PennyLane

Overview

PennyLane is a quantum computing library that enables training quantum computers like neural networks. It provides automatic differentiation of quantum circuits, device-independent programming, and seamless integration with classical machine learning frameworks.

Installation

PennyLane 0.45.0 requires Python 3.11 or newer. Install using uv with pinned versions for reproducible environments:

uv pip install "pennylane==0.45.0"

For quantum hardware access, install the plugin matching the target provider. Start from a clean environment when adding or upgrading Qiskit because its dependency graph is strict.

# IBM Quantum
uv pip install "pennylane-qiskit==0.45.0"

# Amazon Braket
uv pip install "amazon-braket-pennylane-plugin==1.34.1"

# Google Cirq
uv pip install "pennylane-cirq==0.44.0"

# Rigetti Forest
uv pip install "pennylane-rigetti==0.40.0"

# IonQ
uv pip install "pennylane-ionq==0.45.0"

# High-performance local simulators
uv pip install "pennylane-lightning==0.45.0"

# Catalyst JIT compilation
uv pip install "pennylane-catalyst==0.15.0"

Quick Start

Build a quantum circuit and optimize its parameters:

impor…