Results 11 to 20 of about 178 (50)
Nature Communications, 2021 Experimental demonstration of quantum speedup that scales with the system size is the goal of near-term quantum computing. Here, the authors demonstrate such scaling advantage for a D-Wave quantum annealer over analogous classical algorithms in ...
Andrew D. King +53 more
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Computing molecular excited states on a D-Wave quantum annealer
Scientific Reports, 2021 The possibility of using quantum computers for electronic structure calculations has opened up a promising avenue for computational chemistry. Towards this direction, numerous algorithmic advances have been made in the last five years.
Alexander Teplukhin +8 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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A Symbolic Approach to Discrete Structural Optimization Using Quantum Annealing
Mathematics, 2023 With the advent of novel quantum computing technologies and the new possibilities thereby offered, a prime opportunity has presented itself to investigate the practical application of quantum computing.
Kevin Wils, Boyang Chen
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npj Quantum Information, 2022 A finite length ferromagnetic chain with opposite spin polarization imposed at its two ends is one of the simplest frustrated spin models. In the clean classical limit the domain wall inserted on account of the boundary conditions resides with equal ...
Nicholas Chancellor +7 more
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Evaluation of Quantum Annealer Performance via the Massive MIMO Problem
IEEE Access, 2021 Quantum annealing offers an appealing route to handle large-scale optimization problems. Existing Quantum Annealing processing units are readily available via cloud platform access for solving Quadratic Unconstrained Binary Optimization (QUBO) problems ...
Zsolt I. Tabi +5 more
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IEEE Transactions on Quantum Engineering, 2022 The focus of this work is to explore the use of quantum annealing solvers for the problem of phase unwrapping of synthetic aperture radar (SAR) images. Although solutions to this problem exist based on network programming, these techniques do not scale ...
Khaled A. Helal Kelany +3 more
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Early steps toward practical subsurface computations with quantum computing
Frontiers in Computer Science, 2023 Quantum computing exploits quantum mechanics to perform certain computations more efficiently than classical computers. Current quantum computers have performed carefully tailored computational tasks that would be difficult or impossible for even the ...
Sarah Greer +2 more
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Cooperative quantum information erasure [PDF]
Quantum, 2023 We demonstrate an information erasure protocol that resets $N$ qubits at once. The method displays exceptional performances in terms of energy cost (it operates nearly at Landauer energy cost $kT \ln 2$), time duration ($\sim \mu s$) and erasure success ...
Lorenzo Buffoni, Michele Campisi
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Dynamic Topology Reconfiguration of Boltzmann Machines on Quantum Annealers
Entropy, 2020 Boltzmann machines have useful roles in deep learning applications, such as generative data modeling, initializing weights for other types of networks, or extracting efficient representations from high-dimensional data.
Jeremy Liu +2 more
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