Results 1 to 10 of about 1,233,076 (253)
Parallel quantum annealing [PDF]
Scientific Reports, 2022 Quantum annealers of D-Wave Systems, Inc., offer an efficient way to compute high quality solutions of NP-hard problems. This is done by mapping a problem onto the physical qubits of the quantum chip, from which a solution is obtained after quantum ...
Elijah Pelofske +2 more
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Optimization of Quantum Computing Models Inspired by D-Wave Quantum Annealing
Tsinghua Science and Technology, 2020 With the slow progress of universal quantum computers, studies on the feasibility of optimization by a dedicated and quantum-annealing-based annealer are important.
Baonan Wang, Feng Hu, Chao Wang
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Nonnegative/Binary matrix factorization for image classification using quantum annealing [PDF]
Scientific Reports, 2023 Classical computing has borne witness to the development of machine learning. The integration of quantum technology into this mix will lead to unimaginable benefits and be regarded as a giant leap forward in mankind’s ability to compute.
Hinako Asaoka, Kazue Kudo
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Solving the resource constrained project scheduling problem with quantum annealing [PDF]
Scientific ReportsQuantum annealing emerges as a promising approach for tackling complex scheduling problems such as the resource-constrained project scheduling problem (RCPSP). This study represents the first application of quantum annealing to solve the RCPSP, analyzing
Luis Fernando Pérez Armas +2 more
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Optimization of connection patterns between mobile phones and base stations using quantum annealing [PDF]
Scientific ReportsIn current mobile networks, optimizing which base station a mobile phone in a particular area connects to is crucial for ensuring good communication quality for each mobile phone but presents a challenging combinatorial optimization problem.
Taisei Takabayashi +4 more
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Quantum annealing of a frustrated magnet [PDF]
Nature CommunicationsQuantum annealing, which involves quantum tunnelling among possible solutions, has state-of-the-art applications not only in quickly finding the lowest-energy configuration of a complex system, but also in quantum computing.
Yuqian Zhao +6 more
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A quantum annealing approach to solve max-cover problem
Tạp chí Khoa học, 2022 The Max-Cover is a NP-hard problem. Therefore, the heuristic approach is suitable to solve this problem for large instances. Quantum annealing is a heuristic quantum optimization algorithm that can be used to handle the Max-Cover problem.
NGUYEN Thi Uyen +3 more
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Reverse annealing for nonnegative/binary matrix factorization.
PLoS ONE, 2021 It was recently shown that quantum annealing can be used as an effective, fast subroutine in certain types of matrix factorization algorithms. The quantum annealing algorithm performed best for quick, approximate answers, but performance rapidly ...
John Golden, Daniel O'Malley
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IEEE Access, 2023 Simulated Quantum Annealing (SQA) is a heuristic algorithm which can solve Quadratic Unconstrained Binary Optimization (QUBO) problems by emulating the exploration of the solution space done by a quantum annealer.
Deborah Volpe +3 more
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The quantum annealing gap and quench dynamics in the exact cover problem [PDF]
Quantum, 2022 Quenching and annealing are extreme opposites in the time evolution of a quantum system: Annealing explores equilibrium phases of a Hamiltonian with slowly changing parameters and can be exploited as a tool for solving complex optimization problems.
Bernhard Irsigler, Tobias Grass
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