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Quimb

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quimb

Free

Python library; no paid plans or usage limits stated

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Algorithms
The tensor module includes MPS, PEPS, MERA, and quantum-circuit algorithms such as DMRG and TEBD.quimb.readthedocs.io · read 11 Oct 2026
Analysis
Quimb can compute quantities including entanglement measures and stochastically estimate Tr f(X) quantities.quimb.readthedocs.io · read 11 Oct 2026
Array backends
The tensor module can use backend array libraries including JAX and PyTorch through autoray.quimb.readthedocs.io · read 11 Oct 2026
Assessment tools
Noquimb.readthedocs.io · read 23 Sep 2026
Authoring tools
Noquimb.readthedocs.io · read 23 Sep 2026
Circuit support
The documentation includes a quantum-circuit guide and a guide for importing OpenQASM circuits.quimb.readthedocs.io · read 11 Oct 2026
Delivery mode
desktopquimb.readthedocs.io · read 23 Sep 2026
Distribution
Quimb is available from PyPI and conda-forge, and the installation guide recommends Pixi for setup.quimb.readthedocs.io · read 11 Oct 2026
Exact calculations
The core module supports quantum calculations using NumPy arrays or SciPy sparse matrices, including finding ground and excited states and performing time evolution.quimb.readthedocs.io · read 11 Oct 2026
Lesson library
Noquimb.readthedocs.io · read 23 Sep 2026
Optional acceleration
The guide describes optional SLEPc and PETSc packages, with MPI dependencies, for accelerated and optionally distributed partial eigensolving, SVD, and exponentiation.quimb.readthedocs.io · read 11 Oct 2026
Purpose
Quimb is a Python library for quantum information and many-body calculations, with a primary focus on tensor networks.quimb.readthedocs.io · read 11 Oct 2026
Requirements
The documented core requirements include Python 3.11 or newer, NumPy, SciPy, Numba, cytoolz, tqdm, and psutil.quimb.readthedocs.io · read 11 Oct 2026
Research audience
The documentation says quimb is published in the Journal of Open Source Software and asks researchers to cite it when useful in research.quimb.readthedocs.io · read 11 Oct 2026
Tensor networks
Its tensor module can construct and manipulate arbitrary tensor-network graphs, then contract, optimize, and draw networks.quimb.readthedocs.io · read 11 Oct 2026
3D visuals
Noquimb.readthedocs.io · read 23 Sep 2026

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