{"categories":[{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"}],"enrichment":{"capability":"PennyLane-Lightning provides high-performance quantum state-vector and tensor-network simulators as a plugin for PennyLane, with backends optimized for CPUs, GPUs (NVIDIA and AMD), and distributed computing via MPI.","skillfed_tags":["quantum-computing","gpu-accelerated","hpc"],"use_cases":["Accelerate quantum machine learning training by using GPU-backed simulation instead of CPU-only backends.","Run large-scale quantum circuit simulations on HPC clusters using MPI-distributed state-vector backends.","Prototype quantum algorithms with fast state-vector simulation on consumer hardware before deploying to quantum hardware.","Simulate tensor-network quantum circuits using Matrix Product State or Exact Tensor Network methods for structured problems.","Develop hybrid quantum-classical optimization loops where the simulator is the bottleneck and GPU acceleration is needed."],"what_it_does":"PennyLane-Lightning is a plugin that extends PennyLane with fast quantum simulators written in C++. It provides multiple backends: lightning.qubit for CPU-based state-vector simulation with optional OpenMP parallelization, lightning.kokkos for multi-platform parallelism (OpenMP, CUDA, HIP, MPI), lightning.gpu for NVIDIA GPU acceleration via cuQuantum SDK, lightning.amdgpu for AMD GPUs, and lightning.tensor for tensor-network simulation. The package depends on PennyLane and scipy-openblas32, and is designed to accelerate hybrid quantum-classical computations on modern hardware from laptops to HPC clusters.\n\nYou install it as a PennyLane device plugin and select a backend (e.g., 'lightning.qubit' or 'lightning.gpu') when creating a device. Most backends are available via pip for Linux x86, Linux ARM, macOS ARM, and Windows; GPU and MPI variants may require source builds on some platforms. The plugin is actively maintained, supports Python 3.11 and above, and has no known security vulnerabilities.","worth_installing":"Yes. PennyLane-Lightning is a mature, actively maintained plugin with low install friction, no security vulnerabilities, and permissive licensing. Install it if you use PennyLane and need faster simulation than the default backend, especially for GPU-accelerated or distributed workloads. The CPU-only lightning.qubit backend is available on all major platforms via pip; GPU backends require appropriate hardware and drivers but are well-documented."},"id":"pennylane-lightning","links":{"html":"https://skillfed.io/packages/pennylane-lightning","md":"https://skillfed.io/packages/pennylane-lightning.md","pypi":"https://pypi.org/project/pennylane-lightning/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-12","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"pennylane-lightning","python_support":"supports_current","summary":"PennyLane-Lightning plugin"},"popularity":{"monthly_downloads":749420,"position":5161,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.45.0"}