Results 81 to 90 of about 4,386 (222)
, 2016 We study a variant of the quantum approximate optimization algorithm [ E. Farhi, J. Goldstone, and S. Gutmann, arXiv:1411.4028] with slightly different parametrization and different objective: rather than looking for a state which approximately solves an
Hastings, M. B., Troyer, M., Wecker, D.
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Dynamic programming in economics on a quantum annealer
Quantitative Economics, Volume 17, Issue 1, Page 1-37, January 2026.We introduce novel algorithms for solving dynamic programming problems in economics on a quantum annealer, a specialized quantum computer used for combinatorial optimization. Quantum annealers begin in a superposition of all states and generate candidate global solutions in milliseconds, regardless of problem size.
Jesús Fernández‐Villaverde +1 more
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Solving Boolean Satisfiability Problems With The Quantum Approximate Optimization Algorithm
PRX QuantumOne of the most prominent application areas for quantum computers is solving hard constraint satisfaction and optimization problems. However, detailed analyses of the complexity of standard quantum algorithms have suggested that outperforming classical ...
Sami Boulebnane, Ashley Montanaro
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Characterizing local noise in QAOA circuits
IOP SciNotes, 2020 Abstract Recently Xue et al (2019 arXiv:1909.02196) demonstrated numerically that QAOA performance varies as a power law in the amount of noise under certain physical noise models. In this short note, we provide a deeper analysis of the origin of this behavior.
Jeffrey Marshall +3 more
openaire +2 more sources
FUTURES &FORESIGHT SCIENCE, Volume 7, Issue 3, December 2025.ABSTRACT Quantum technologies, driven by principles of quantum mechanics like superposition and entanglement, have shown transformative potential in drug discovery, medical diagnosis, precision medicine, and other therapeutic interventions. However, the research on emerging quantum technologies at early to late stages of development for healthcare ...
Oshin Sharma +4 more
wiley +1 more source
Physical Review X, 2020 The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical variational algorithm designed to tackle combinatorial optimization problems.
Leo Zhou +4 more
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Quantum approximate optimization algorithm with adaptive bias fields
Physical Review Research, 2022 The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wave function into one that encodes a solution to a difficult classical optimization problem.
Yunlong Yu +5 more
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Short Block-length Channel Coded Modulation with Random Linear Codes and QAOA Decoding [PDF]
, 2023 Burhan Gülbahar
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Nanophotonics, Volume 14, Issue 23, Page 3761-3793, 02 November 2025.Abstract Photonic device development (PDD) has achieved remarkable success in designing and implementing new devices for controlling light across various wavelengths, scales, and applications, including telecommunications, imaging, sensing, and quantum information processing.
Yuheng Chen +18 more
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Quantum Approximation for Wireless Scheduling
Applied Sciences, 2020 This paper proposes an application algorithm based on a quantum approximate optimization algorithm (QAOA) for wireless scheduling problems. QAOA is one of the promising hybrid quantum-classical algorithms to solve combinatorial optimization problems and ...
Jaeho Choi, Seunghyeok Oh, Joongheon Kim
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