Several recent developments in estimation and robust control of quantum systems

Abstract

This paper summarizes several recent developments in the area of estimation and robust control of quantum systems and outlines several directions for future research. Quantum state tomography via linear regression estimation and adaptive quantum state estimation are introduced and a Hamiltonian identification algorithm is outlined. Two quantum robust control approaches including sliding mode control and sampling-based learning control are illustrated.

6 pages, 1 figure, brief introduction, invited for ANZCC 2017

References in corpus (4)

• Experimental Quantum State Tomography of Optical Fields and Ultrafast Statistical Sampling
• Quantum reinforcement learning
• Fidelity-based Probabilistic Q-learning for Control of Quantum Systems
• Experimental adaptive process tomography