Suchergebnisse - Recursive quantum approximate optimization algorithms

Symmetry-informed transferability of optimal parameters in the quantum approximate optimization algorithm

Autoren: Lyngfelt, Isak Garcia Alvarez, Laura

Quelle: Physical Review A. 111(2)

Schlagwörter: Optimization problems, Quantum algorithms, Adiabatic quantum optimization

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/545281
https://research.chalmers.se/publication/545281/file/545281_Fulltext.pdf

Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms

Autoren: Shuaiqun Pan Yash J. Patel Aneta Neumann et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference. :443-452

Schlagwörter: FOS: Computer and information sciences, Quantum Physics, Emerging Technologies (cs.ET), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Emerging Technologies, Computer Science - Neural and Evolutionary Computing, FOS: Physical sciences, Neural and Evolutionary Computing (cs.NE), Quantum Physics (quant-ph)

Zugangs-URL: http://arxiv.org/abs/2502.12012

A Reduced Complexity Method of Recursive Quantum Approximate Optimization Algorithm

Autoren: Youngjin Seo Jun Heo

Quelle: 2023 14th International Conference on Information and Communication Technology Convergence (ICTC). :523-525

Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms

Autoren: Pan, Shuaiqun Patel, Yash J. Neumann, Aneta et al.

Index Begriffe: Computer Science - Emerging Technologies, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Quantum Physics, text

URL: http://arxiv.org/abs/2502.12012

Benchmarking the recursive quantum approximate optimization algorithm

Autoren: Paige Frederick Rich Rines Frederic T. Chong et al.

Quelle: Quantum Computing, Communication, and Simulation III. :28

Exploring Beamforming Solutions Using Recursive Quantum Approximate Optimization Algorithm

Autoren: Dhara, Bidisha Agrawal, Monika Roy, Sumantra Dutta

Quelle: 2025 IEEE International Conference on Quantum Computing and Engineering (QCE) ; page 31-35

Verfügbarkeit: https://doi.org/10.1109/qce65121.2025.00014
http://xplorestaging.ieee.org/ielx8/11249812/11249813/11249844.pdf?arnumber=11249844

Quantum Algorithms for Combinatorial Optimization

Additional Titles: Quantenalgorithmen für kombinatorische Optimierung

Autoren: König, Robert (Prof. Dr.) König, Robert (Prof. Dr.);Kueng, Richard (Prof. Dr.) Kliesch, Alexander

Index Begriffe: info:eu-repo/classification/ddc/510, Mathematik, info:eu-repo/classification/ddc/530, Physik, thesis, doc-type:doctoralThesis

URL: https://mediatum.ub.tum.de/1692178
https://mediatum.ub.tum.de/doc/1692178/document.pdf
http://nbn-resolving.de/urn:nbn:de:bvb:91-diss-20230719-1692178-1-4

Recursive QAOA outperforms the original QAOA for the MAX-CUT problem on complete graphs.

Autoren: Bae, Eunok Lee, Soojoon

Quelle: Quantum Information Processing. Mar2024, Vol. 23 Issue 3, p1-13. 13p.

Schlagwörter: *COMPLETE graphs, *OPTIMIZATION algorithms, *APPROXIMATION algorithms, *PROBLEM solving, *ALGORITHMS

Efficient algorithm for full-state quantum circuit simulation with DD compression while maintaining accuracy.

Autoren: Song, Yuhong Sha, Edwin Hsing-Mean Zhuge, Qingfeng et al.

Quelle: Quantum Information Processing. Nov2023, Vol. 22 Issue 11, p1-25. 25p.

Schlagwörter: *QUANTUM communication, *ALGORITHMS, *SHORT-term memory, *QUBITS, *QUANTUM wells, *COMPUTER simulation

Non-variational quantum random access optimization with alternating operator ansatz.

Autoren: He Z Raymond R Shaydulin R et al.

Quelle: Scientific reports [Sci Rep] 2025 Aug 09; Vol. 15 (1), pp. 29191. Date of Electronic Publication: 2025 Aug 09.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Hybrid quantum-classical algorithms for approximate graph coloring

Autoren: Sergey Bravyi Alexander Kliesch Robert Koenig et al.

