Quantum Computing and Quantum Machine Learning (IR&D)


Abstract: Quantum computing promises to offer a completely new set of tools to tackle both existing and future optimization tasks. In this project, we are exploring novel ways of leveraging quantum hardware with machine learning to build new approaches that come under the emerging area of quantum machine learning. This includes hybrid approaches such as:

  • Variational Quantum Eigensolvers
  • QUBO
  • Quantum Neural Networks
Susmit Jha
Susmit Jha
Technical Director, NuSCI

My research interests include artificial intelligence, formal methods, machine learning and dynamical systems.