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Quantum Monte Carlo for Quantum-dot Cellular Automata Savard, Ezra
Abstract
A fast solver that can find ground state solutions while providing information about the occupation of states in quantum annealing (QA) systems is very desirable. The path-integral Quantum Monte Carlo (QMC) as described by Martonak et al. is an interesting candidate due to having been modeled on physical quantum annealing [1]. While this implementation of QMC behaved similarly, it did not achieve the same levels of performance as reported by Martonak or Denchev [1][2]. Some interesting results were obtained simulating the final distributions of physical quantum annealing on quantum-dot cellular automata (QCA) circuits, but more work is needed on this front before it could become useful.
Item Metadata
Title |
Quantum Monte Carlo for Quantum-dot Cellular Automata
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Creator | |
Date Issued |
2016-04-24
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Description |
A fast solver that can find ground state solutions while providing information about the occupation of states in quantum annealing (QA) systems is very desirable. The path-integral Quantum Monte Carlo (QMC) as described by Martonak et al. is an interesting candidate due to having been modeled on physical quantum annealing [1]. While this implementation of QMC behaved similarly, it did not achieve the same levels of performance as reported by Martonak or Denchev [1][2]. Some interesting results were obtained simulating the final distributions of physical quantum annealing on quantum-dot cellular automata (QCA) circuits, but more work is needed on this front before it could become useful.
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Language |
eng
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Series | |
Date Available |
2017-02-01
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0304646
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URI | |
Affiliation | |
Campus | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Undergraduate
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DSpace
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Attribution-NonCommercial-NoDerivatives 4.0 International