Pennylane Python Packages

pennylane-catalyst

A JIT compiler for hybrid quantum programs in PennyLane

arvak

Rust HAL for quantum hardware. One Python API across IBM, IQM, Quantinuum, AQT, IonQ, Quandela, Scaleway, AWS Braket, NVIDIA CUDA-Q, MQT DDSIM and a local simulator, with Qiskit / Cirq / Qrisp / PennyLane as input converters.

vqe-pennylane

Python toolkit for Variational Quantum Eigensolver (VQE), QPE, and QITE workflows for quantum chemistry simulations using PennyLane, supporting reproducible hybrid quantum–classical experiments, using PennyLane.

quoptuna

Fairness-aware, explainable AutoML for quantum + classical ML — 21 models, one Optuna search, SHAP & AI reports. uvx quoptuna

example-plugin

The plugin template for quantum-local-server

abrax

Cross framework compilation for simple circuits

quonic

Quantum programming framework — 3 lines of code, 12+ backends, 77 algorithm templates. Write quantum programs as simple as Python.

pyqit

A high-level orchestration and pipeline framework for quantum machine learning

qcoder

Quantum circuit analysis and structured feature extraction.

qml-pennylane

Modular Python framework for quantum machine learning using PennyLane, including variational classifiers, quantum kernels, and reproducible workflows for hybrid quantum–classical experiments.

quantumuq

Uncertainty quantification, calibration, and reliability benchmarking for quantum machine learning with Qiskit and PennyLane.

westquant-pennylane

WestQuant representation-search integration for PennyLane transforms and quantum chemistry.

quantum-circuit-drawer

A Matplotlib-based library for drawing quantum circuits, plotting measurement results, and comparing outputs across several quantum ecosystems with one consistent public API. Explained in https://arxiv.org/abs/2606.08760

qml-observer

QML Observer is an observability and diagnostic framework for variational quantum machine learning. It monitors training telemetry in real time, detects probable plateau-like failure modes, explains what it sees, and can log or intervene before compute is wasted. Built for simulator-based PennyLane and Qiskit workflows.

hiq-quantum

Rust HAL for quantum hardware. One Python API across IBM, IQM, Quantinuum, AQT, IonQ, Quandela, Scaleway, AWS Braket, NVIDIA CUDA-Q, MQT DDSIM and a local simulator, with Qiskit / Cirq / Qrisp / PennyLane as input converters.

quprep

QuPrep is an open-source Python library for converting classical datasets into quantum-computing-ready formats. It provides a framework-agnostic preprocessing pipeline with intelligent encoding selection, hardware-aware dimensionality reduction, and multi-framework export support for Qiskit, PennyLane, Cirq, and TKET.

vqe-portfolio

Python framework for portfolio optimisation using Variational Quantum Eigensolver (VQE), supporting QUBO formulations, constrained optimisation, and reproducible workflows for hybrid quantum–classical finance experiments.

qcml

A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.

hnep

Hybrid Network Evaluation Protocol — multi-method evaluation for hybrid quantum-classical ML models. Classifies your quantum component as Genuine, Regularizer, Ignored, or Dead Weight with bootstrap confidence intervals.

qrl-qai

The quantum analogue of OpenAI's "gym" python framework

qx-quark

Vector embeddings for quantum circuits, so equivalent ones land close

qml-hcs

QML-HCS: Quantum Machine Learning Hypercausal System A research-grade library for quantum-inspired machine learning with hypercausal feedback.

seraphim-logic-core

Quantum-classical hybrid symbolic agent framework — Seraphim |LZ⟩ | Perfect Squared Inc. | P2 Labs