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Brian Coyle
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Journal Articles
- 2022
- [j4]Ieva Cepaite
, Brian Coyle
, Elham Kashefi:
A continuous variable Born machine. Quantum Mach. Intell. 4(1) (2022) - [j3]Nishant Jain
, Brian Coyle
, Elham Kashefi, Niraj Kumar
:
Graph neural network initialisation of quantum approximate optimisation. Quantum 6: 861 (2022) - 2021
- [j2]Chiara Leadbeater
, Louis Sharrock
, Brian Coyle
, Marcello Benedetti
:
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits. Entropy 23(10): 1281 (2021) - 2019
- [j1]Brian Coyle
, Elham Kashefi, Matty J. Hoban:
Certified Randomness From Steering Using Sequential Measurements. Cryptogr. 3(4): 27 (2019)
Conference and Workshop Papers
- 2018
- [c1]Brian Coyle
, Matty J. Hoban, Elham Kashefi:
One-Sided Device-Independent Certification of Unbounded Random Numbers. PC@UCNC 2018: 14-26
Informal and Other Publications
- 2024
- [i11]Brian Coyle, El Amine Cherrat, Nishant Jain, Natansh Mathur, Snehal Raj, Skander Kazdaghli, Iordanis Kerenidis:
Training-efficient density quantum machine learning. CoRR abs/2405.20237 (2024) - 2022
- [i10]Brian Coyle:
Machine learning applications for noisy intermediate-scale quantum computers. CoRR abs/2205.09414 (2022) - 2021
- [i9]Marcello Benedetti, Brian Coyle, Mattia Fiorentini
, Michael Lubasch, Matthias Rosenkranz:
Variational inference with a quantum computer. CoRR abs/2103.06720 (2021) - [i8]Chiara Leadbeater, Louis Sharrock, Brian Coyle, Marcello Benedetti:
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits. CoRR abs/2110.04253 (2021) - [i7]Nishant Jain, Brian Coyle, Elham Kashefi, Niraj Kumar:
Graph neural network initialisation of quantum approximate optimisation. CoRR abs/2111.03016 (2021) - [i6]Armando Angrisani, Brian Coyle, Elham Kashefi:
Probably approximately correct quantum source coding. CoRR abs/2112.06841 (2021) - 2020
- [i5]Ryan LaRose, Brian Coyle:
Robust data encodings for quantum classifiers. CoRR abs/2003.01695 (2020) - [i4]Brian Coyle, Maxwell Henderson, Justin Chan Jin Le, Niraj Kumar, Marco Paini, Elham Kashefi:
Quantum versus Classical Generative Modelling in Finance. CoRR abs/2008.00691 (2020) - [i3]Brian Coyle, Elham Kashefi, Matty Hoban:
Certified Randomness From Steering Using Sequential Measurements. CoRR abs/2008.00705 (2020) - [i2]Brian Coyle, Mina Doosti
, Elham Kashefi, Niraj Kumar:
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis. CoRR abs/2012.11424 (2020) - 2019
- [i1]Brian Coyle
, Daniel Mills, Vincent Danos, Elham Kashefi:
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine. CoRR abs/1904.02214 (2019)
Coauthor Index
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