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Updated: Sep 22, 2025
06:42
Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
9.1K
One decade of quantum optimal control in the chopped random basis
Matthias M Müller1, Ressa S Said2, Fedor Jelezko2
1Peter Grünberg Institute-Quantum Control (PGI-8), Forschungszentrum Jülich GmbH, D-52425 Germany.
Summary
The chopped random basis (CRAB) ansatz is a powerful optimization tool for quantum technology. It enables applications in quantum computing, sensing, and communication by handling experimental constraints and offering flexible optimization modes.
Area of Science:
- Quantum Information Science
- Quantum Control Engineering
Background:
- The chopped random basis (CRAB) ansatz is a key algorithm in quantum optimal control.
- It facilitates diverse quantum technology applications, including quantum computing, simulation, sensing, and communication.
Purpose of the Study:
- To present the development and theoretical foundation of the CRAB ansatz.
- To provide an overview of the CRAB toolbox and its applications.
- To highlight the algorithm's versatility across various quantum platforms.
Main Methods:
- Review of the theoretical basis of the CRAB ansatz.
- Discussion of its capability to incorporate experimental constraints.
- Exploration of its transition from open-loop to closed-loop optimization, including remote access (RedCRAB).
Main Results:
- The CRAB ansatz offers access to a trap-free control landscape.
- It is adaptable to different physical platforms for quantum technologies.
- The algorithm supports both open-loop and closed-loop optimization strategies.
Conclusions:
- The CRAB ansatz is a versatile and powerful technique for advancing quantum technologies.
- Its flexibility in optimization and constraint handling makes it valuable for current and future quantum applications.
- This review consolidates the understanding and application of CRAB in the quantum technology field.
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