Noise Robustness of Quantum Relaxation for Combinatorial Optimization

Noise Robustness of Quantum Relaxation for Combinatorial Optimization

Relaxation is a common way for dealing with combinatorial optimization problems. Quantum random-access optimization (QRAO) is a quantum-relaxation-based optimizer that uses fewer qubits than the number of bits in the original problem by encoding multiple variables per qubit using quantum random-acce...

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Bibliographic Details
Main Authors: Kentaro Tamura, Yohichi Suzuki, Rudy Raymond, C. Hiroshi Watanabe, Yuki Sato, Ruho Kondo, Michihiko Sugawara, Naoki Yamamoto
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Combinatorial optimization
depolarizing noise
quantum random-access code (QRAC)
quantum relaxation
Online Access:https://ieeexplore.ieee.org/document/10623712/
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