Trainable parameters for gates acting in StrawberryFields GKP states

Photonic Software Strawberry Fields
1

I’m trying to reproduce an algorithm using qubits for the CV context using GKP states in StrawberryFields.

In this article Photonic quantum computers | PennyLane Demos, a universal set of qubit analog gates (T, CNOT, Control-Z, Hadamard, PauliX, PauliZ) is presented.

For my problem I need two things:

  1. Gates analogous to X and Z rotations.

  2. That the parameters of these rotations are trainable.

For me it is clear how to derive the rotations from the universal set, for example, for a specific rotation theta.

But it gets messy when I consider putting a theta as a trainable parameter.

Am I missing something or is it really messed up?

Thank you very much.

2

Hi @ramses , there’s no CV analogous gates.

GKP states are formed by using CV but they follow the math of qubits instead, so I’d recommend working only in the regime of the gate-based model.

I’d recommend this demo on measurement-based quantum computing if you’re interested in how this works.

I hope this helps!