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Speed-up of Neuromorphic Adiabatic Quantum Computation by Local Adiabatic Evolution

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2 Author(s)
Mitsunaga Kinjo ; Dept. of Electr. & Electron. Eng., Univ. of the Ryukyus, Okinawa, Japan ; Katsuhiko Shimabukuro

Farhi et al. have proposed an adiabatic quantum computation (AQC), which can be applied to NP-problems if one can know an appropriate Hamiltonian for a target problem. We have proposed a neuromorphic adiabatic quantum computation (NAQC) as the AQC with energy dissipation and an efficient method for designing a final Hamiltonian in consideration of the analogy with a neural network. The NAQC can be applied to optimization problems if its cost function can be expressed in a quadratic form. And successful operations have been confirmed by numerical simulations. In addition, local adiabatic evolution for quantum search have proposed by Roland et al. in order to speed-up the calculation time. In this paper, we show preliminary results for NAQC with local adiabatic evolution by numerical simulations.

Published in:

2011 41st IEEE International Symposium on Multiple-Valued Logic

Date of Conference:

23-25 May 2011