Work

Taming Quantum Systems: A Tutorial for Using Shortcuts-To-Adiabaticity, Quantum Optimal Control, and Reinforcement Learning

Year: 2025

Type: report

Abstract: Callum W. Duncan, Pablo M. Poggi, Marin Bukov, Nikolaj Thomas Zinner, and Steve Campbell, PRX Quantum 6, 040201 (2025)

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17169845

Author: Bukov, Marin

Institution: Max Planck Institute for the Physics of Complex Systems

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Alexander von Humboldt-Stiftung, Innovationsfonden, Science Foundation Ireland, Danmarks Frie Forskningsfond, Novo Nordisk Fonden, Engineering and Physical Sciences Research Council, European Research Council

Awards: Collaborative Research: Advances in Quantum Control and Noise Mitigation on A Highly Accurate Testbed, Adiabatic and dynamical algorithms for quantum hardware, G5957557116, G6080503132

OpenAlex ID: W7087132653

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