Quantum computer emulator - Perceval v0.7.3

[mhrng]

Context : Quandela Perceval is a quantum photonic development toolkit. More information: https://www.quandela.com/perceval/

User story

As a developer/physicist/researcher, I would like to have access to an up-to-date Quandela's Perceval image (v0.7.3) on AI Notebooks that can run quantum algorithms by simulating optical processors on OVHcloud

in order to do quantum computing research directly on the cloud.

Improvements

• Improved photonic source model This change is breaking the Source class API. See https://perceval.quandela.net/docs/legacy.html for code adaptation.
• Job name is customizable
• RemoteProcessor and local Processor now share a common API
• A BSCount object (basic state count) can now be used in pdisplay

Bug fixes

• Fixed several issues with simulation backends returning wrong results when an unexpected state was passed as input
• Fixed StateVector not auto-normalizing before checking equality with others
• Fixed an issue with processor not correctly refreshing their circuit when a new value was set in a variable parameter
• Fixed an issue preventing RemoteJob from being canceled programmatically

Acceptance criteria

• I have access to a quantum computing simulator on OVHcloud
• I can launch Quandela's Perceval experimental image on AI Notebooks and it is up-to-date (v0.7.3) (more : https://perceval.quandela.net/docs/ )
• Ability to use via UI, CLI or API
• Ability to deploy framework on CPUs or GPUs
• Ability to use with Jupyterlab and VS Code

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[mhrng]

For information, Perceval v0.7.2 has been released previously on AI Notebooks with the following features:

• A new RemoteProcessor enables to run quantum algorithms on remote simulators and QPUs
• The Processor has been improved It aims at simulating an optical circuit in real world conditions (thresholded detections, performance computation, etc.) It is able to handle non-unitary components: time delays TD and channel loss LC Port encoding has been introduced to allow logical state inputs
• Sampler algorithm can convert sampling results on the fly between probabilities, sample counts, and an ordered list of samples
• New Matrix Product State backend
• A serialization system enables to save and load Perceval objects without recomputing them
• Circuit rendering skin system
• A simplify function can reduce the complexity of some circuits
• Introduce Job for synchronous/asynchronous handling of local/remote computations
• Automated benchmarking

Improvements

• BasicState class now holds photon annotation
• Optimized stepper computation
• Beam splitter component BS supports different conventions (Hadamard, Rotation x, Rotation y)
• Optimized circuit rendering
• Processor rendering hides heralded modes for readability
• A sub-component can be accessed in a circuit via the bracket ([ ]) operator
• StateVector supports tensor products

There are also bug fixes + beware of breaking changes!