12 citations · 23 across the 6 of their papers we have counts for
6 papers
Quantum Optimisation for Protein-Protein Interaction Network Alignment
Merle Stahl, Robert J. Banks, Matthias Traube +4
Protein-protein interaction (PPI) network alignment combines topological and sequence information to identify conserved modules across species, but global alignment remains challen…
Qudit extension of parameterized IQP circuits: A generative quantum machine learning approach to integer data
Robert J. Banks, Arianna Crippa, Matthias Traube +3
Parameterized Instantaneous Quantum Polynomial (IQP) circuits have proven useful in quantum generative learning models, particularly for binary distributions. However, when applied…
Gadgets for simulating a non-native interaction in quantum annealing
Robert J. Banks, Natasha Feinstein, Roopayan Ghosh +2
In certain scenarios, quantum annealing can be made more efficient by additional interactions. It has been shown that the additional interactions can reduce the scaling of per…
Continuous-time quantum optimisation without the adiabatic principle
Robert J. Banks, Georgios S. Raftis, Dan E. Browne +1
Continuous-time quantum algorithms for combinatorial optimisation problems, such as quantum annealing, have previously been motivated by the adiabatic principle. A number of contin…
Continuous-time quantum walks for MAX-CUT are hot
Robert J. Banks, Ehsan Haque, Farah Nazef +21
By exploiting the link between time-independent Hamiltonians and thermalisation, heuristic predictions on the performance of continuous-time quantum walks for MAX-CUT are made. The…
Rapid quantum approaches for combinatorial optimisation inspired by optimal state-transfer
Robert J. Banks, Dan E. Browne, P. A. Warburton
We propose a new design heuristic to tackle combinatorial optimisation problems, inspired by Hamiltonians for optimal state-transfer. The result is a rapid approximate optimisation…