Quantum-enhanced stochastic analysis
The recent algorithm for quantum-enhanced analysis of discrete stochastic processes estimates expectation values of the random variables of a simulated process, achieving optimal sampling variance. In this paper, the algorithm was adapted to include a memory efficient unitary simulator acting step-w...
Saved in:
主要作者: | Chang, Derek Ding Cong |
---|---|
其他作者: | Gu Mile |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2023
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/166392 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Predictive modelling of quantum stochastic processes
由: Huang, Ruocheng
出版: (2021) -
Compression methods for approximate stochastic modelling
由: Onggadinata, Kelvin
出版: (2020) -
Delay-dependent stability analysis of numerical methods for stochastic delay differential equations
由: Huang, Chengming, et al.
出版: (2013) -
Time-inconsistent stochastic linear-quadratic control in continuous time
由: Song, Wan Jing
出版: (2021) -
Topological Data Analysis of Collective Behavior in Public Transportation
由: Macarasig, Ralph Joshua, et al.
出版: (2024)