1 citations · 1 across the 6 of their papers we have counts for
6 papers
Quantum-stabilized patterns in a vector Hopfield network
Richard D. Barney, Sharba Bhattacharjee, Victor Galitski +2
We introduce the quantum vector Hopfield network, in which patterns are formed by orientations of quantum vector spins; quantum dynamics arise intrinsically from the non-commutativ…
Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware
Djamil Lakhdar-Hamina, Xingxin Liu, Richard Barney +4
We implement a quantum generalization of a neural network on trapped-ion and IBM superconducting quantum computers to classify MNIST images, a common benchmark in computer vision.…
Natural Quantization of Neural Networks
Richard Barney, Djamil Lakhdar-Hamina, Victor Galitski
We propose a natural quantization of a standard neural network, where the neurons correspond to qubits and the activation functions are implemented via quantum gates and measuremen…
Slow Relaxation in a Glassy Quantum Circuit
Richard D. Barney, Yunxiang Liao, Victor Galitski
Quantum circuits have become a powerful tool in the study of many-body quantum physics, providing insights into both fast-thermalizing chaotic and non-thermalizing integrable many-…
Neural Networks as Spin Models: From Glass to Hidden Order Through Training
Richard Barney, Michael Winer, Victor Galitski
We explore a one-to-one correspondence between a neural network (NN) and a statistical mechanical spin model where neurons are mapped to Ising spins and weights to spin-spin coupli…
The Glass Transition of Quantum Hard Spheres in High Dimensions
Michael Winer, Christopher L. Baldwin, Richard Barney +2
We study the equilibrium thermodynamics of quantum hard spheres in the infinite-dimensional limit, determining the boundary between liquid and glass phases in the temperature-densi…