Quantum Simulation of Field Theories Without State Preparation
Siddhartha Harmalkar, Henry Lamm, Scott Lawrence · arXiv (Cornell University) · 2020
We propose an algorithm for computing real-time observables using a quantum processor while avoiding the need to prepare the full quantum state. This reduction in quantum resources is achieved by classically sampling configurations in imaginary-time using standard lattice field theory. These configurations can then be passed to quantum processor for time-evolution. This method encounters a signal-to-noise problem which we characterize, and we demonstrate the application of standard lattice QCD methods to mitigate it.