4 citations · 4 across the 2 of their papers we have counts for
3 papers · 1 filter
Towards a scalable discrete quantum generative adversarial neural network
Smit Chaudhary, Patrick Huembeli, Ian MacCormack +3
We introduce a fully quantum generative adversarial network intended for use with binary data. The architecture incorporates several features found in other classical and quantum m…
Simulating Large PEPs Tensor Networks on Small Quantum Devices
Ian MacCormack, Alexey Galda, Adam L. Lyon
We systematically map low-bond-dimension PEPs tensor networks to quantum circuits. By measuring and reusing qubits, we demonstrate that a simulation of an square-latti…
Branching Quantum Convolutional Neural Networks
Ian MacCormack, Conor Delaney, Alexey Galda +2
Neural network-based algorithms have garnered considerable attention in condensed matter physics for their ability to learn complex patterns from very high dimensional data sets to…