Interfering trajectories in experimental quantum-enhanced stochastic simulation

Farzad Ghafari (), Nora Tischler, Carlo Di Franco, Jayne Thompson, Mile Gu () and Geoff J. Pryde ()
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Farzad Ghafari: Griffith University
Nora Tischler: Griffith University
Carlo Di Franco: Nanyang Technological University
Jayne Thompson: National University of Singapore
Mile Gu: Nanyang Technological University
Geoff J. Pryde: Griffith University

Nature Communications, 2019, vol. 10, issue 1, 1-8

Abstract: Abstract Simulations of stochastic processes play an important role in the quantitative sciences, enabling the characterisation of complex systems. Recent work has established a quantum advantage in stochastic simulation, leading to quantum devices that execute a simulation using less memory than possible by classical means. To realise this advantage it is essential that the memory register remains coherent, and coherently interacts with the processor, allowing the simulator to operate over many time steps. Here we report a multi-time-step experimental simulation of a stochastic process using less memory than the classical limit. A key feature of the photonic quantum information processor is that it creates a quantum superposition of all possible future trajectories that the system can evolve into. This superposition allows us to introduce, and demonstrate, the idea of comparing statistical futures of two classical processes via quantum interference. We demonstrate interference of two 16-dimensional quantum states, representing statistical futures of our process, with a visibility of 0.96 ± 0.02.

Date: 2019
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DOI: 10.1038/s41467-019-08951-2

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