v5.0.1

What's Changed

Fixed

• Windows binary wheel packaging.

v5.0.0

What's Changed

Added

• get_purity in *FockState for calculating the purity.
• PostSelectPhotons and ImperfectPostSelectPhotons for PureFockSimulator and
  SamplingSimulator.
• Beamsplitter5050 support.
• SamplingState.state_vector, analog of *FockState.state_vector.
• JAX support for SamplingSimulator.
• Support for multiple occupation numbers in SamplingSimulator.
• PureFockState.get_particle_detection_probability_on_modes, which is similar to
  get_particle_detection_probability, but for the specified modes.
• HomodyneMeasurement support for PureFockSimulator.
• cvqnn.get_cvqnn_weight_indices is created, which enables slicing of the weights when
  needed.
• PureFockState.variance_photon_number for calculating the variance of the photon
  number operator.
• Partial JAX support for GaussianSimulator.
• GaussianState.get_threshold_detection_probability.
• Python 3.12 support.
• Support for ParticleNumberMeasurement in GaussianSimulator with the config
  use_torontonian=True and displaced Gaussian states.
• Config.validate flag. If set to validate=False, validations are skipped, possibly
  enabling minor speed-up or JIT compilation.
• piquasso.fermionic package with support for fermionic Gaussian states.
• Support for differentiable GaussianState.get_particle_detection_probability.

Fixed

• Simulator.execute with initial_state specified while using tf.function.
• GaussianSimulator random number generation from Config.rng.
• Error message formatting in Simulator.
• Beamsplitter default parameters.
• fock_probabilities differentiability in PureFockSimulator.
• SamplingState.fock_probabilities returns with probabilities corresponding to all
  particle number sectors.

Breaking changes

• Delete unused attributes in SamplingState.
• Clements decomposition rewritten.
• The original RNG is kept when a Config is copied. This is done to prevent unexpected
  behaviour with seeded calculations.
• The config variable Config.normalize is deleted. For the same result, one can call
  State.normalize at the end of the calculations.
• Simulator._default_calculator_class initial value got deleted to avoid confusion.
• Renamed Calculator to Connector and corresponding names containing the term
  calculator, referring to the original Calculator class (e.g.,
  _default_calculator_class -> _default_connector_class).
• BaseConnector (former BaseCalculator) rewritten as an abstract class.
• Added/updated __repr__ methods for all classes in the Piquasso API.

Performance improvements

• Hafnian, loop hafnian, torontonian and permanent implementations replaced with faster
  implementations. The torontonian calculation is written in C++, and is distributed in
  the wheels alongside the Python code.
• Faster FockState.norm.
• Faster SamplingState.get_particle_detection_probability.
• JIT compilation of passive linear gates in *FockSimulator.
• Common Fock-space related calculations got rewritten, JIT compilation enabled.
• More efficient sampling algorithms for BS and GBS simulations.

New Contributors

• @czaba7 made their first contribution in #307
• @dependabot made their first contribution in #355

Full Changelog: 4.0.0...v5.0.0

v4.0.0

Added

• Python 3.11 support.
• Purification of Gaussian states.
• PureFockState.get_tensor_representation for embeddng the state vector into
  a tensor with rank equal to the number of modes.
• Batch processing of pure Fock states.
• CVQNN module.
• Support for tf.function in PureFockSimulator.
• Supporting JAX in PureFockSimulator.

Fixed

• Error in custom gradient of passive linear gates in PureFockSimulator.

Breaking changes

• Python 3.7 support dropped.
• TensorflowPureFockSimulator has been deleted. Instead, one can use
  PureFockSimulator with TensorflowCalculator specified.
• Printing format of Fock states have been changed.
• Renamed _state_vector to state_vector.

3.0.0

Added

• dtype configuration variable in Config to set precision of calculations.
• Kerr gate calculation in PureFockSimulator performance improved.
• Gradient calculation in TensorflowPureFockSimulator got improved.
• A method called PureFockState.mean_position which calculates the average position
  in a specified mode.
• normalize configuration variable in Config to enable/disable normalization of
  states PureFockSimulator and FockSimulator.

