15 papers
Verifiable End-to-End Delegated Variational Quantum Algorithms
Matteo Inajetovic, Petros Wallden, Anna Pappa
Variational quantum algorithms (VQAs) have emerged as promising candidates for solving complex optimization and machine learning tasks on near-term quantum hardware. However, execu…
Quantum Elastic Network Models and their Application to Graphene
Ioannis Kolotouros, Adithya Sireesh, Stuart Ferguson +3
Molecular dynamics simulations are a central computational methodology in materials design for relating atomic composition to mechanical properties. However, simulating materials w…
Spectral Gap Informed Ramp QAOA
Kieran McDowall, Konstantinos Georgopoulos, Petros Wallden
A challenge with the Quantum Approximate Optimisation Algorithm (QAOA), and variational algorithms in general, is finding good variational parameters, a task which in itself can be…
Benincasa-Dowker-Glaser causal set actions by quantum counting
Sean A. Adamson, Petros Wallden
Causal set theory is an approach to quantum gravity in which spacetime is fundamentally discrete while retaining local Lorentz invariance. The Benincasa-Dowker-Glaser action is the…
Circuit Harmonic Matrices: A Spectral Framework for Quantum Machine Learning
Kyle James Stuart Campbell, Luigi Del Debbio, Petros Wallden
Parametrised quantum circuits are a central framework for near term quantum machine learning. However, it remains challenging to determine in advance how architectural choices, suc…
Methods for non-variational heuristic quantum optimisation
Stuart Ferguson, Petros Wallden
Optimisation plays a central role in a wide range of scientific and industrial applications, and quantum computing has been widely proposed as a means to achieve computational adva…