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Operating Quantum States in Single Magnetic Molecules: Implementation of Grover's Quantum Algorithm.
Godfrin, C; Ferhat, A; Ballou, R; Klyatskaya, S; Ruben, M; Wernsdorfer, W; Balestro, F.
Afiliação
  • Godfrin C; CNRS Institut Néel, Grenoble F-38000, France.
  • Ferhat A; Université Grenoble Alpes, Institut NEEL, Grenoble F-38000, France.
  • Ballou R; CNRS Institut Néel, Grenoble F-38000, France.
  • Klyatskaya S; Université Grenoble Alpes, Institut NEEL, Grenoble F-38000, France.
  • Ruben M; CNRS Institut Néel, Grenoble F-38000, France.
  • Wernsdorfer W; Université Grenoble Alpes, Institut NEEL, Grenoble F-38000, France.
  • Balestro F; Institute of Nanotechnology, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany.
Phys Rev Lett ; 119(18): 187702, 2017 Nov 03.
Article em En | MEDLINE | ID: mdl-29219608
ABSTRACT
Quantum algorithms use the principles of quantum mechanics, such as, for example, quantum superposition, in order to solve particular problems outperforming standard computation. They are developed for cryptography, searching, optimization, simulation, and solving large systems of linear equations. Here, we implement Grover's quantum algorithm, proposed to find an element in an unsorted list, using a single nuclear 3/2 spin carried by a Tb ion sitting in a single molecular magnet transistor. The coherent manipulation of this multilevel quantum system (qudit) is achieved by means of electric fields only. Grover's search algorithm is implemented by constructing a quantum database via a multilevel Hadamard gate. The Grover sequence then allows us to select each state. The presented method is of universal character and can be implemented in any multilevel quantum system with nonequal spaced energy levels, opening the way to novel quantum search algorithms.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Rev Lett Ano de publicação: 2017 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Rev Lett Ano de publicação: 2017 Tipo de documento: Article País de afiliação: França