Changed

• Displacement parametrization is simplified.
• The autoscaling of single mode gates got deleted.

Fixed

• Vacuum state typing issue fixed in PureFockSimulator.
• Calculation error during gradient calculation.

2.2.0

Changed

• Several major performance improvements got implemented in
  TensorflowPureFockSimulator.

Fixed

• quantum-blackbird version got bumped for numpy compatibility.
• Kerr gate was applied with a wrong equation, it got corrected.
• Typing error was fixed when applying Interferometer in
  TensorflowPureFockSimulator.

2.1.0

Added

• Performance increase for the PureFockSimulator and TensorflowPureFockSimulator.

Fixed

• GaussianState.fidelity gave incorrect results for multiple modes and it
  needed to be corrected.
• During Williamson decomposition, sometimes scipy.linalg.sqrtm returned with
  complex matrices instead of real ones which caused problems so it is manually
  casted to real.
• In TensorflowPureFockSimulator, the gradient of the displacement gate
  matrix was not applied properly to the upstream gradient, a conjugation is
  added.
• Using TensorflowPureFockSimulator, the input of the Interferometer gate
  was not converted to a tensorflow.Tensor automatically, which has been
  included.

2.0.1

[2.0.1] - 2022-11-03

Fixed

• GaussianState.fidelity gave incorrect results for multiple modes and it
  needed to be corrected.

2.0.0

Added

• A simulator class called TensorflowPureFockSimulator, which uses Tensorflow
  and is able to calculate gradients.

Changed

• By enabling Tensorflow support, we dropped support for customizing the
  permanent, hafnian and loop hafnian calculations through Config.

Fixed

• SamplingSimulator along with Loss using uniform transmissivity
  (transmittance) parameters and ParticleNumberMeasurement produced only-zero
  samples instead of the expected samples.

Release 1.0.0

What's Changed

• feat(config): Moving reduction to loop hafnian + feat(gaussian): Hafnian and loop hafnian cases by @Kolarovszki in #160
• dev: Bumping black to non-beta version by @Kolarovszki in #162
• docs: Documentation fixes by @Kolarovszki in #161
• docs: Documentation fixes by @Kolarovszki in #163
• feat(gates): Rename *BogoliubovTransformation by @Kolarovszki in #164
• feat(measurements): Delete Sampling by @Kolarovszki in #165
• Update README.md by @antalszava in #166
• feat(sampling): TransmissivityMatrix by @Kolarovszki in #167
• fix(requirements.txt): Bumping black version by @Kolarovszki in #169
• feat(sampling): Rename TransmissivityMatrix by @Kolarovszki in #168
• feat(api): Rename errors to exceptions by @Kolarovszki in #170
• Remove unused dependencies, reformat requirements.txt, and fix documentation by @boldar99 in #173
• Check IPython notebook executability and flake8 tests. by @boldar99 in #174
• perf(benchmarks): Additional pure Fock benchmarks by @Kolarovszki in #172
• FIX(clements): Handling 0 matrix elements by @Kolarovszki in #175
• FIX(fock): Symmetric tensorpower ordering by @Kolarovszki in #176
• chore: Update copyright by @Kolarovszki in #179
• feat: Reversing occupation number order by @Kolarovszki in #180
• Fix documentation by @boldar99 in #182
• Support for Python 3.10 by @boldar99 in #181
• fix(FockSimulator): Wrong auxiliary modes in calculation by @Kolarovszki in #184
• feat(fock): Attenuator support by @Kolarovszki in #185
• fix(Kerr): Kerr gate scaling by @Kolarovszki in #188
• bump: 0.8 -> 1.0.0 by @Kolarovszki in #190

New Contributors

• @antalszava made their first contribution in #166

Full Changelog: 0.8.1...1.0.0