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Introduction to Theoretical and Experimental aspects of Quantum Optimal Control

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arxiv 2403.00532 v2 pith:EFCZ6D5G submitted 2024-03-01 quant-ph

Introduction to Theoretical and Experimental aspects of Quantum Optimal Control

classification quant-ph
keywords quantumcontroloptimalexperimentaltwo-levelalgorithmsmethodsnumerical
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Quantum optimal control is a set of methods for designing time-varying electromagnetic fields to perform operations in quantum technologies. This tutorial paper introduces the basic elements of this theory based on the Pontryagin maximum principle, in a physicist-friendly way. An analogy with classical Lagrangian and Hamiltonian mechanics is proposed to present the main results used in this field. Emphasis is placed on the different numerical algorithms to solve a quantum optimal control problem. Several examples ranging from the control of two-level quantum systems to that of Bose-Einstein Condensates (BEC) in a one-dimensional optical lattice are studied in detail, using both analytical and numerical methods. Codes based on shooting method and gradient-based algorithms are provided. The connection between optimal processes and the quantum speed limit is also discussed in two-level quantum systems. In the case of BEC, the experimental implementation of optimal control protocols is described, both for two-level and many-level cases, with the current constraints and limitations of such platforms. This presentation is illustrated by the corresponding experimental results.

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  1. Quantum Optimal Control with Geodesic Pulse Engineering

    quant-ph 2025-08 conditional novelty 6.0

    A new quantum optimal control algorithm that follows the geodesic on SU(2^n) converges to high-fidelity multi-qubit gates in far fewer iterations than GRAPE, including 5- and 6-qubit quantum Fourier transforms on Rydb...