quapp-qsharp 0.0.1.dev1

Quapp qsharp library supporting Quapp Platform for Quantum Computing

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:

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.