2 citations · 2 across the 1 of their papers we have counts for
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Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms
Floyd M. Creevey, Jamie A. Heredge, Martin E. Sevior +1
The data encoding circuits used in quantum support vector machine (QSVM) kernels play a crucial role in their classification accuracy. However, manually designing these circuits po…
Fully convolutional 3D neural network decoders for surface codes with syndrome circuit noise
Spiro Gicev, Lloyd C. L. Hollenberg, Muhammad Usman
Artificial Neural Networks (ANNs) are a promising approach to the decoding problem of Quantum Error Correction (QEC), but have observed consistent difficulty when generalising perf…
What can unitary sequences tell us about multi-time physics?
Gregory A. L. White, Felix A. Pollock, Lloyd C. L. Hollenberg +2
Multi-time quantum processes are endowed with the same richness as multipartite states, including temporal entanglement and exotic causal structures. However, experimentally probin…
Quantum autoencoders using mixed reference states
Hailan Ma, Gary J. Mooney, Ian R. Petersen +2
One of the fundamental tasks in quantum information theory is quantum data compression, which can be realized via quantum autoencoders that first compress quantum states to low-dim…
Characterization of entanglement on superconducting quantum computers of up to 414 qubits
John F Kam, Haiyue Kang, Charles D Hill +2
As quantum technology advances and the size of quantum computers grow, it becomes increasingly important to understand the extent of quality in the devices. As large-scale entangle…
Truncated phase-based quantum arithmetic: error propagation and resource reduction
G. A. L. White, C. D. Hill, L. C. L. Hollenberg
There are two important, and potentially interconnecting, avenues to the realisation of large-scale quantum algorithms: improvement of the hardware, and reduction of resource requi…