Releases: matrixlab-research/QMBED
Releases · matrixlab-research/QMBED
Release list
v0.2.0
What's Changed
- Complete QuSpin compatibility and universal Krylov performance by @kunyuan in #17
- Add reusable solver and operator plans by @kunyuan in #19
- Keep large workspace solves on tridiagonal Lanczos by @kunyuan in #20
- Build unified Rust, Python, and Julia documentation by @kunyuan in #21
- Add scalable subsystem and Floquet foundations by @kunyuan in #22
- Prepare Rust, Python, and Julia registry packaging by @kunyuan in #23
- Add Julia native artifacts for v0.2.0 by @kunyuan in #24
- Fix Python release test dependencies by @kunyuan in #25
- Fix crates.io release metadata by @kunyuan in #26
Full Changelog: v0.1.0...v0.2.0
QMBED native artifacts v0.2.0
Platform libraries consumed by the QMBED Julia package.
v0.1.0
What's Changed
- Implement the initial Rust ED core by @kunyuan in #1
- Add matrix-free Lanczos and shift-invert eigensolver by @kunyuan in #2
- Implement compressed CSC, CSR, and DIA storage by @kunyuan in #3
- Add translation-reduced spin sectors by @kunyuan in #4
- Add reusable matrix-free Krylov evolution by @kunyuan in #5
- Activate paper-scale low-energy eigensystem workflows by @kunyuan in #6
- Add reusable sparse shift-invert factorization by @kunyuan in #7
- Complete-paper-scale-dynamics-workflows by @kunyuan in #8
- Complete Rust QuSpin scientific API by @kunyuan in #9
- Optimize universal assembly and real eigensolvers by @kunyuan in #10
- Isolate numerical backends and accelerate real shift-invert by @kunyuan in #11
- Establish the QMBED crate identity by @kunyuan in #12
- Add a typed native operator API by @kunyuan in #13
- Add a CPU runtime narrow waist by @kunyuan in #14
- Add thin Python and Julia bindings by @kunyuan in #15
- Add profiled parallelism and release gates by @kunyuan in #16
New Contributors
Full Changelog: https://github.com/matrixlab-research/QMBED/commits/v0.1.0