6202 · outbound

This paper cites M., and de Freitas, N.A tutorial on bayesian optimiza- tion of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning, 2010.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates M., and de Freitas, N.A tutorial on bayesian optimiza- tion of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning, 2010

Reference 4

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Observation 6563186a-1e40-4007-8653-37144414d22f · outbound

This paper cites C., Endo, S., Fujii, K., McClean, J.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates C., Endo, S., Fujii, K., McClean, J

Reference 5

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Observation e1fce879-a7a5-433e-9334-cc6741e59ff8 · outbound

This paper cites Y.-C., Yang, C.-H.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Y.-C., Yang, C.-H

Reference 6

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Observation 657c5c5a-44a3-4321-8cc4-4a68062770ee · outbound

This paper cites M., Schoute, E., and Ünsal, C.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates M., Schoute, E., and Ünsal, C

Reference 7

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Observation 69eaef91-45cd-4432-b461-22087f17db1b · outbound

This paper cites T., and Somani, A.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates T., and Somani, A

Reference 8

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Observation d34588c4-7ad4-4f89-a8a6-f1b7a95a3d79 · outbound

This paper cites HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 9

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Observation 76a299de-ad15-4963-887a-217b2073f212 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 10

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Observation fd3b9e18-c6f4-47b5-99fd-9621224f3b58 · outbound

This paper cites an unresolved cited work.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 11

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Observation 7b3b7636-fc89-42ca-ab28-4c1328db3317 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 12

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Observation 3d041b5a-6741-4fe4-a03d-c8e439e35d83 · outbound

This paper cites B., and Shafiqe, M.Qas-qtns: Curriculum reinforcement learning-driven quantum architecture search for quantum tensor networks.arXiv preprint arXiv:2507.12013(2025).

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates B., and Shafiqe, M.Qas-qtns: Curriculum reinforcement learning-driven quantum architecture search for quantum tensor networks.arXiv preprint arXiv:2507.12013(2025)

Reference 13

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Observation 48441e7a-ae4f-4d6a-a6ad-09f764bbf135 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 14

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Observation c79cb632-422a-4e52-b5b4-441a2e3cda5a · outbound

This paper cites 2021), 422.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates 2021), 422

Reference 15

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Observation e2f41d8f-34bf-4c50-a702-f86f5acdac20 · outbound

This paper cites InProceedings of The 33rd International Conference on Machine Learning(New York, New York, USA, 20–22 Jun 2016), M.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates InProceedings of The 33rd International Conference on Machine Learning(New York, New York, USA, 20–22 Jun 2016), M

Reference 16

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Observation 56ae1b67-3250-4fb4-84c6-9f42338e2f47 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 17

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Observation 890e1de7-e81f-4d81-ad8c-834f795e4ba3 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 18

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Observation 7f3a0569-7e83-44d6-a80e-c6bf48caf182 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 19

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Observation ddb91e63-ab6b-4256-a769-77c3d17269ec · outbound

This paper cites Accessed: 2025-10-28.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Accessed: 2025-10-28

Reference 20

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Observation fcad4a8e-8979-47c5-a5b6-1087c7e59e75 · outbound

This paper cites Accessed: 2025- 10-28.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Accessed: 2025- 10-28

Reference 21

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Observation 135e57fe-cd70-4de1-885c-672c0c80584a · outbound

This paper cites K., Al-Kuwari, S., and Farouk, A.Qnn-vrcs: A quan- tum neural network for vehicle road cooperation systems.IEEE Transactions on Intelligent Transportation Systems(2025).

