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| 001 | 619663 | ||
| 005 | 20241217214900.0 | ||
| 024 | 7 | _ | |a Nicoli:2024ddu |2 INSPIRETeX |
| 024 | 7 | _ | |a inspire:2796709 |2 inspire |
| 024 | 7 | _ | |a arXiv:2406.06150 |2 arXiv |
| 024 | 7 | _ | |a 10.3204/PUBDB-2024-07802 |2 datacite_doi |
| 037 | _ | _ | |a PUBDB-2024-07802 |
| 041 | _ | _ | |a English |
| 088 | _ | _ | |a arXiv:2406.06150 |2 arXiv |
| 100 | 1 | _ | |a Nicoli, Kim A. |0 P:(DE-HGF)0 |b 0 |
| 111 | 2 | _ | |a 37th Conference on Neural Information Processing Systems |g NeurIPS 2023 |c New Orleans |d 2023-12-10 - 2023-12-16 |w United States |
| 245 | _ | _ | |a Physics-Informed Bayesian Optimization of Variational Quantum Circuits |
| 260 | _ | _ | |c 2024 |
| 300 | _ | _ | |a 36 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1734429360_1526682 |2 PUB:(DE-HGF) |
| 500 | _ | _ | |a 36 pages, 17 figures, 37th Conference on Neural Information Processing Systems (NeurIPS 2023) |
| 520 | _ | _ | |a In this paper, we propose a novel and powerful method to harness Bayesian optimization for Variational Quantum Eigensolvers (VQEs) -- a hybrid quantum-classical protocol used to approximate the ground state of a quantum Hamiltonian. Specifically, we derive a VQE-kernel which incorporates important prior information about quantum circuits: the kernel feature map of the VQE-kernel exactly matches the known functional form of the VQE's objective function and thereby significantly reduces the posterior uncertainty. Moreover, we propose a novel acquisition function for Bayesian optimization called Expected Maximum Improvement over Confident Regions (EMICoRe) which can actively exploit the inductive bias of the VQE-kernel by treating regions with low predictive uncertainty as indirectly ``observed''. As a result, observations at as few as three points in the search domain are sufficient to determine the complete objective function along an entire one-dimensional subspace of the optimization landscape. Our numerical experiments demonstrate that our approach improves over state-of-the-art baselines. |
| 536 | _ | _ | |a 611 - Fundamental Particles and Forces (POF4-611) |0 G:(DE-HGF)POF4-611 |c POF4-611 |f POF IV |x 0 |
| 536 | _ | _ | |a QUEST - QUantum computing for Excellence in Science and Technology (101087126) |0 G:(EU-Grant)101087126 |c 101087126 |f HORIZON-WIDERA-2022-TALENTS-01 |x 1 |
| 588 | _ | _ | |a Dataset connected to INSPIRE |
| 650 | _ | 7 | |a optimization: variational |2 INSPIRE |
| 650 | _ | 7 | |a dimension: 1 |2 INSPIRE |
| 650 | _ | 7 | |a quantum circuit: variational |2 INSPIRE |
| 650 | _ | 7 | |a variational quantum eigensolver |2 INSPIRE |
| 650 | _ | 7 | |a Bayesian |2 INSPIRE |
| 650 | _ | 7 | |a Hamiltonian |2 INSPIRE |
| 650 | _ | 7 | |a ground state |2 INSPIRE |
| 650 | _ | 7 | |a hybrid |2 INSPIRE |
| 650 | _ | 7 | |a landscape |2 INSPIRE |
| 693 | _ | _ | |0 EXP:(DE-MLZ)NOSPEC-20140101 |5 EXP:(DE-MLZ)NOSPEC-20140101 |e No specific instrument |x 0 |
| 700 | 1 | _ | |a Anders, Christopher J. |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Funcke, Lena |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Hartung, Tobias |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Jansen, Karl |0 P:(DE-H253)PIP1003636 |b 4 |u desy |
| 700 | 1 | _ | |a Kühn, Stefan |0 P:(DE-H253)PIP1086314 |b 5 |e Corresponding author |u desy |
| 700 | 1 | _ | |a Müller, Klaus-Robert |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Stornati, Paolo |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Kessel, Pan |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Nakajima, Shinichi |0 P:(DE-HGF)0 |b 9 |
| 856 | 4 | _ | |y OpenAccess |u https://bib-pubdb1.desy.de/record/619663/files/2406.06150v1.pdf |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://bib-pubdb1.desy.de/record/619663/files/2406.06150v1.pdf?subformat=pdfa |
| 909 | C | O | |o oai:bib-pubdb1.desy.de:619663 |p openaire |p open_access |p driver |p VDB |p ec_fundedresources |p dnbdelivery |
| 910 | 1 | _ | |a Deutsches Elektronen-Synchrotron |0 I:(DE-588b)2008985-5 |k DESY |b 4 |6 P:(DE-H253)PIP1003636 |
| 910 | 1 | _ | |a Deutsches Elektronen-Synchrotron |0 I:(DE-588b)2008985-5 |k DESY |b 5 |6 P:(DE-H253)PIP1086314 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Materie |l Matter and the Universe |1 G:(DE-HGF)POF4-610 |0 G:(DE-HGF)POF4-611 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-600 |4 G:(DE-HGF)POF |v Fundamental Particles and Forces |x 0 |
| 914 | 1 | _ | |y 2024 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 920 | 1 | _ | |0 I:(DE-H253)CQTA-20221102 |k CQTA |l Centre f. Quantum Techno. a. Application |x 0 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-H253)CQTA-20221102 |
| 980 | 1 | _ | |a FullTexts |
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