Demonstration of quantum projective simulation on a single-photon-based quantum computer

• URL: http://arxiv.org/abs/2404.12729v2
• Date: Wed, 06 Nov 2024 16:47:22 GMT
• Title: Demonstration of quantum projective simulation on a single-photon-based quantum computer
• Authors: Giacomo Franceschetto, Arno Ricou,
• Abstract summary: Variational quantum algorithms show potential in effectively operating on noisy intermediate-scale quantum devices. We present the implementation of this algorithm on Ascella, a single-photon-based quantum computer from Quandela.
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• Abstract: Variational quantum algorithms show potential in effectively operating on noisy intermediate-scale quantum devices. A novel variational approach to reinforcement learning has been recently proposed, incorporating linear-optical interferometers and a classical learning model known as projective simulation (PS). PS is a decision-making tool for reinforcement learning and can be classically represented as a random walk on a graph that describes the agent's memory. In its optical quantum version, this approach utilizes quantum walks of single photons on a mesh of tunable beamsplitters and phase shifters to select actions. In this work, we present the implementation of this algorithm on Ascella, a single-photon-based quantum computer from Quandela. The focus is drawn on solving a test bed task to showcase the potential of the quantum agent with respect to the classical agent.

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