v0.12.0 - The Bleeding Lance

New features

• Feed-forward local simulation
  You can now build a Processor containing detectors and feed-forward controllers configuring unitary circuits and obtain strong simulation results!
  See: https://perceval.quandela.net/docs/notebooks/Quantum_teleportation_feed_forward.html
  See also: https://perceval.quandela.net/docs/reference/feed_forward_configurator.html

• Detector imperfections can now be simulated.
  Four different types of detectors are currently supported:

  • Photon number resolving (PNR) perfect detectors,
  • Threshold detectors,
  • Interleaved pseudo-PNR detectors,
  • Pseudo-PNR detectors using layers of beam splitters and threshold detectors.

• A new job management system helps you group jobs, check statuses and retrieve results.
  See: https://perceval.quandela.net/docs/reference/job_group.html

• A new strong simulation back-end is available: SLAP.
  See: https://perceval.quandela.net/docs/backends.html#slap

• New usage example - Quantum kernel methods
  See: https://perceval.quandela.net/docs/notebooks/quantum_kernel_methods.html

• Resource estimator for gate-based conversion, supporting dual rail and qudit encodings.

• A TVD function between probability distributions.

Improvements

• Perceval now supports Python 3.13.
• PostSelect syntax now supports nested logical expressions of 'and', 'or', 'xor' and 'not' operators.
• Gate-based circuits to linear optics converters now save heralded photons (by using as many post-selected CNOT as possible).
• Strong simulation now automatically uses heralds to mask the Fock space when possible, saving computation time and memory.
• Failed and cancelled jobs may now be programmatically restarted.
• Barrier components can now be invisible (used only for alignments).
• Improved circuit rendering.
• DisplayConfig enabling to select a rendering skin can now be persistent.
• Modernized some example notebooks.

Bug fixes

• Tensor product between BasicState and SVDistribution now always succeeds

Other information & known issues

• Python 3.8 is no longer supported.
• Perceval is compatible with both numpy versions 1 and 2. However, installing a fresh Perceval, then a dependency requiring numpy<2 may result in a pip conflict. If it happens, try to install them both in a single pip command.
• You may have to update pip and setuptools to the latest version before installing Perceval in a Python 3.13 virtual environment.

See syntax changes here: https://perceval.quandela.net/docs/v0.12/legacy.html
You can contact us on the Perceval forum