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Quimb

Place
#43 of 89
Score
6.4
Quimb's website

The facts below are what the maker publishes about Quimb, checked and dated. Our editors have not written about it yet.

Plans and prices

From Quimb's own pricing page, checked 11 Oct 2026.

All about pricing
PlanPriceWhat it gives you
quimbFreePython library; no paid plans or usage limits stated

The facts

Each one read from Quimb's own pages, with the date it was checked.

What it does

3D visuals
Nochecked 23 Sep 2026
Algorithms
The tensor module includes MPS, PEPS, MERA, and quantum-circuit algorithms such as DMRG and TEBD.checked 11 Oct 2026
Analysis
Quimb can compute quantities including entanglement measures and stochastically estimate Tr f(X) quantities.checked 11 Oct 2026
Array backends
The tensor module can use backend array libraries including JAX and PyTorch through autoray.checked 11 Oct 2026
Assessment tools
Nochecked 23 Sep 2026
Authoring tools
Nochecked 23 Sep 2026
Circuit support
The documentation includes a quantum-circuit guide and a guide for importing OpenQASM circuits.checked 11 Oct 2026
Delivery mode
desktopchecked 23 Sep 2026
Distribution
Quimb is available from PyPI and conda-forge, and the installation guide recommends Pixi for setup.checked 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.checked 11 Oct 2026
Lesson library
Nochecked 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.checked 11 Oct 2026
Purpose
Quimb is a Python library for quantum information and many-body calculations, with a primary focus on tensor networks.checked 11 Oct 2026
Requirements
The documented core requirements include Python 3.11 or newer, NumPy, SciPy, Numba, cytoolz, tqdm, and psutil.checked 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.checked 11 Oct 2026
Tensor networks
Its tensor module can construct and manipulate arbitrary tensor-network graphs, then contract, optimize, and draw networks.checked 11 Oct 2026

Money

Free plan
Yeschecked 23 Sep 2026

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