359 citations · 2.1k across the 29 of their papers we have counts for
29 papers
Backpropagation scaling in parameterised quantum circuits
Joseph Bowles, David Wierichs, Chae-Yeun Park
The discovery of the backpropagation algorithm ranks among one of the most important moments in the history of machine learning, and has made possible the training of large-scale n…
Contextuality and inductive bias in quantum machine learning
Joseph Bowles, Victoria J Wright, Máté Farkas +2
Generalisation in machine learning often relies on the ability to encode structures present in data into an inductive bias of the model class. To understand the power of quantum ma…
Quantum networks self-test all entangled states
Ivan Šupić, Joseph Bowles, Marc-Olivier Renou +2
Certifying quantum properties with minimal assumptions is a fundamental problem in quantum information science. Self-testing is a method to infer the underlying physics of a quantu…
Device-independent and semi-device-independent entanglement certification in broadcast Bell scenarios
Emanuel-Cristian Boghiu, Flavien Hirsch, Pei-Sheng Lin +2
It has recently been shown that by broadcasting the subsystems of a bipartite quantum state, one can activate Bell nonlocality and significantly improve noise tolerance bounds for…
Quadratic Unconstrained Binary Optimisation via Quantum-Inspired Annealing
Joseph Bowles, Alexandre Dauphin, Patrick Huembeli +2
We present a classical algorithm to find approximate solutions to instances of quadratic unconstrained binary optimisation. The algorithm can be seen as an analogue of quantum anne…
Avoiding local minima in Variational Quantum Algorithms with Neural Networks
Javier Rivera-Dean, Patrick Huembeli, Antonio Acín +1
Variational Quantum Algorithms have emerged as a leading paradigm for near-term quantum computation. In such algorithms, a parameterized quantum circuit is controlled via a classic…