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A hybrid learning agent for episodic learning tasks with unknown target distance
Oliver Sefrin, Sabine Wölk
The "hybrid agent for quantum-accessible reinforcement learning", as defined in (Hamann and Wölk, 2022), provides a proven quasi-quadratic speedup and is experimentally tested. How…
Experimental quantum speed-up in reinforcement learning agents
Valeria Saggio, Beate E. Asenbeck, Arne Hamann +10
Increasing demand for algorithms that can learn quickly and efficiently has led to a surge of development within the field of artificial intelligence (AI). An important paradigm wi…
Distinguishing between statistical and systematic errors in quantum process tomography
Sabine Wölk, Theeraphot Sriarunothai, Gouri S. Giri +1
It is generally assumed that every process in quantum physics can be described mathematically by a completely positive map. However, experimentally reconstructed processes are not…