OpenQML
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OpenQML is a Python library for hybrid quantum-classical learning and quantum circuit interoperability.
Features
- Trainable quantum layers for PyTorch and JAX, with native automatic differentiation.
- Circuit conversion across Qiskit, PennyLane, Cirq and OpenQASM, with explicit semantic verification.
- Resource-aware execution, sparse Pauli propagation, quantum geometry and measurement estimation.
Installation
Requires Python 3.10 or later.
python -m pip install openqml
import openqml as oq
The core depends on NumPy, packaging and psutil. Optional framework integrations
are available through extras such as openqml[torch], openqml[jax] and openqml[all].
Documentation
Architecture · Semantic verification · Scalable execution · Research methods
There is no fixed total circuit-width ceiling. Execution remains subject to representation, memory and work budgets. Approximation is opt-in and reports its bounds.
License
1 maintainer
Metadata
1 maintainer
Release files for openqml 0.5.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| openqml-0.5.1.tar.gz | 191.0 kB | With provenance | Details for openqml-0.5.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| openqml-0.5.1-py3-none-any.whl | Python 3 | none | any | Details for openqml-0.5.1-py3-none-any.whl |
Total release size: 416.0 kB
Release files / openqml-0.5.1.tar.gz
| Download URL | openqml-0.5.1.tar.gz |
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| Size | 191.0 kB |
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| Tags | Python 3 |
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