quapp-pennylane

Name	quapp-pennylane JSON
Version	0.0.4.dev6 JSON
	download
home_page	None
Summary	Quapp pennylane library supporting Quapp Platform for Quantum Computing
upload_time	2025-09-05 04:44:00
maintainer	None
docs_url	None
author	None
requires_python	>=3.10
license	The MIT License (MIT) Copyright © CITYNOW Co. Ltd. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords	quapp quapp-pennylane pennylane quantum
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
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            # 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/export, robust job
submission and result fetching flows, and consistent, job-scoped logging across
components. Recent improvements focus on cleaner and more consistent logging,
better error handling, and clear separation of concerns between invocation and
fetching flows.

## Features

- Provider and device factories for PennyLane-compatible platforms (e.g., local
  simulators and vendor-backed devices exposed via PennyLane).
- Circuit export utilities and helpers for building and running PennyLane
  circuits.
- Handlers for job invocation and job result fetching with enhanced,
  context-rich logging.
- Job-scoped, instance-bound logging for improved traceability and debugging.
- Refined log levels and simplified imports to reduce noise and improve clarity.

## Installation

Install via pip:

```bash
pip install quapp-pennylane
```

## Recently Changes Highlights

- refactor: Update probability measurement handling and histogram generation
  logic
- refactor: Add `_transpile_circuit` method with logging improvements
- refactor: Switch to `job_logger` and improve logging consistency in PennyLane
  factories
- build: Bump a version to 0.0.4.dev6 and update dependency `quapp-common` to
  0.0.11.dev7
- refactor: Enhance logging and error handling across QAppPennylane components

For detailed usage and API references, please refer to the in-code documentation
or contact the maintainers.

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    "description": "# quapp-pennylane\n\nQuapp PennyLane library supporting the Quapp Platform for Quantum Computing with\nproviders, devices, circuit export, invocation, and job fetching utilities.\n\n## Overview\n\n`quapp-pennylane` is a Python library that integrates the Quapp Platform with\nPennyLane-based quantum backends and simulators. It provides common abstractions\nfor providers and devices, helpers for circuit construction/export, robust job\nsubmission and result fetching flows, and consistent, job-scoped logging across\ncomponents. Recent improvements focus on cleaner and more consistent logging,\nbetter error handling, and clear separation of concerns between invocation and\nfetching flows.\n\n## Features\n\n- Provider and device factories for PennyLane-compatible platforms (e.g., local\n  simulators and vendor-backed devices exposed via PennyLane).\n- Circuit export utilities and helpers for building and running PennyLane\n  circuits.\n- Handlers for job invocation and job result fetching with enhanced,\n  context-rich logging.\n- Job-scoped, instance-bound logging for improved traceability and debugging.\n- Refined log levels and simplified imports to reduce noise and improve clarity.\n\n## Installation\n\nInstall via pip:\n\n```bash\npip install quapp-pennylane\n```\n\n## Recently Changes Highlights\n\n- refactor: Update probability measurement handling and histogram generation\n  logic\n- refactor: Add `_transpile_circuit` method with logging improvements\n- refactor: Switch to `job_logger` and improve logging consistency in PennyLane\n  factories\n- build: Bump a version to 0.0.4.dev6 and update dependency `quapp-common` to\n  0.0.11.dev7\n- refactor: Enhance logging and error handling across QAppPennylane components\n\nFor detailed usage and API references, please refer to the in-code documentation\nor contact the maintainers.\n",
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