crowe-quantum-hub
Backend registry and local quantum simulator — run circuits on a state-vector simulator or register custom backends.
Installation
pip install crowe-quantum-hub
Features
- Local Simulator: Pure state-vector simulation up to 20 qubits
- Noisy Simulation: Density matrix promotion with Kraus operator noise
- Backend Registry: Register, discover, and query quantum backends by capabilities
- Sampling: Born-rule measurement with configurable shots
- Expectation Values: Compute ⟨ψ|O|ψ⟩ for arbitrary observables
Quick Start
from crowe_quantum_hub import LocalSimulator, registry
sim = LocalSimulator()
# List available backends
print(registry.list_backends()) # ['local-simulator']
# Find simulators with at least 10 qubits
backends = registry.find(min_qubits=10, simulator_only=True)
Part of the Crowe Quantum Platform
1 maintainer
Metadata
1 maintainer
Release files for crowe-quantum-hub 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| crowe_quantum_hub-1.0.1.tar.gz | 7.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| crowe_quantum_hub-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.0 kB
Release files / crowe_quantum_hub-1.0.1.tar.gz
| Download URL | crowe_quantum_hub-1.0.1.tar.gz |
|---|---|
| Size | 7.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
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Release files / crowe_quantum_hub-1.0.1-py3-none-any.whl
| Download URL | crowe_quantum_hub-1.0.1-py3-none-any.whl |
|---|---|
| Size | 5.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
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