quimb 0.4.0

Quantum information and many-body library.

quimb is an easy but fast python library for quantum information and many-body calculations. The main docs are hosted on readthedocs. It is also thoroughly unit-tested and the tests are probably the best place to look for detailed documentation.

The core quimb module:

• Uses numpy and scipy.sparse matrices as quantum objects

• Accelerates many operations using numba and numexpr

• Makes it easy to construct operators in large tensor spaces (e.g. 2D lattices).

• Uses efficient methods to compute various quantities including entanglement measures

• Can generate a variety of random states and operators

• Can perform evolutions with several methods, computing quantities on the fly

• Has an optional slepc4py interface for easy distributed (MPI) linear algebra. This can massively increase the performance when seeking, for example, mid-spectrum eigenstates.

The tensor network module quimb.tensor:

• Uses a geometry free representation of tensor networks

• Uses opt_einsum to find efficient contraction orders for hundreds of tensors, and perform those contractions potentially on the GPU

• Can plot any network, color-coded, with bond size represented

• Can treat any network as a scipy LinearOperator, allowing many decompositions

• Can perform DMRG1, DMRG2 and DMRGX, in matrix product state language.

• Has tools to efficiently address periodic problems (transfer matrix compression and pseudo-orthogonalization)

The full documentation can be found at: http://quimb.readthedocs.io/en/latest/.