Brian Coyle

According to our database, Brian Coyle authored at least 12 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Graph neural network initialisation of quantum approximate optimisation.

Nishant Jain, Brian Coyle, Elham Kashefi, Niraj Kumar

Quantum, September, 2022

A continuous variable Born machine.

Ieva Cepaite, Brian Coyle, Elham Kashefi

Quantum Mach. Intell., 2022

Machine learning applications for noisy intermediate-scale quantum computers.

Brian Coyle

CoRR, 2022

2021

F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits.

Chiara Leadbeater, Louis Sharrock, Brian Coyle, Marcello Benedetti

Entropy, 2021

Probably approximately correct quantum source coding.

Armando Angrisani, Brian Coyle, Elham Kashefi

CoRR, 2021

Variational inference with a quantum computer.

Marcello Benedetti, Brian Coyle, Mattia Fiorentini, Michael Lubasch, Matthias Rosenkranz

CoRR, 2021

2020

Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis.

Brian Coyle, Mina Doosti, Elham Kashefi, Niraj Kumar

CoRR, 2020

Quantum versus Classical Generative Modelling in Finance.

Brian Coyle, Maxwell Henderson, Justin Chan Jin Le, Niraj Kumar, Marco Paini, Elham Kashefi

CoRR, 2020

Robust data encodings for quantum classifiers.

Ryan LaRose, Brian Coyle

CoRR, 2020

2019

Certified Randomness From Steering Using Sequential Measurements.

Brian Coyle, Elham Kashefi, Matty J. Hoban

Cryptogr., 2019

The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine.

Brian Coyle, Daniel Mills, Vincent Danos, Elham Kashefi

CoRR, 2019

2018

One-Sided Device-Independent Certification of Unbounded Random Numbers.

Brian Coyle, Matty J. Hoban, Elham Kashefi

Proceedings of the 9th International Workshop on Physics and Computation, 2018