Results 11 to 20 of about 1,420,843 (208)
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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Quantum annealing with twisted fields [PDF]
, 2021 Quantum annealing is a promising method for solving combinational optimization problems and performing quantum chemical calculations. The main sources of errors in quantum annealing are the effects of decoherence and non-adiabatic transition.
Imoto, Takashi +3 more
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Spin relaxation and carrier recombination in GaInNAs multiple quantum wells [PDF]
, 2007 Electron spin relaxation and carrier recombination were investigated in gallium indium nitride arsenide (GaInNAs) multiple quantum wells, using picosecond optical pulses.
Reith, Charis
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Single-Qubit Fidelity Assessment of Quantum Annealing Hardware
IEEE Transactions on Quantum Engineering, 2021 As a wide variety of quantum computing platforms become available, methods for assessing and comparing the performance of these devices are of increasing interest and importance.
Jon Nelson +3 more
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Learning-Driven Annealing with Adaptive Hamiltonian Modification for Solving Large-Scale Problems on Quantum Devices [PDF]
QuantumWe present Learning-Driven Annealing (LDA), a framework that links individual quantum annealing evolutions into a global solution strategy to mitigate hardware constraints such as short annealing times and integrated control errors.
Sebastian Schulz +2 more
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Quantum Annealing and Computation [PDF]
, 2022 We introduce and review briefly the phenomenon of quantum annealing and analog computation. The role of quantum fluctuation (tunneling) in random systems with rugged (free) energy landscapes having macroscopic barriers are discussed to demonstrate the ...
Mukherjee, Sudip, Chakrabarti, Bikas K
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How to Solve Combinatorial Optimization Problems Using Real Quantum Machines: A Recent Survey
IEEE Access, 2022 A combinatorial optimization problem (COP) is the problem of finding the optimal solution in a finite set. When the size of the feasible solution set is large, the complexity of the problem increases, and it is not easy to solve in a reasonable time with
Sovanmonynuth Heng +3 more
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Travel time optimization on multi-AGV routing by reverse annealing
Scientific Reports, 2022 Quantum annealing has been actively researched since D-Wave Systems produced the first commercial machine in 2011. Controlling a large fleet of automated guided vehicles is one of the real-world applications utilizing quantum annealing. In this study, we
Renichiro Haba +2 more
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Hybrid Optimization Method Using Simulated-Annealing-Based Ising Machine and Quantum Annealer [PDF]
, 2023 Ising machines have the potential to realize fast and highly accurate solvers for combinatorial optimization problems. They are classified based on their internal algorithms.
Kikuchi, Shuta +2 more
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Expanding the scope of quantum annealing applicability
AIP Advances, 2023 With the emergence of D-wave’s quantum annealing machine, the power of quantum computing has become tangible, and the development of quantum computers is accelerating rapidly.
Hiroshi Isshiki, Koki Asari
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