diff --git a/README.md b/README.md index 03dfb82e..598c3407 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -quimb +![quimb logo](https://github.com/jcmgray/quimb/blob/HEAD/docs/_static/logo-banner.png?raw=true) [![Tests](https://github.com/jcmgray/quimb/actions/workflows/tests.yml/badge.svg)](https://github.com/jcmgray/quimb/actions/workflows/tests.yml) [![Code Coverage](https://codecov.io/gh/jcmgray/quimb/branch/main/graph/badge.svg)](https://codecov.io/gh/jcmgray/quimb) @@ -19,7 +19,7 @@ The `quimb.tensor` module contains tools for working with **tensors and tensor n - 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 - +![tensor pic](https://github.com/jcmgray/quimb/blob/HEAD/docs/_static/rand-tensor.svg?raw=true) --- @@ -31,7 +31,7 @@ The core `quimb` module contains tools for reference **'exact'** quantum calcula - take advantage of [numba](https://numba.pydata.org) accelerations - stochastically estimate $\mathrm{Tr}f(X)$ quantities - +![matrix pic](https://github.com/jcmgray/quimb/blob/HEAD/docs/_static/rand-herm-matrix.svg?raw=true) --- diff --git a/docs/changelog.md b/docs/changelog.md index 68a86aba..b3bd9514 100644 --- a/docs/changelog.md +++ b/docs/changelog.md @@ -3,7 +3,7 @@ Release notes for `quimb`. (whats-new-1-7-1)= -## v1.7.1 (unreleased) +## v1.7.1 (2024-01-30) **Enhancements:**