flagos-ai/FlagQuantum
PythonApache-2.0active
Health
Sharded, differentiable quantum simulation and training in PyTorch, reaching domestic accelerators through FlagOS.
Health Breakdown
Activity25
Community25
Maintenance9
Popularity19
#automatic-differentiation#differentiable-programming#distributed-computing#distributed-training#domestic-accelerator#flagos#gpu#high-performance-computing#hpc#matrix-product-states#python#pytorch#quantum-algorithms#quantum-computing#quantum-machine-learning#quantum-simulation#scientific-computing#sdks#statevector#tensor-networks
Should you contribute to flagos-ai/FlagQuantum?
flagos-ai/FlagQuantum has a FoundDev health score of 79/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.
Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.
Licensed under Apache-2.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
Community
PythonApache 2.0
active
0d ago
