Journal article
Provably unbounded memory advantage in stochastic simulation using quantum mechanics
- Abstract:
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Simulating the stochastic evolution of real quantities on a digital computer requires a trade-off between the precision to which these quantities are approximated, and the memory required to store them. The statistical accuracy of the simulation is thus generally limited by the internal memory available to the simulator. Here, using tools from computational mechanics, we show that quantum processors with a fixed finite memory can simulate stochastic processes of real variables to arbitrarily ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 1.3MB)
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- Publisher copy:
- 10.1088/1367-2630/aa82df
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Authors
Bibliographic Details
- Publisher:
- IOP Publishing Publisher's website
- Journal:
- New Journal of Physics Journal website
- Volume:
- 19
- Article number:
- 103009
- Publication date:
- 2017-10-11
- Acceptance date:
- 2017-07-28
- DOI:
- ISSN:
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1367-2630
- Source identifiers:
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747431
Item Description
- Keywords:
- Pubs id:
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pubs:747431
- UUID:
-
uuid:40a68843-bbd3-4726-a2de-26e8822deb2d
- Local pid:
- pubs:747431
- Deposit date:
- 2019-10-21
Terms of use
- Copyright date:
- 2017
- Notes:
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Original content from this work may be used under the terms of the Creative
Commons Attribution 3.0 licence.
- Licence:
- CC Attribution (CC BY)
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