activity
20192026
most citedCo-citations in context: disciplinary heterogeneity is relevant

15 citations · 15 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Non-Unitary Quantum Butterfly Effect: Theory and Experiment

Paul Argyle, Djamil Lakhdar-Hamina, Sarah H. Miller +1

We present a generalization of the out of time order correlator (OTOC) for non-unitary systems. For a Haar-random brickwork qudit-circuit, peppered with local, projective measureme…

quant-ph2026

Measurement-Induced Quantum Neural Network

Paul Argyle, Djamil Lakhdar-Hamina, Sarah H. Miller +1

We introduce a measurement-induced quantum neural network (MINN), an adaptive monitored-circuit architecture in which mid-circuit measurement outcomes determine the entangling gate…

quant-ph2025

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.…

quant-ph2025

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…

cs.DL2019★ 15 cited

Co-citations in context: disciplinary heterogeneity is relevant

James Bradley, Sitaram Devarakonda, Avon Davey +5

Citation analysis of the scientific literature has been used to study and define disciplinary boundaries, to trace the dissemination of knowledge, and to estimate impact. Co-citati…