quapp-pennylane 0.0.4.dev9

Quapp pennylane 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

• fix: Extend compatibility shims in quapp_pennylane/__init__.py for pennylane-rigetti==0.36.0 against PennyLane 0.37–0.42+:
  • measurements.Expectation — renamed to ExpectationMP in PennyLane 0.37+
  • operation.Tensor — removed in PennyLane 0.40+; aliased to ops.Prod (its functional replacement for isinstance checks)
  • pennylane.QubitDevice — moved to pennylane.devices in PennyLane ~0.40+; re-exported at the top-level namespace
• build: Bump a version to 0.0.4.dev9

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