Solving SAT and MaxSAT with a Quantum Annealer: Foundations and a Preliminary Report

作者: Zhengbing Bian , Fabian Chudak , William Macready , Aidan Roy , Roberto Sebastiani

DOI: 10.1007/978-3-319-66167-4_9

关键词: MathematicsBinary numberMaximum satisfiability problemQubitExponential growthQuantum computerMathematical optimizationQuadratic equationQuadratic unconstrained binary optimizationQuantum

摘要: Quantum annealers (QA) are specialized quantum computers that minimize objective functions over discrete variables by physically exploiting effects. Current QA platforms allow for the optimization of quadratic objectives defined binary variables, is, they solve unconstrained (QUBO) problems. In last decade, systems as implemented D-Wave have scaled with Moore-like growth. architectures provide 2048 sparsely-connected qubits, and continued exponential growth is anticipated.

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