qsim v0.7.1

This patch release adds the "bulk set" convenience operators from #268 for TFQ.

qsim v0.7.0

This version adds the following features:

• Trajectory simulation for noisy circuits (core qsim only)
• Arbitrary controlled gates in unitary_calculator
• initial_state support in qsimcirq

Additionally, the following issues are resolved in this version:

• Fixed numpy compatibility issue in qsimcirq
• Faster sampling in qsimcirq

qsim v0.6.0

This version adds the following features to core qsim:

• Gates can now have more than two qubits
• Arbitrary controlled gates are now supported
• Users can specify the maximum fused-gate size to tune performance

In addition, qsimcirq can now parse cirq.ControlledGate and any gate that defines its matrix representation.

qsim v0.6.0-dev+20201103

This is a dev release for testing TFQ integration (https://github.com/tensorflow/quantum). There is no associated pypi release.

The full 0.6.0 release is waiting on full-stack support (C++ and Python) for:

• arbitrary controlled gates (multiple control qubits targeting any valid gate)
• support and improved fusion behavior for gates with more than 2 qubits

qsim v0.5.1

Patches an issue with global_shift in qsimcirq (#214) and adds documentation fixes (#213).

qsim v0.5.0

This version refactors core qsim components in preparation for upcoming support of 3+ qubit gates; it also adds config files for displaying documentation on the upcoming devsite.

qsim v0.4.1

Identical to 0.4.0, but with the Python __version__ updated correctly.

qsim v0.4.0

This version primarily contains documentation improvements, along with the following features:

• Parameters (named variables for gate arguments) can now be used in qsimcirq
• QSimSimulator.run now defaults to QSimSimulator.simulate for circuits with only terminal measurements

qsim v0.3.1

This point release annotates certain statespace methods as const. There are no changes to the behavior of the methods themselves.

qsim v0.3.0

This version is compatible with TensorFlow Quantum, and includes the following features:

• Unitary support for TFQ
• Assorted utility methods
• SimulatesSamples support in qsimcirq
• Jupyter notebook tutorial for qsimcirq
• Continuous sanitizer testing and verified support for tcmalloc