80 citations · 131 across the 4 of their papers we have counts for
5 papers
Quantum-Assisted Genetic Algorithm
James King, Masoud Mohseni, William Bernoudy +5
Genetic algorithms, which mimic evolutionary processes to solve optimization problems, can be enhanced by using powerful semi-local search algorithms as mutation operators. Here, w…
Comment on "Scaling advantages of all-to-all connectivity in physical annealers: the Coherent Ising Machine vs D-Wave 2000Q" [arXiv:1805.05217]
Catherine C. McGeoch, William Bernoudy, James King
A recent paper [arXiv:1805.05217] compares performance of a D-Wave 2000Q system to two versions of the coherent Ising machine (CIM). This comment points out some flaws in the analy…
Emulating the coherent Ising machine with a mean-field algorithm
Andrew D. King, William Bernoudy, James King +2
The coherent Ising machine is an optical processor that uses coherent laser pulses, but does not employ coherent quantum dynamics in a computational role. Core to its operation is…
Quantum Annealing amid Local Ruggedness and Global Frustration
James King, Sheir Yarkoni, Jack Raymond +5
A recent Google study [Phys. Rev. X, 6:031015 (2016)] compared a D-Wave 2X quantum processing unit (QPU) to two classical Monte Carlo algorithms: simulated annealing (SA) and quant…
Benchmarking a quantum annealing processor with the time-to-target metric
James King, Sheir Yarkoni, Mayssam M. Nevisi +2
In the evaluation of quantum annealers, metrics based on ground state success rates have two major drawbacks. First, evaluation requires computation time for both quantum and class…