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates K., Al-Kuwari, S., and Farouk, A.Qnn-vrcs: A quan- tum neural network for vehicle road cooperation systems.IEEE Transactions on Intelligent Transportation Systems(2025)

Reference 22

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Observation 7fc5470b-8acb-4373-9ca8-24a5bb093901 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 23

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Observation fed99ffb-f124-4a86-af50-d7128870f66e · outbound

This paper cites In2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS)(2025), IEEE, pp.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates In2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS)(2025), IEEE, pp

Reference 24

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Observation b4446139-fd60-41f7-99a7-988a04540779 · outbound

This paper cites A.-Z., and Bennai, M.Financial fraud detection: a com- parative study of quantum machine learning models.International Journal of Quantum Information 22, 02 (2024), 2350044.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates A.-Z., and Bennai, M.Financial fraud detection: a com- parative study of quantum machine learning models.International Journal of Quantum Information 22, 02 (2024), 2350044

Reference 25

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Observation 56ff10f7-70cd-4844-9fb0-5763655f7852 · outbound

This paper cites A.-Z., and Bennai, M.Quantum computing for electronic structure analysis: Ground state energy and molecular properties calculations.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates A.-Z., and Bennai, M.Quantum computing for electronic structure analysis: Ground state energy and molecular properties calculations

Reference 26

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Observation e522a145-7ea0-469d-8a90-b1afad5003a1 · outbound

This paper cites A.-Z., Panda, B., and Bennai, M.Enhancing quantum sup- port vector machines through variational kernel training.Quantum Information Processing 22, 10 (2023), 374.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates A.-Z., Panda, B., and Bennai, M.Enhancing quantum sup- port vector machines through variational kernel training.Quantum Information Processing 22, 10 (2023), 374

Reference 27

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Observation cfc3b454-9b05-4546-9434-fe7cf7b9bd14 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 28

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Observation 0364e4af-32aa-42be-b64c-5748bd845461 · outbound

This paper cites I., Arora, S., Ghosh, T., Koçak, Y.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates I., Arora, S., Ghosh, T., Koçak, Y

Reference 29

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Observation a3a93d60-3f5e-485f-89e3-c810dde6a18d · outbound

This paper cites CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection

Reference 30

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Observation 952593c8-c49c-4a39-a340-31453fb9db11 · outbound

This paper cites R., Schonlau, M., and Welch, W.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates R., Schonlau, M., and Welch, W

Reference 31

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Observation a781be29-650c-4420-aa7c-a1a8c6c60e16 · outbound

This paper cites T., Rana, S., Gupta, S., and Venkatesh, S.Batch bayesian optimization using multi-scale search.Knowledge-Based Systems 187(2020), 104818.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates T., Rana, S., Gupta, S., and Venkatesh, S.Batch bayesian optimization using multi-scale search.Knowledge-Based Systems 187(2020), 104818

Reference 32

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Observation 7b4bf44b-b2ac-4779-ad4f-90593274be59 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 33

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Observation 3f6b2d33-f429-4c71-9d0a-852ff57db007 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 34

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Observation a0b12da0-082a-40f5-8c13-a991faed8abb · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

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Observation 26d95253-2128-40ea-8d0c-c3f1d174e4db · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 36

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Observation c565ab34-e972-466c-b437-6f46a9f5644c · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

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Observation 3ea283af-a188-469a-9ad1-bd90a6e8e58f · outbound

This paper cites In2024 IEEE International Conference on Quantum Computing and Engineering (QCE)(2024), vol.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates In2024 IEEE International Conference on Quantum Computing and Engineering (QCE)(2024), vol

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Observation 5272465a-578f-41fb-b5ed-b060ce63ad0b · outbound

This paper cites P.Nf-ton-iot-v2.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates P.Nf-ton-iot-v2

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This paper cites In 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)(2019), pp.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates In 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)(2019), pp

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Observation be408876-a7d8-4f7d-bc3b-1516cfeb0366 · outbound

This paper cites In2024 International Conference on Quantum Communications, Networking, and Computing (QCNC) (2024), IEEE, pp.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates In2024 International Conference on Quantum Communications, Networking, and Computing (QCNC) (2024), IEEE, pp

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Observation 5b1aa735-ae0b-4546-b1c1-b57f261c36f3 · outbound

This paper cites A beam search framework for quantum circuit mapping.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates A beam search framework for quantum circuit mapping

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Observation 3552d182-3416-4599-a3c9-83d1af45a133 · outbound

