Sign-problem free quantum stochastic series expansion algorithm on a quantum computer
A quantum implementation of the Stochastic Series Expansion (SSE) Monte Carlo method is proposed, and is shown to offer significant advantages over classical implementations of SSE. In particular, for problems where classical SSE encounters the sign problem, the cost of implementing a Monte Carlo it...
Saved in:
Main Authors: | Tan, Kok Chuan, Bhowmick, Dhiman, Sengupta, Pinaki |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/171018 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Optimal stochastic modeling with unitary quantum dynamics
by: Liu, Qing, et al.
Published: (2020) -
Provably unbounded memory advantage in stochastic simulation using quantum mechanics
by: Garner, Andrew J. P., et al.
Published: (2018) -
QUANTUM ALGORITHMS FOR BINARY OPTIMIZATION ON NOISY INTERMEDIATE SCALE QUANTUM DEVICES
by: TAN YEW LOONG BENJAMIN
Published: (2024) -
A strategy for quantum algorithm design assisted by machine learning
by: Bang, J, et al.
Published: (2020) -
ERROR REGIONS FOR SELF-CALIBRATING QUANTUM TOMOGRAPHY AND SAMPLING OF QUANTUM CHANNELS
by: SIM JUN YAN
Published: (2020)