activity
20222026
most citedQuantum Computing Calculations for Nuclear Structure and Nuclear Data

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

nucl-th2026

Bayesian calibration of a regional optical potential and uncertainty-quantified predictions for compound nucleus reactions

Samuel Sullivan, Kyle Beyer, Filomena Nunes +3

Uncertainty-quantified global optical potential parameterizations are useful for making systematic studies across the nuclear chart and making predictions away from stability. Whil…

quant-ph2026

Fault-tolerant quantum algorithms for simulating atomic nuclei

James Benstead, Michael Garn, Neil Gaspar +5

To maximize the value of fault-tolerant quantum computers, it is essential to develop concrete applications beyond well-established domains such as chemistry and condensed-matter p…

quant-ph2024

Variance Minimisation of the Lipkin-Meshkov-Glick Model on a Quantum Computer

Isaac Hobday, Paul Stevenson, James Benstead

Quantum computing can potentially provide advantages for specific computational tasks. The simulation of fermionic systems is one such task that lends itself well to quantum comput…

quant-ph2022★ 1 cited

Variance minimisation on a quantum computer for nuclear structure

Isaac Hobday, Paul Stevenson, James Benstead

Quantum computing opens up new possibilities for the simulation of many-body nuclear systems. As the number of particles in a many-body system increases, the size of the space if t…

nucl-th2022★ 1 cited

Quantum Computing Calculations for Nuclear Structure and Nuclear Data

Isaac Hobday, Paul D Stevenson, James Benstead

Model calculations of nuclear properties are peformed using quantum computing algorithms on simulated and real quantum computers. The models are a realistic calculation of deuteron…