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quant-ph2025
K-P Quantum Neural Networks
Elija Perrier
We present an extension of K-P time-optimal quantum control solutions using global Cartan decompositions for geodesic-based solutions. Extending recent time-optimal constant-…
quant-ph2024
Quantum Geometric Machine Learning
Elija Perrier
The use of geometric and symmetry techniques in quantum and classical information processing has a long tradition across the physical sciences as a means of theoretical discovery a…
quant-ph2020
Quantum Geometric Machine Learning for Quantum Circuits and Control
Elija Perrier, Christopher Ferrie, Dacheng Tao
The application of machine learning techniques to solve problems in quantum control together with established geometric methods for solving optimisation problems leads naturally to…