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Sounds good @musfarmuhamed, from a quick look it seems like you will have to implement a Gibbs state preparation as part of the algorithm. This is a non-trivial task in itself :-) .
Please note that we accept high-quality implementations in our repository and will be glad to accept a contribution that meets our standards.
Feel free to contact the community if you have any questions.
Paper Link
arXiv:2502.17562v1
Summary
This paper introduces semi-quantum restricted Boltzmann machines (sqRBMs), a hybrid quantum-classical model that combines:
Key contributions:
sqRBM_{n,m} ≡ RBM_{n,3m}
.Implementation Tasks
Model Hamiltonian Encoding
Z⊗X/Y/Z
couplings between visible and hidden units.Gibbs State Preparation
e^{-βH}/Z
.Gradient Computation
Training Loop
Benchmarking
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