BAFQMC

Bosonic auxiliary-field quantum Monte Carlo: symmetry-protected access to frustrated bosons, reproducible benchmarks, and agent-guided…

A new way for AI to search for data
View on GitHub
1GitHub stars

Python, shell

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit a54ceb40e1 (2026-09-25).

Selected work

“Align solver and benchmark package with manuscript notation”. 107 files, 5,965 lines in benchmarks, src/number_conserving, src/pairing.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-21. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

agentic-aibosonscomputational-physicscondensed-matter-physicsexact-diagonalizationfortranopen-sciencepython

Example questions

The prompt

Paste it into your AI agent. It clones YinkaiYu/BAFQMC at the pinned commit and indexes it on your machine.

Search the GitHub repository YinkaiYu/BAFQMC with XERJ (https://hub.xerj.org/corpus/yinkaiyu--bafqmc).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/YinkaiYu/BAFQMC BAFQMC && git -C BAFQMC checkout a54ceb40e11c81232c2f018b34fd34cdbd83c029
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./BAFQMC --url http://127.0.0.1:9200 --prefix bafqmc --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.