3 papers
cs.CV2024
Robust Fitting on a Gate Quantum Computer
Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
Gate quantum computers generate significant interest due to their potential to solve certain difficult problems such as prime factorization in polynomial time. Computer vision rese…
cs.CV2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
Maximilian Krahn, Michele Sasdelli, Fengyi Yang +4
We present, QP-SBGD, a novel layer-wise stochastic optimiser tailored towards training neural networks with binary weights, known as binary neural networks (BNNs), on quantum hardw…
cs.LG2023
Training Multilayer Perceptrons by Sampling with Quantum Annealers
Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
A successful application of quantum annealing to machine learning is training restricted Boltzmann machines (RBM). However, many neural networks for vision applications are feedfor…