Hybrid quantum annealing via molecular dynamics
Hirotaka Irie, Haozhao Liang, Takumi Doi, Shinya Gongyo, Tetsuo Hatsuda
Abstract
A novel quantum-classical hybrid scheme is proposed to efficiently solve large-scale combinatorial optimization problems. The key concept is to introduce a Hamiltonian dynamics of the classical flux variables associated with the quantum spins of the transverse-field Ising model. Molecular dynamics of the classical fluxes can be used as a powerful preconditioner to sort out the frozen and ambivalent spins for quantum annealers. The performance and accuracy of our smooth hybridization in comparison to the standard classical algorithms (the tabu search and the simulated annealing) are demonstrated by employing the MAX-CUT and Ising spin-glass problems.
Topics & Concepts
Quantum annealingSpinsSimulated annealingTabu searchIsing modelHamiltonian (control theory)QuantumStatistical physicsMolecular dynamicsPreconditionerPhysicsQuantum dynamicssortComputer scienceQuantum computerQuantum simulatorLattice (music)Quantum mechanicsQuantum algorithmAlgorithmMagnetic fluxContinuous variableKey (lock)Global optimizationQuantum Computing Algorithms and ArchitectureMarkov Chains and Monte Carlo MethodsDNA and Biological Computing