8 citations · 12 across the 13 of their papers we have counts for
8 papers · 1 filter
Quantum approximate stochastic combinatorial optimisation
Edric Matwiejew, Paulo E. Santos, Jingbo B. Wang +1
Two-stage stochastic combinatorial optimisation concerns discrete decisions made before all relevant information is known. An initial decision is made; once uncertainty is resolved…
QSimAdv: A Late-Bound, Vendor-Agnostic Architecture for High-Performance Quantum-Circuit Simulation
Shusen Liu, Pascal Jahan Elahi, Wenyun Sun +3
Portability in high-performance quantum-circuit simulation need not begin at the kernel. We present QSimAdv, which makes late binding, rather than a common kernel, the basis of ven…
Quantum walk-based optimisation for capacitated vehicle routing with homogeneous and heterogeneous fleets
Edric Matwiejew, Aidan Smith, Callum Neill +3
The capacitated vehicle routing problem (CVRP) is an appealing candidate for quantum optimisation due to its combinatorial complexity and practical importance. However, the problem…
Distributed Variational Quantum Optimisation by Entanglement-Selective Transport
Edric Matwiejew, Pascal Elahi, Ugo Varetto
Distributed quantum optimisation is challenging because computing the problem cost function across multiple quantum processors requires non-local gates, which can incur overhead in…
HPC-vQPU: A Service-Export Architecture for Virtual QPUs on Batch-Scheduled HPC Systems
Shusen Liu, Pascal Jahan Elahi, Ugo Varetto
Device-aware quantum simulation increasingly requires HPC-scale accelerators, yet secure supercomputers expose batch-scheduled execution environments rather than the interactive, b…
Quantum Reservoir Computing with Neutral Atoms on a Small, Complex, Medical Dataset
Luke Antoncich, Yuben Moodley, Ugo Varetto +5
Biomarker-based prediction of clinical outcomes is challenging due to nonlinear relationships, correlated features, and the limited size of many medical datasets. Classical machine…
Accelerating cosmological simulations on GPUs: a step towards sustainability and green-awareness
Giovanni Lacopo, Marius Daniel Lepinzan, David Goz +7
The increasing complexity and scale of cosmological N-body simulations, driven by astronomical surveys like Euclid, call for a paradigm shift towards more sustainable and energy-ef…
DynQ: A Dynamic Topology-Agnostic Quantum Virtual Machine via Quality-Weighted Community Detection
Shusen Liu, Pascal Jahan Elahi, Ugo Varetto
Quantum cloud platforms have scaled hardware capacity but not the abstraction exposed to users: small programs still monopolise entire processors, and existing Quantum Virtual Mach…