quimb 1.7.0

Quantum information and many-body library.

<img src=”https://github.com/jcmgray/quimb/blob/HEAD/docs/_static/logo-banner.png?raw=true” alt=”quimb” width=”800px”>

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[quimb](https://github.com/jcmgray/quimb) is an easy but fast python library for ‘quantum information many-body’ calculations, focusing primarily on tensor networks. The code is hosted on [github](https://github.com/jcmgray/quimb), and docs are hosted on [readthedocs](http://quimb.readthedocs.io/en/latest/). Functionality is split in two:

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The quimb.tensor module contains tools for working with tensors and tensor networks. It has a particular focus on automatically handling arbitrary geometry, e.g. beyond 1D and 2D lattices. With this you can:

• construct and manipulate arbitrary (hyper) graphs of tensor networks

• automatically [contract](https://cotengra.readthedocs.io), optimize and draw networks

• use various backend array libraries such as [jax](https://jax.readthedocs.io) and [torch](https://pytorch.org/) via [autoray](https://github.com/jcmgray/autoray/)

• run specific MPS, PEPS, MERA and quantum circuit algorithms, such as DMRG & TEBD

<img src=”https://github.com/jcmgray/quimb/blob/HEAD/docs/_static/rand-tensor.svg?raw=true” width=”300px”>

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The core quimb module contains tools for reference ‘exact’ quantum calculations, where the states and operator are represented as either numpy.ndarray or scipy.sparse matrices. With this you can:

• construct operators in complicated tensor spaces

• find groundstates, excited states and do time evolutions, including with [slepc](https://slepc.upv.es/)

• compute various quantities including entanglement measures

• take advantage of [numba](https://numba.pydata.org) accelerations

• stochastically estimate $mathrm{Tr}f(X)$ quantities

<img src=”https://github.com/jcmgray/quimb/blob/HEAD/docs/_static/rand-herm-matrix.svg?raw=true” width=”300px”>

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The full documentation can be found at: [quimb.readthedocs.io](https://quimb.readthedocs.io). Contributions of any sort are very welcome - please see the [contributing guide](https://github.com/jcmgray/quimb/blob/main/.github/CONTRIBUTING.md). [Issues](https://github.com/jcmgray/quimb/issues) and [pull requests](https://github.com/jcmgray/quimb/pulls) are hosted on [github](https://github.com/jcmgray/quimb). For other questions and suggestions, please use the [discussions page](https://github.com/jcmgray/quimb/discussions).