Nightly release of TensorCircuit-NG, a high-performance unified quantum computing framework for the NISQ era. Supports multiple backends (JAX, TensorFlow, PyTorch) for quantum circuit simulation, tensor network contraction, stabilizer simulation, and analog/digital quantum computing. Current version 1.6.0.dev20260508, released nightly.
pip install tensorcircuit-nightlyNo compatibility data collected yet for this library.
Verified import paths — ran on the pinned version, not inferred.
Create a Bell state circuit and measure Z expectation on qubit 1.
Uninstall original: 'pip uninstall tensorcircuit'. Install nightly: 'pip install tensorcircuit-nightly'.
Set default backend: tc.set_backend('jax') or 'pytorch'.Always install 'tensorcircuit-nightly' and import as 'tensorcircuit' (the package name is the same, but the distribution is different).
Use 'pip install tensorcircuit-nightly==1.6.0.dev20260508' for a specific nightly.
Run 'pip install tensorcircuit-nightly' and use 'import tensorcircuit as tc'.
Uninstall 'tensorcircuit' and install 'tensorcircuit-nightly'. Then import as 'tensorcircuit'.
Use JAX or PyTorch backend: set tc.set_backend('jax') or 'pytorch'.No dependency data recorded yet.