Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution

Published in Nature Physics , 2020

Recommended citation: Motta, M., Sun, C., Tan, A.T.K. et al. Nat. Phys. 16, 205–210 (2020). https://www.nature.com/articles/s41567-019-0704-4

This paper provides a quantum algorithm for imaginary time evolution (ITE). The biggest challenge of implementing ITE on a quantum computer is that the ITE operator is non-unitary. Unlike the popular block encoding approach, our algorithm does not require ancillary qubits. The key is to utilize the entanglement pattern of a physical system.

Spread of entanglement
Spread of entanglement
simulation
QPU simulations