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An open source framework for programming photonic quantum computers

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Currently Perceval uses float64 as a default for storing parameters. For simulation with increasing number of modes/photons, this induces a natural 2x slowdown for numerical precision beyond any QPU native...

**Describe the bug** Perceval has a renderer at the `Circuit` or the `Processor` level allowing to generate svg or png through matplotlib library. At the processor level, it is possible...

The Perceval framework had provided error models for the overall circuit by adding multiphoton component in the source laser beam. But it would be better if there is a noise...

Perceval allows to use same parameter object in multiple components of the circuit to give uniform access to the identical components in the circuit. But when copying the circuit, components...

Create a Perceval - PennyLane plugin so that Quandela's QPU is an available device to run quantum algorithms from PennyLane. See: https://pennylane.ai/plugins/