Optimal Lyapunov-based quantum control for quantum systems
S. C. Hou, M. A. Khan, Daoyi Dong, Ian R. Petersen, X. X. Yi

TL;DR
This paper introduces optimized Lyapunov control methods for quantum systems that significantly reduce evolution time and enhance robustness against uncertainties, improving quantum state transfer efficiency.
Contribution
The paper proposes two novel designs for Lyapunov control that optimize the speed of quantum state transfer under power constraints, demonstrating improved performance over traditional methods.
Findings
Significantly shortened evolution time for quantum state transfer.
Enhanced robustness against Hamiltonian uncertainties and decoherence.
Effective control in three-level quantum systems with high fidelity.
Abstract
Quantum Lyapunov control was developed in order to transform a quantum system from arbitrary initial states to a target state. The idea is to find control fields that steer the Lyapunov function to zero as , meanwhile the quantum system is driven to the target state. In order to shorten the time required to reach the target state, we propose two designs to optimize Lyapunov control in this paper. The first design makes the Lyapunov function decrease as fast as possible with a constraint on the total power of control fields, and the second design has the same purpose but with a constraint on each control field. Examples of a three-level system demonstrate that the evolution time for Lyapunov control can be significantly shortened, especially when high control fidelity is required. Besides, this optimal Lyapunov-based quantum control is robust against uncertainties in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
