Memory-efficient tracking of complex temporal and symbolic dynamics with quantum simulators
Tracking the behaviour of stochastic systems is a crucial task in the statistical sciences. It has recently been shown that quantum models can faithfully simulate such processes whilst retaining less information about the past behaviour of the system than the optimal classical models. We extend thes...
Saved in:
Main Authors: | Elliot, Thomas Joseph, Garner, Andrew J. P., Gu, Mile |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/102677 http://hdl.handle.net/10220/48066 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Memory-efficient tracking of complex temporal and symbolic dynamics with quantum simulators
by: Elliott, T.J, et al.
Published: (2020) -
Surveying Structural Complexity in Quantum Many-Body Systems
by: SUEN, Whei Yeap, et al.
Published: (2022) -
Provably unbounded memory advantage in stochastic simulation using quantum mechanics
by: Garner, Andrew J. P., et al.
Published: (2018) -
Provably unbounded memory advantage in stochastic simulation using quantum mechanics
by: Garner, A.J.P, et al.
Published: (2020) -
Superior memory efficiency of quantum devices for the simulation of continuous-time stochastic processes
by: Elliott, Thomas Joseph, et al.
Published: (2018)