Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

quapp-pennylane

Quapp PennyLane library supporting the Quapp Platform for Quantum Computing with providers, devices, circuit export, invocation, and job fetching utilities.

Overview

quapp-pennylane is a Python library that integrates the Quapp Platform with PennyLane-based quantum backends and simulators. It provides common abstractions for providers and devices, helpers for circuit construction and export, robust job submission and result fetching flows, and consistent job-scoped logging across all components.

Features

  • Provider & device factories — PennyLane-compatible factories for local simulators (e.g., default.qubit) and vendor-backed hardware (Rigetti QVM, AWS Braket, IBM Quantum).
  • Circuit exportPennylaneCircuitExportTask with a _PennylaneDrawableCircuit adapter that satisfies the CircuitExportTask.draw() contract using qml.draw_mpl.
  • Job executionQAppPennylaneDevice drives the full execution pipeline: tape construction, device selection, QNode creation, probability histogram generation, and timing metrics.
  • Rigetti QVM support — dynamic device-name derivation for N-qubit QVM topologies (Nq-qvm, Nq-pyqvm) alongside fixed 9-qubit variants.
  • Structured logging — job-scoped, instance-bound loggers emit structured key=value fields at every major step for traceability and debugging.
  • Compatibility shimsquapp_pennylane/__init__.py patches API breaks between pennylane-rigetti==0.36.0 and PennyLane 0.37–0.42+ at import time (see Compatibility below).

Installation

pip install quapp-pennylane

Requirements

Dependency Version
Python ≥ 3.10
quapp-common 0.0.11.dev7
pennylane 0.37.0
PennyLane-Rigetti 0.36.0
PennyLane-Lightning 0.37.0
pydantic ≥ 1.7.2, < 2.0.0
autoray 0.6.11

Project Structure

quapp_pennylane/
├── __init__.py                          # Compatibility shims (loaded at import)
├── async_tasks/
│   └── pennylane_circuit_export_task.py # PennylaneCircuitExportTask + adapter
├── component/
│   └── backend/
│       └── pennylane_invocation.py
├── factory/
│   ├── pennylane_device_factory.py
│   ├── pennylane_handler_factory.py
│   └── pennylane_provider_factory.py
├── handler/
│   └── invocation_handler.py
└── model/
    ├── device/
    │   ├── qapp_pennylane_device.py     # Core execution device
    │   ├── aws_braket_device.py
    │   └── ibm_quantum_device.py
    └── provider/
        ├── qapp_pennylane_provider.py
        ├── aws_braket_provider.py
        ├── ibm_cloud_provider.py
        └── ibm_quantum_provider.py

Compatibility

quapp_pennylane/__init__.py applies the following shims at import time so that pennylane-rigetti==0.36.0 works against PennyLane 0.37–0.42+:

Symbol Change Shim
measurements.Expectation Renamed to ExpectationMP in PennyLane 0.37+ Alias Expectation → ExpectationMP
operation.Tensor Removed in PennyLane 0.40+; replaced by ops.Prod Alias Tensor → Prod for isinstance checks
pennylane.QubitDevice Moved to pennylane.devices in PennyLane ~0.40+ Re-export at top-level namespace
pydantic.BaseModel.__config__ Removed in Pydantic v2; qcs-api-client<0.22.0 reads self.__config__.env_prefix Inject a stub __config__ with env_prefix='' onto BaseModel

pydantic is pinned to >=1.7.2,<2.0.0 in pyproject.toml to make the v1 requirement of qcs-api-client<0.22.0 explicit and prevent pip from resolving v2.

Recent Changes

0.0.5.dev2

  • fix(export): Fix _PennylaneDrawableCircuit.draw()qml.draw_mpl requires a QNode, not a bare callable; now captures the circuit into a QuantumTape, derives wires, creates a default.qubit device, and wraps in a QNode before rendering with qml.draw_mpl.
  • build: Bump version to 0.0.5.dev2.

0.0.5.dev1

  • feat(device): Add structured key=value log fields to QAppPennylaneDevice at every execution stage — initialization, tape diagnostics, device resolution, QNode setup, execution timing, histogram generation, and finalization.
  • feat(device): Default shots fallback — shots=None or shots=0 in CircuitRunningOption falls back to 1024 with a warning instead of raising.
  • feat(export): Introduce _PennylaneDrawableCircuit adapter in PennylaneCircuitExportTask to wrap PennyLane circuits for the CircuitExportTask.draw() contract using qml.draw_mpl.
  • feat(export): Emit Python runtime information and duration timing in _transpile_circuit.
  • fix(compat): Patch pydantic.BaseModel.__config__ at import time for Pydantic v2 environments — qcs-api-client<0.22.0 accesses self.__config__.env_prefix (a Pydantic v1 inner Config class removed in v2).
  • fix(deps): Pin pydantic>=1.7.2,<2.0.0 in pyproject.toml to prevent pip from resolving Pydantic v2.
  • fix(compat): Extend compatibility shims for pennylane-rigetti==0.36.0 against PennyLane 0.37–0.42+: measurements.Expectation, operation.Tensor, and pennylane.QubitDevice.
  • build: Bump version to 0.0.5.dev1.

For detailed API references, refer to the in-code documentation or contact the maintainers at corp@citynow.vn.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quapp_pennylane-0.0.5.dev3.tar.gz (17.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

quapp_pennylane-0.0.5.dev3-py3-none-any.whl (23.4 kB view details)

Uploaded Python 3

File details

Details for the file quapp_pennylane-0.0.5.dev3.tar.gz.

File metadata

  • Download URL: quapp_pennylane-0.0.5.dev3.tar.gz
  • Upload date:
  • Size: 17.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for quapp_pennylane-0.0.5.dev3.tar.gz
Algorithm Hash digest
SHA256 96a661ee199c0e0744355988101568db514fcd949c8e2562117c932b126915dc
MD5 f8ff4d32a035eed8a9d79b2cc8b095e6
BLAKE2b-256 d06b2fda24e27e68b9a0fcb20f0a78fbd481f174be6082b530634e420023bc44

See more details on using hashes here.

File details

Details for the file quapp_pennylane-0.0.5.dev3-py3-none-any.whl.

File metadata

File hashes

Hashes for quapp_pennylane-0.0.5.dev3-py3-none-any.whl
Algorithm Hash digest
SHA256 637574f4a55ebca862f7820ed2ab2cdd3505466cff2a01e094868cfd1e34dad0
MD5 f04784b7b8f9f1f82c9f48501b44fbbe
BLAKE2b-256 a8a402848939be4519904b6c4ce99dcaacaf6eb0b5a132510bceb456c2342df6

See more details on using hashes here.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page