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quant-ph2026
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…
quant-ph2026
Cross-Platform Benchmarking of Near-Term Quantum Optimisation Algorithms
Kieran McDowall, Theodoros Kapourniotis, Christopher Oliver +2
Quantum computers show potential for achieving computational advantage over classical computers, with many candidate applications in combinatorial optimisation. We present an appli…
quant-ph2025
The Born Ultimatum: Conditions for Classical Surrogation of Quantum Generative Models with Correlators
Mario Herrero-Gonzalez, Brian Coyle, Kieran McDowall +4
Quantum Circuit Born Machines (QCBMs) are powerful quantum generative models that sample according to the Born rule, with complexity-theoretic evidence suggesting potential quantum…