International Symposium on Nonlinear Theory and its Applications
Artificial Neural Network-inspired Quantum Adiabatic Evolution Algorithm with Energy Dissipation
Mitsunaga Kinjo, Shigeo Sato, Yuuki Nakamiya, Koji Nakajima,
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An ANN(artificial neural network)-inspired quantum adiabatic evolution algorithm, which is a new quantum computation algorithm based on both the ANNlike method and the adiabatic Hamiltonian evolution, has been proposed for solving a combinatorial optimization problem. However, it has been known that the adiabatic evolution algorithm can not be applied to a quantum system with degenerated states during the evolution of a Hamiltonian. In order to remove this limitation, we propose an improved ANN-inspired algorithm with energy dissipation and discuss how to use this algorithm for solving an optimization problem.