71 citations · 115 across the 11 of their papers we have counts for
11 papers
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…
Exact calculation of entanglement negativity for a 1+1D massless scalar field using phase space methods
Jason Pye, Atharva Hingane, Robert H. Jonsson
Quantum fields exhibit a rich entanglement structure which is still not fully understood. In this work, we study the entanglement structure of the vacuum state of a massless scalar…
The negativity core of a 1+1D massless scalar quantum field
Jason Pye, Atharva Hingane, Robert H. Jonsson
Vacuum entanglement is a fundamental feature of quantum field theory exhibiting rich structure that is not completely understood. Here, we provide a complete characterization of th…
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…
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…
Quantum Optimisation for Continuous Multivariable Functions by a Structured Search
Edric Matwiejew, Jason Pye, Jingbo B. Wang
Solving optimisation problems is a promising near-term application of quantum computers. Quantum variational algorithms leverage quantum superposition and entanglement to optimise…
Lorentz-covariant sampling theory for fields
Jason Pye
Sampling theory is a discipline in communications engineering involved with the exact reconstruction of continuous signals from discrete sets of sample points. From a physics persp…
Covariant bandlimitation from Generalized Uncertainty Principles
Jason Pye
It is widely believed that combining the uncertainty principle with gravity will lead to an effective minimum length scale. A particular challenge is to specify this scale in a coo…
Impact of relativity on particle localizability and ground state entanglement
Maria Papageorgiou, Jason Pye
Can a relativistic quantum field theory be consistently described as a theory of localizable particles? There are many known issues with such a description, indicating an answer in…
A Universal Training Algorithm for Quantum Deep Learning
Guillaume Verdon, Jason Pye, Michael Broughton
We introduce the Backwards Quantum Propagation of Phase errors (Baqprop) principle, a central theme upon which we construct multiple universal optimization heuristics for training…
Locality and entanglement in bandlimited quantum field theory
Jason Pye, William Donnelly, Achim Kempf
We consider a model for a Planck scale ultraviolet cutoff which is based on Shannon sampling. Shannon sampling originated in information theory, where it expresses the equivalence…