Quantum-enhanced analysis of discrete stochastic processes
Abstract Discrete stochastic processes (DSP) are instrumental for modeling the dynamics of probabilistic systems and have a wide spectrum of applications in science and engineering. DSPs are usually analyzed via Monte-Carlo methods since the number of realizations increases exponentially with the nu...
Main Authors: | Carsten Blank, Daniel K. Park, Francesco Petruccione |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-08-01
|
Series: | npj Quantum Information |
Online Access: | https://doi.org/10.1038/s41534-021-00459-2 |
Similar Items
-
Stochastic analysis & discrete quantum systems
by: Anastasia Doikou, et al.
Published: (2019-08-01) -
An Invitation to Quantum Channels
by: Vinayak Jagadish, et al.
Published: (2018-07-01) -
Stochastic dissipative quantum spin chains (I) : Quantum fluctuating discrete hydrodynamics
by: Michel Bauer, Denis Bernard, Tony Jin
Published: (2017-11-01) -
A divide-and-conquer algorithm for quantum state preparation
by: Israel F. Araujo, et al.
Published: (2021-03-01) -
The optimal control of discrete stochastic processes /
by: Pritsker, A. Alan B.
Published: (1961)