2 citations · 3 across the 3 of their papers we have counts for
4 papers
Deterministic Tensor Network Classifiers
L. Wright, F. Barratt, J. Dborin +3
We present tensor networks for feature extraction and refinement of classifier performance. These networks can be initialised deterministically and have the potential for implement…
Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning
Fergus Barratt, James Dborin, Lewis Wright
Tensor networks have demonstrated significant value for machine learning in a myriad of different applications. However, optimizing tensor networks using standard gradient descent…
Matrix Product State Pre-Training for Quantum Machine Learning
James Dborin, Fergus Barratt, Vinul Wimalaweera +2
Hybrid Quantum-Classical algorithms are a promising candidate for developing uses for NISQ devices. In particular, Parametrised Quantum Circuits (PQCs) paired with classical optimi…
Dissipative failure of adiabatic quantum transport as a dynamical phase transition
Fergus Barratt, Aleix Bou Comas, Philip J. D. Crowley +3
Entanglement is the central resource in adiabatic quantum transport. Dephasing affects the availability of that resource by biasing trajectories, driving transitions between succes…