860 citations · 3.6k across the 64 of their papers we have counts for
63 papers
Geometry-Only CSL/DP Ratios and the Nonuniqueness of Decoherence Kernels
Randy Davila, Gerard J. Milburn
We study idealized levitated protocols that create spatial superpositions of massive test particles. For each protocol, we compare the dimensionless contrast-loss exponent of mass-…
Training single-electron and single-photon stochastic physical neural networks
Tong Dou, Shiro Kumara, Josh Burns +6
The computational demands of deep learning motivate the investigation of alternative approaches to computation. One alternative is physical neural networks~(PNNs), in which learnin…
A Kerr kernel quantum learning machine
Carolyn Wood, Sally Shrapnel, G J Milburn
Kernel methods are of current interest in quantum machine learning due to similarities with quantum computing in how they process information in high-dimensional feature (Hilbert)…
Photonic Quantum Computing
Jacquiline Romero, Gerard Milburn
Photonic quantum computation refers to quantum computation that uses photons as the physical system for doing the quantum computation. The field is largely divided between discrete…
MAQRO -- BPS 2023 Research Campaign Whitepaper
Rainer Kaltenbaek, Markus Arndt, Markus Aspelmeyer +43
The objective of the proposed MAQRO mission is to harness space for achieving long free-fall times, extreme vacuum, nano-gravity, and cryogenic temperatures to test the foundations…
Fast macroscopic-superposition-state generation by coherent driving
Emi Yukawa, G. J. Milburn, Kae Nemoto
We propose a scheme to generate macroscopic superposition states in spin ensembles, where a coherent driving field is applied to accelerate the generation of macroscopic superposit…