Selective and efficient quantum state tomography and its application to quantum process tomography
Ariel Bendersky, Juan Pablo Paz
Abstract
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Ariel Bendersky, Juan Pablo Paz
Abstract
Open-access reader
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.
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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.
Key concepts: Quantum tomography, Tomography, Quantum process, Quantum state, Quantum, Computer science, Process (computing), Matrix (chemical analysis)