Provably unbounded memory advantage in stochastic simulation using quantum mechanics
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 avail...
Saved in:
Main Authors: | Garner, Andrew J. P., Liu, Qing, Thompson, Jayne, Vedral, Vlatko, Gu, Mile |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/87218 http://hdl.handle.net/10220/44337 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Provably unbounded memory advantage in stochastic simulation using quantum mechanics
by: Garner, A.J.P, et al.
Published: (2020) -
Dimensional quantum memory advantage in the simulation of stochastic processes
by: Ghafari, Farzad, et al.
Published: (2020) -
Quantum plug n’ play: modular computation in the quantum regime
by: Thompson, Jayne, et al.
Published: (2018) -
Using quantum theory to simplify input–output processes
by: Thompson, Jayne, et al.
Published: (2018) -
Memory-efficient tracking of complex temporal and symbolic dynamics with quantum simulators
by: Elliott, T.J, et al.
Published: (2020)