Work

Selective and efficient quantum state tomography and its application to quantum process tomography

Year: 2013

Type: article

Abstract: We present a method for quantum state tomography that enables the efficient estimation, with fixed precision, of any of the matrix elements of the density matrix of a state, provided that the states from the basis in which the matrix is written can be efficiently prepared in a controlled manner. Furthermore, we show how this algorithm is well suited for quantum process tomography, enabling one to perform selective and efficient quantum process tomography.

Source: Physical Review A

DOI: 10.1103/physreva.87.012122

Authors: Ariel Bendersky, Juan Pablo Paz

Institutions: Institute of Photonic Sciences, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad de Buenos Aires, Institute of Astronomy and Space Physics, Instituto de Física de Buenos Aires

Language: English

Topic: Quantum Information and Cryptography

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Consejo Nacional de Investigaciones Científicas y Técnicas, Agencia Nacional de Promoción Científica y Tecnológica, Secretaría de Ciencia y Técnica, Universidad de Buenos Aires

Award: G7378882120