13 citations · 23 across the 4 of their papers we have counts for
4 papers
Practical learning of multi-time statistics in open quantum systems
Gregory A. L. White, Lloyd C. L. Hollenberg, Charles D. Hill +1
Randomised measurements can efficiently characterise many-body quantum states by learning the expectation values of observables with low Pauli weights. In this paper, we generalise…
Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components
Peiyong Wang, Casey. R. Myers, Lloyd C. L. Hollenberg +1
Artificial Intelligence (AI), with its multiplier effect and wide applications in multiple areas, could potentially be an important application of quantum computing. Since modern A…
Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers
Peiyong Wang, Casey R. Myers, Lloyd C. L. Hollenberg +1
When applying quantum computing to machine learning tasks, one of the first considerations is the design of the quantum machine learning model itself. Conventionally, the design of…
Non-Unitary Quantum Machine Learning
Jamie Heredge, Maxwell West, Lloyd Hollenberg +1
We introduce several probabilistic quantum algorithms that overcome the normal unitary restrictions in quantum machine learning by leveraging the Linear Combination of Unitaries (L…