Quantum-enhanced agents: causal machine learning in a quantum world

Sally Shrapnel; Gerard Milburn; Michael Kewming

doi:10.1117/12.2571480

20 August 2020 Quantum-enhanced agents: causal machine learning in a quantum world

Sally Shrapnel, Gerard Milburn, Michael Kewming

Proceedings Volume 11469, Emerging Topics in Artificial Intelligence 2020; 114690Y (2020) https://doi.org/10.1117/12.2571480
Event: SPIE Nanoscience + Engineering, 2020, Online Only

Abstract

The failure of machine learning models to accurately capture causal relationships is becoming increasingly well understood, leading to an explosion of casually motivated machine learning techniques. In this talk we consider the quantum case: can we learn causal structure in a quantum world? We introduce a quantum causal machine learning framework and also consider the possibility of a quantum enhanced agent that learns via explicitly quantum interventions. The latter model of a quantum agent uses optical probes to learn about the external world in a manner that improves upon the classical analogue.

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Sally Shrapnel, Gerard Milburn, and Michael Kewming "Quantum-enhanced agents: causal machine learning in a quantum world", Proc. SPIE 11469, Emerging Topics in Artificial Intelligence 2020, 114690Y (20 August 2020); https://doi.org/10.1117/12.2571480

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