Quimb
Quimb: A focused Python library for quantum circuits, tensor networks, and many-body calculations. Ranked #29 of 89 in Physics Simulation Software by our editors (6.2/10); pricing: Free plan; best for researchers simulating quantum circuits and many-body.
At a glance
- Editor score6.2 / 10
- PricingFree plan
- Best forResearchers simulating quantum circuits and many-body
- Free planYes
- Paid fromFree
- Delivery modeDesktop
- Facts checked23 Sep 2026
Where it wins
- Covers quantum-state and operator representation and manipulation.
- Supports quantum circuit simulation and tensor-network workflows.
- Includes MPS/MPO, many-body, and dense or sparse linear-algebra tools.
Where it doesn't
- Requires programmatic work in Python rather than a packaged simulation interface.
- Its scope centers on quantum-information and many-body calculations.
- Support is through documentation and community channels.
Our verdict on Quimb
Quimb is an open-source Python library for quantum-information and many-body calculations. It is aimed at researchers, developers, and technically oriented users who want to build simulations in Python, rather than students looking for a packaged physics lesson platform. The library provides tools for representing and manipulating quantum states and operators, simulating quantum circuits, and working with tensor networks. Its focus is computational and programmatic, making it a specialized option within physics simulation software.
The feature set spans several connected workflows: tensor-network construction and contraction, matrix product state and matrix product operator calculations, and many-body Hamiltonian and evolution calculations. Dense and sparse numerical linear-algebra utilities complement these capabilities. This breadth is useful for users whose work moves between quantum-circuit simulation and many-body methods, while remaining centered on quantum-information and related calculations rather than broad classroom simulation. Quimb is installed as a local Python dependency and used programmatically, so prospective users should be comfortable building around a library rather than expecting a graphical, lesson-oriented product.
Quimb is open source, with a free plan, and is delivered as a desktop library that can be self-hosted. Documentation and community channels are the stated support routes. That model may suit solo researchers and small or mid-market teams seeking control over a Python-based workflow; it is less suited to users who need formal support channels or a guided educational platform. Choose Quimb when quantum circuits, tensor networks, and many-body calculations match the research task. Consider another tool if the priority is lesson content, authoring, assessment, or a packaged interface rather than scientific programming.
Your product? Our editors can test Quimb in depth and publish a review, labelled as paid · from $149/mo →
Quimb pricing
Quimb fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Delivery mode | Desktop |
| Lesson library | No |
| Authoring tools | No |
| Assessment tools | No |
| 3D visuals | No |
| Offline access | Not verified |
| Data export | Not verified |
| Deployment | Self-hosted |
| Support | Docs, Community |
| Built for | Solo, Small business, Mid-market (editorial estimate) |
| Pricing | Free plan |
| Website | quimb.readthedocs.io |
| Facts checked | 23 Sep 2026 |
Alternatives to Quimb
- COMSOL MultiphysicsA broad desktop environment for coupled physics, engineering models, and custom simulation apps.9.4
- Ansys FluentA deep CFD and HPC environment for demanding industrial simulation work.9.3
- SimScaleA broad browser-based multiphysics platform with flexible cloud workflows and tiered access.9.1
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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