26 citations · 86 across the 9 of their papers we have counts for
4 papers · 1 filter
A symbolic approach to discrete structural optimization using quantum annealing
Kevin Wils, Boyang Chen
With the advent of novel quantum computing technologies, and the knowledge that such technology might be used to fundamentally change computing applications, a prime opportunity ha…
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
Xuchen You, Shouvanik Chakrabarti, Boyang Chen +1
A quantum neural network (QNN) is a parameterized mapping efficiently implementable on near-term Noisy Intermediate-Scale Quantum (NISQ) computers. It can be used for supervised le…
Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport
T. R. F. Phillips, C. E. Heaney, C. Boyang +2
In this paper we solve the Boltzmann transport equation using AI libraries. The reason why this is attractive is because it enables one to use the highly optimised software within…
Solving the Discretised Neutron Diffusion Equations using Neural Networks
T. R. F. Phillips, C. E. Heaney, C. Boyang +2
This paper presents a new approach which uses the tools within Artificial Intelligence (AI) software libraries as an alternative way of solving partial differential equations (PDEs…