2 citations · 2 across the 1 of their papers we have counts for
5 papers
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…
Machine learning assisted tracking of magnetic objects using quantum diamond magnetometry
Fernando Meneses, Christopher T. -K. Lew, Anand Sivamalai +5
Remote magnetic sensing can be used to monitor the position of objects in real-time, enabling ground transport monitoring, underground infrastructure mapping and hazardous detectio…