This paper cites D., Groves, R.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates D., Groves, R

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Observation 01a9f84b-e0d8-4f35-b850-1518ab64336c · outbound

This paper cites J., Stevens, J., Li, J., Parasram, M., Damani, F., Alvarado, J.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates J., Stevens, J., Li, J., Parasram, M., Damani, F., Alvarado, J

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Observation 37d87206-1a99-4b14-a309-fe4a92f7f2f0 · outbound

This paper cites an unresolved cited work.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 45

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Observation 282b1e96-151e-4c41-8b98-10d21da513e0 · outbound

This paper cites D., and Aspuru-Guzik, A.Expressibility and entangling capa- bility of parameterized quantum circuits for hybrid quantum-classical algorithms.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates D., and Aspuru-Guzik, A.Expressibility and entangling capa- bility of parameterized quantum circuits for hybrid quantum-classical algorithms

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Observation e5254d64-f280-416f-9076-c767ad81c2cc · outbound

This paper cites P.Practical bayesian optimization of machine learning algorithms, 2012.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates P.Practical bayesian optimization of machine learning algorithms, 2012

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Observation 99bedbdb-440a-4e01-bfd7-e7924d68a3a1 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 48

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Observation 0427b1d1-95e1-4f4a-aea4-755f338769f7 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 49

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Observation d3f16312-fb66-4c2f-80fb-8d590bc6fa21 · outbound

This paper cites Z., Chong, F.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Z., Chong, F

Reference 50

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Observation 582b4680-395e-402d-a9ce-ad6c634b983c · outbound

This paper cites InProceedings of the 40th International Conference on Machine Learning(23–29 Jul 2023), A.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates InProceedings of the 40th International Conference on Machine Learning(23–29 Jul 2023), A

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Observation 64defe66-834d-4c32-96f5-964c2ccd6879 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 52

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Observation 4291616a-8ba2-43fc-a782-2b6969618662 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 53

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Observation 4fbce7ba-b320-419e-9e47-9aff92279dba · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 54

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Observation b3ec0dcd-f1f8-43e2-8f39-e1ed5ca74c28 · outbound

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Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates Unresolved cited work

Reference 55

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Observation 2b9e367e-9428-43e5-aff4-ae0e4ec0b632 · outbound

This paper cites M., Benedetti, M., Landsman, K.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates M., Benedetti, M., Landsman, K

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Pith citing papers

Observation 3785fde7-d21a-4dbf-b355-778727045217 · inbound

GAT-QNN: Genetic Algorithm-Based Training of Hybrid Quantum Neural Networks cites this paper.

GAT-QNN: Genetic Algorithm-Based Training of Hybrid Quantum Neural Networks Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates

Reference 55

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Observation 457cf417-6e41-4023-a567-31035723fd10 · inbound

Hybrid Quantum-Classical Neural Architecture Search cites this paper.

Hybrid Quantum-Classical Neural Architecture Search Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates

Reference 56

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source=pdf_text observed=2026-05-20T11:36:33.634850Z digest=sha256:63dd9c2b8e80c332fccd2064548791a12b4aaf328f4c3c5a3c2e600f6ac25b55

Observation a381e2ae-aa28-433c-a62f-ebe294af1715 · inbound

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices cites this paper.

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates

Reference 21

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Observation 601b15a0-015f-40c7-ab92-692feb5c9a05 · inbound

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices cites this paper.

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates

Reference 18

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Observation 8ad200cb-1bc0-4949-b471-d25128bb624c · inbound

MDQEC-QAS: Meta-Decoding for Quantum Error Correction with Hardware-Aware VQC Search and Confidence-Gated Recovery cites this paper.

MDQEC-QAS: Meta-Decoding for Quantum Error Correction with Hardware-Aware VQC Search and Confidence-Gated Recovery Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates

Reference 25

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source=pdf_text observed=2026-07-14T09:52:21.301048Z digest=sha256:34e302cc40611acdd180fe8f38ed479279b97fd4b348b7619336df7a401edda3