Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization-Reference-Cited by-同舟云学术

Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization

Published:2024-05-07 Issue: Volume: Page:232-239
ISSN:
Container-title:Proceedings of the 21st ACM International Conference on Computing Frontiers
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Author:

Bertuzzi Amedeo¹^ORCID,Ferrari Davide¹^ORCID,Manzalini Antonio²^ORCID,Amoretti Michele¹^ORCID

Affiliation:

1. University of Parma, Parma, Italy

2. TIM - Telecom Italia, Turin, Italy

Funder

European Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3649153.3649205

Reference29 articles.

1. Amira Abbas Andris Ambainis Brandon Augustino Andreas Bärtschi Harry Buhrman Carleton Coffrin Giorgio Cortiana Vedran Dunjko Daniel J. Egger Bruce G. Elmegreen Nicola Franco Filippo Fratini Bryce Fuller Julien Gacon Constantin Gonciulea Sander Gribling Swati Gupta Stuart Hadfield Raoul Heese Gerhard Kircher Thomas Kleinert Thorsten Koch Georgios Korpas Steve Lenk Jakub Marecek Vanio Markov Guglielmo Mazzola Stefano Mensa Naeimeh Mohseni Giacomo Nannicini Corey O'Meara Elena Peña Tapia Sebastian Pokutta Manuel Proissl Patrick Rebentrost Emre Sahin Benjamin C. B. Symons Sabine Tornow Victor Valls Stefan Woerner Mira L. Wolf-Bauwens Jon Yard Sheir Yarkoni Dirk Zechiel Sergiy Zhuk and Christa Zoufal. 2023. Quantum Optimization: Potential Challenges and the Path Forward. arXiv:2312.02279 [quant-ph]

2. Michele Amoretti Davide Ferrari and Antonio Manzalini. 2022. Classical and Quantum Solvers for Joint Network/Servers Power Optimization. arXiv:2205.01165.

3. Evidence for quantum annealing with more than one hundred qubits

4. Beweis des Adiabatensatzes

5. Replication of Virtual Network Functions: Optimizing link utilization and resource costs