Alexey Uvarov

Machine learning phase transitions with a quantum processor

2020 · Physical Review A

Machine learning has emerged as a promising approach to unveil properties of many-body systems. Recently proposed as a tool to classify phases of matter, the approach relies on classical simulation methods---such as Monte Carlo---which are …

Self-learning eigenstates with a quantum processor.

2020 · arXiv (Cornell University)

Solutions to many-body problem instances often involve an intractable number of degrees of freedom and admit no known approximations in general form. In practice, representing quantum-mechanical states of a given Hamiltonian using available numerical methods, …