Robust inference of memory structure for efficient quantum modeling of stochastic processes

Robust inference of memory structure for efficient quantum modeling of stochastic processes

A growing body of work has established the modeling of stochastic processes as a promising area of application for quantum technologies; it has been shown that quantum models are able to replicate the future statistics of a stochastic process while retaining less information about the past than any...

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Bibliographic Details
Main Authors: Ho, Matthew, Gu, Mile, Elliott, Thomas J.
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2020
Subjects:
Science::Physics
Random Processes
Stochastic Models
Online Access:https://hdl.handle.net/10356/145292
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/145292

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