Predictive modelling of quantum stochastic processes
In this paper, predictive modelling involving non-orthogonal emissions upon state transitions of Hidden Markov Model is studied. Mixed-State Presentation (MSP) is used to unifilarise the process in order to keep track of the state of knowledge over underlying machine states after each measurement. I...
Saved in:
Main Author: | Huang, Ruocheng |
---|---|
Other Authors: | Gu Mile |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/148315 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Randomised benchmarking with gate-dependent noise : plus applications in the triple quantum dot qubit
by: Zaw, Lin Htoo
Published: (2020) -
Optimal stochastic modeling with unitary quantum dynamics
by: Liu, Qing, et al.
Published: (2020) -
Quantum stochastic modelling and tensor networks
by: Yang, Chengran
Published: (2020) -
Extreme dimensionality reduction with quantum modeling
by: Elliott, Thomas J., et al.
Published: (2021) -
Compression methods for approximate stochastic modelling
by: Onggadinata, Kelvin
Published: (2020)