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Book ; Online: Measurement-Based Control for Minimizing Energy Functions in Quantum Systems

Clausen, Henrik Glavind / Rahman, Salahuddin Abdul / Karabacak, Özkan / Wisniewski, Rafal

2023  

Abstract: In variational quantum algorithms (VQAs), the most common objective is to find the minimum energy eigenstate of a given energy Hamiltonian. In this paper, we consider the general problem of finding a sufficient control Hamiltonian structure that, under a ...

Abstract In variational quantum algorithms (VQAs), the most common objective is to find the minimum energy eigenstate of a given energy Hamiltonian. In this paper, we consider the general problem of finding a sufficient control Hamiltonian structure that, under a given feedback control law, ensures convergence to the minimum energy eigenstate of a given energy function. By including quantum non-demolition (QND) measurements in the loop, convergence to a pure state can be ensured from an arbitrary mixed initial state. Based on existing results on strict control Lyapunov functions, we formulate a semidefinite optimization problem, whose solution defines a non-unique control Hamiltonian, which is sufficient to ensure almost sure convergence to the minimum energy eigenstate under the given feedback law and the action of QND measurements. A numerical example is provided to showcase the proposed methodology.

Comment: Accepted for IFAC 2023 - 22nd World Congress of the International Federation of Automatic Control
Keywords Quantum Physics ; Electrical Engineering and Systems Science - Systems and Control ; Mathematics - Optimization and Control
Subject code 531
Publishing date 2023-04-18
Publishing country us
Document type Book ; Online
Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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