Work

Fully efficient time-parallelized quantum optimal control algorithm

Year: 2016

Type: article

Abstract: We present a time-parallelization method that enables one to accelerate the computation of quantum optimal control algorithms. We show that this approach is approximately fully efficient when based on a gradient method as optimization solver: the computational time is approximately divided by the number of available processors. The control of spin systems, molecular orientation, and Bose-Einstein condensates are used as illustrative examples to highlight the wide range of applications of this numerical scheme.

Source: Physical Review A

DOI: 10.1103/physreva.93.043410

Authors: M. K. Riahi, J. Salomon, S. J. Glaser, D. Sugny

Institutions: New Jersey Institute of Technology, Centre de Recherche en Mathématiques de la Décision, Université Paris Dauphine-PSL, Technical University of Munich, Centre National de la Recherche Scientifique, Université de Bourgogne, Laboratoire Interdisciplinaire Carnot de Bourgogne

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Bundesministerium für Bildung und Forschung, Technische Universität München, Bundesministerium für Bildung und Frauen, Seventh Framework Programme

Awards: G2044788106, G2854317504, G3136114605, Parallelisation methods for complex cinetics, Estimation and MAnipulation at Quantum Scale, Exploring the physical limits of spin systems: A challenge in medical imaging, G7747704306, G7905394774

OpenAlex ID: W2292592691

FWCI: 2.193

Cites: 58

Cited by: 24

Related to: 10