Quelle: Quantum, Vol 6, p 678 (2022)

Schlagwörter: Physics, QC1-999

Dateibeschreibung: electronic resource

Relation: https://quantum-journal.org/papers/q-2022-03-30-678/pdf/; https://doaj.org/toc/2521-327X

Zugangs-URL: https://doaj.org/article/cf774512d7ef49079fbf1e8f7f9dcc4c

Quantum approximate multi-objective optimization.

Autoren: Kotil A Pelofske E Riedmüller S et al.

Quelle: Nature computational science [Nat Comput Sci] 2025 Oct 24. Date of Electronic Publication: 2025 Oct 24.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer Nature Country of Publication: United States NLM ID: 101775476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-8457 (Electronic) Linking ISSN: 26628457 NLM ISO Abbreviation: Nat Comput Sci Subsets: MEDLINE

Benchmarking the recursive quantum approximate optimization algorithm.

Autoren: Frederick, Paige Rines, Rich Chong, F. T. et al.

Quelle: Proceedings of SPIE; 2/18/2023, Vol. 12446, p1244609-1244609, 1p

Systematic study on the dependence of the warm-start quantum approximate optimization algorithm on approximate solutions.

Autoren: Okada, Ken N. Nishi, Hirofumi Kosugi, Taichi et al.

Quelle: Scientific Reports; 1/12/2024, Vol. 14 Issue 1, p1-15, 15p

Schlagwörter: OPTIMIZATION algorithms, QUANTUM computers, HAMMING distance, PROBLEM solving, ALGORITHMS, COMBINATORIAL optimization

Quantum approximate optimization via learning-based adaptive optimization.

Autoren: Cheng, Lixue Chen, Yu-Qin Zhang, Shi-Xin et al.

Quelle: Communications Physics; 3/6/2024, Vol. 7 Issue 1, p1-9, 9p

Schlagwörter: OPTIMIZATION algorithms, COMBINATORIAL optimization, QUANTUM noise, QUANTUM efficiency, HOPFIELD networks, PROOF of concept

Quantum-classical hybrid algorithm for solving the learning-with-errors problem on NISQ devices.

Autoren: Zheng, Muxi Zeng, Jinfeng Yang, Wentao et al.

Quelle: Communications Physics; 5/20/2025, Vol. 8, p1-8, 8p

Schlagwörter: COMPUTATIONAL learning theory, OPTIMIZATION algorithms, TIME complexity, HEURISTIC algorithms, QUANTUM theory, QUANTUM cryptography

Evaluating the practicality of quantum optimization algorithms for prototypical industrial applications.

Autoren: Vandelli, Matteo Lignarolo, Alessandra Cavazzoni, Carlo et al.

Quelle: Quantum Information Processing; Oct2024, Vol. 23 Issue 10, p1-23, 23p

Schlagwörter: OPTIMIZATION algorithms, CIRCUIT complexity, QUANTUM computing, PROBABILITY measures, COMBINATORIAL optimization

Multilevel Leapfrogging Initialization Strategy for Quantum Approximate Optimization Algorithm.

Autoren: Ni, Xiao‐Hui Cai, Bin‐Bin Liu, Hai‐Ling et al.

Quelle: Advanced Quantum Technologies; May2024, Vol. 7 Issue 5, p1-13, 13p

Schlagwörter: OPTIMIZATION algorithms, INTERPOLATION, GREEDY algorithms

A recursive lower bound on the energy improvement of the quantum approximate optimization algorithm

Autoren: Medina Ramos, Raimel A Serbyn, Maksym

Quelle: Medina Ramos RA, Serbyn M. A recursive lower bound on the energy improvement of the quantum approximate optimization algorithm. arXiv . doi: 10.48550/arXiv.2405.10125

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2405.10125

Verfügbarkeit: https://research-explorer.ista.ac.at/record/17222

An introduction to variational quantum algorithms for combinatorial optimization problems.

Autoren: Grange, Camille Poss, Michael Bourreau, Eric

Quelle: Annals of Operations Research; Dec2024, Vol. 343 Issue 2, p847-884, 38p

Schlagwörter: OPTIMIZATION algorithms, COMBINATORIAL optimization, METAHEURISTIC algorithms, PHYSICAL sciences, QUANTUM theory