Showing quant-phShow all
3 papers · 1 filter
quant-ph2026
Spectral Born machines: classically trainable quantum generative models for discrete data
Austin Huang, William Maxwell, Vasilis Belis +4
We present \emph{spectral Born machines}, a class of quantum generative models that results from viewing and generalizing the class of IQP Born machines through the lens of group F…
quant-ph2025
Learning out-of-time-ordered correlators with classical kernel methods
John Tanner, Jason Pye, Jingbo Wang
Out-of-Time Ordered Correlators (OTOCs) are widely used to investigate information scrambling in quantum systems. However, directly computing OTOCs with classical computers is an e…
quant-ph2024
Gravitational-wave matched filtering with variational quantum algorithms
Jason Pye, Edric Matwiejew, Aidan Smith +3
In this paper, we explore the application of variational quantum algorithms designed for classical optimization to the problem of matched filtering in the detection of gravitationa…