QuantumBFS / QuantumBFS/quantum.harness
[challenge]: Can we diagnose numerically a stable 'phase' in a open quantum system?
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- Dominant language
- Python
- Stars
- 66
- Forks
- 93
- PR merge metrics
- No merged PRs in 30d
Description
Released by
Junkai Wang
Contact email
WangTheoPhys@outlook.com
Method
Quantum Monte Carlo
Challenge issue
This Challenge is related to Challenge #122 . In recent years, the quantum matter community has witnessed the rapid progress in the study of open quantum systems and the classification of states; specifically regarding the work of researchers——especially Chinese Scientists—— like Wang, Yu, Zhang, Ma, et al.
However a key issue remains: when examining these phase, how do we determine if they are stable? This is a highly technical counting problem. Given the difficulties in developing analytical methods, we hope to evaluate their stability and existence from a numerical perspective.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading Challenge #122 and the Quantum Monte Carlo method described here. Determine what numerical evidence would establish stability and existence of the proposed phase, then identify how that evaluation could fit the repository. Done means a concrete, reproducible numerical approach is defined and its results can distinguish stable from unstable phases.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- hpc
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100