3 papers
quant-ph2026
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…
quant-ph2025
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…
quant-ph2025
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…