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Sabine Wölk (Austria): Quantum enhanced reinforcement learning

Monday, 18. September 2017, 15:00

Location:  Ernst-Mach-Lecture-Hall, Boltzmanngasse 5, 2nd floor

The past decade has seen the parallel advance of two research areas—quantum computation and artificial intelligence — from abstract theory to practical applications and commercial use. Despite this seemingly simultaneous emergence and promise to shape future technological developments, the overlap between these areas still offers a number of unexplored problems. It is hence of fundamental and practical interest to determine how quantum information processing and autonomously learning machines can mutually benefit from each other.
In this talk, I will give an introduction to learning agent based on projective simulation and how we can enhance the performance of such a learning agent with the help of quantum information. I will also discuss possible experimental realizations.
[1] V. Dunjko, N. Friis and H. J. Briegel, Quantum-enhanced deliberation of learning agents using trapped ions, New J. Phys. 17, 023006 (2015)
[2] V. Dunjko, J. M. Taylor and H.J. Briegel, Quantum-enhanced machine learning, Phys. Rev. Lett. 117, 130501 (2016)

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