v1.3.2

Bump version: 1.3.1 → 1.3.2

v1.3.1

Bump version: 1.3.0 → 1.3.1

v1.3.0

Fix travis config

v1.2.3

Bump version 1.2.2 -> 1.2.3

v1.2.2

Bump version 1.2.1 -> 1.2.2

v1.2.1

Fix flake8 issue in training_statistics

v1.2.0.post2

Bump version 1.2.0 -> 1.2.0.post2

v1.2.0

Bump version 1.1.0 -> 1.2.0

v1.1.0

Additions & Improvements

• Added functions real and imag to cplx sub-module

• Negative Log Likelihood has been added to the training_statistics submodule.

• Pauli observables can now optionally compute the absolute magnetization of a chain

• Can now get data from MetricEvaluator and ObservableEvaluator using list/dictionary subscripting syntax. See the "Training" section of Tutorial 1 for more details.

Fixes

• RenyiEntropy observable has been replaced by SWAP observable, as the old implementation produced biased samples. See the corresponding section of Tutorial 3 for more details on how to use the SWAP observable to compute the 2nd Renyi Entropy.

Misc

• Refined dependency requirements:
  • Maximum supported PyTorch version set to 1.2 (doesn't exist yet, restriction exists just for safety). Minimum version is still 1.0
  • Latest version of matplotlib no longer supports Python 3.5, thus, the maximum supported matplotlib version for systems running Python 3.5 is version 3.1. Minimum version for all supported Python versions is still 2.2

v1.0.3

Bump version 1.0.2 -> 1.0.3