Presentation 2005/11/12
A Study on Artificial Neural Network-inspired Quantum Computation and its Hardware Implementation
Mitsunaga KINJO, Shigeo SATO, Yuuki NAKAMIYA, Koji NAKAJIMA,
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Abstract(in English) An artificial neural network(ANN)-inspired quantum computation, which is a new quantum computation algorithm based on both the ANN-like method and the adiabatic Hamiltonian evolution, has been proposed for solving a combinatorial optimization problem that its cost function is given in a quadratic form. However, the algorithm does not apply in a quantum system with degenerated states or level crossing during the evolution of a Hamiltonian. In order to remove this limitation, we propose an improved algorithm with energy dissipation and discuss how to use this algorithm for solving an optimization problem.
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Keyword(in English) Artificial Neural Network / Adiabatic Quantum Computation / N-queen Problem / Decoherence / Energy Dissipation
Paper # NC2005-71
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Committee NC
Conference Date 2005/11/12(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Artificial Neural Network-inspired Quantum Computation and its Hardware Implementation
Sub Title (in English)
Keyword(1) Artificial Neural Network
Keyword(2) Adiabatic Quantum Computation
Keyword(3) N-queen Problem
Keyword(4) Decoherence
Keyword(5) Energy Dissipation
1st Author's Name Mitsunaga KINJO
1st Author's Affiliation R.I.E.C., Tohoku University()
2nd Author's Name Shigeo SATO
2nd Author's Affiliation R.I.E.C., Tohoku University
3rd Author's Name Yuuki NAKAMIYA
3rd Author's Affiliation R.I.E.C., Tohoku University
4th Author's Name Koji NAKAJIMA
4th Author's Affiliation R.I.E.C., Tohoku University
Date 2005/11/12
Paper # NC2005-71
Volume (vol) vol.105
Number (no) 419
Page pp.pp.-
#Pages 5
Date of Issue