  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.
