In this paper, a new quantum algorithm for solving the combinatorial optimization problems is discussed. It is based on the quantum adiabatic evolution algorithm. We propose a new method for synthesizing a Hamiltonian inspired by a Hopfield network in order to improve calculation cost. The quantum system given by a new Hamiltonian has neuron-like interactions and shows quantum behavior. We present simulation results of the new algorithm for the 4-queen problem. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Kinjo, M., Sato, S., & Nakajima, K. (2003). Quantum adiabatic evolution algorithm for a quantum neural network. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2714, 951–958. https://doi.org/10.1007/3-540-44989-2_113
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