Abstract
Constructing a set of universal quantum gates is a fundamental task for quantum computation. The existence of noises, disturbances and fluctuations is unavoidable during the process of implementing quantum gates for most practical quantum systems. This paper employs a sampling-based learning method to find robust control pulses for generating a set of universal quantum gates. Numerical results show that the learned robust control fields are insensitive to disturbances, uncertainties and fluctuations during the process of realizing universal quantum gates.
Highlights
Quantum information technology has witnessed rapid development in the last twenty years[1]
Realizing such a universal gate set is a fundamental objective in quantum computation
It is inevitable that there exist different uncertainties, inaccuracies and disturbances in external fields, or system Hamiltonians[3,4,5,6]
Summary
Quantum information technology has witnessed rapid development in the last twenty years[1]. Dynamical decoupling[13,14,15] and noise filtering[16] have been developed for enhancing robustness performance in manipulating quantum states or quantum gates. Optimal control methods such as sequential convex programming[17] and gradient-based optimal algorithms (e.g., GRAPE18) can be used to design robust control fields for manipulating quantum systems. We apply a learning-based open-loop control method[19] to guide the design of robust control fields for construction of universal quantum gates. The quantum gates with the designed control fields can have improved robustness and reliability
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
