3 papers
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
Proof of Hiding Conjecture in Gaussian Boson Sampling
Laura Shou, Sarah H. Miller, Victor Galitski
Gaussian boson sampling (GBS) is a promising protocol for demonstrating quantum computational advantage. One of the key steps for proving classical hardness of GBS is the so-called…
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.…