Classical benchmarking of Gaussian Boson Sampling on the Titan supercomputer

Understand

Gaussian Boson Sampling is a model of photonic quantum computing where single-mode squeezed states are sent through linear-optical interferometers and measured using single-photon detectors.

• In this work, we employ a recent exact sampling algorithm for GBS with threshold detectors to perform classical simulations on the Titan supercomputer.
• We determine the time and memory resources as well as the amount of computational nodes required to produce samples for different numbers of modes and detector clicks.
• It is possible to simulate a system with 800 optical modes postselected on outputs with 20 detector clicks, producing a single sample in roughly two hours using $40\%$ of the available nodes of Titan.