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Quantum Process Tomography: Resource Analysis of Different Strategies

TLDR
In this paper, the authors present a comparison of different quantum-process tomography schemes with respect to some of the physical resources they require and conclude that for quantum systems with controllable two-body interactions, the DCQD scheme is more efficient than other known quantum process tomography techniques in terms of the total number of required elementary quantum operations.
Abstract
Characterization of quantum dynamics is a fundamental problem in quantum physics and quantum-information science. Several methods are known which achieve this goal, namely standard quantum-process tomography (SQPT), ancilla-assisted process tomography, and the recently proposed scheme of direct characterization of quantum dynamics (DCQD). Here, we review these schemes and analyze them with respect to some of the physical resources they require. Although a reliable figure-of-merit for process characterization is not yet available, our analysis can provide a benchmark which is necessary for choosing the scheme that is the most appropriate in a given situation, with given resources. As a result, we conclude that for quantum systems where two-body interactions are not naturally available, SQPT is the most efficient scheme. However, for quantum systems with controllable two-body interactions, the DCQD scheme is more efficient than other known quantum-process tomography schemes in terms of the total number of required elementary quantum operations.

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Journal ArticleDOI

QuTiP 2: A Python framework for the dynamics of open quantum systems ✩

TL;DR: The Quantum Toolbox in Python as mentioned in this paper has been updated with new features, enhanced performance, and made changes in the API for improved functionality and consistency within the package, as well as increased compatibility with existing conventions used in other scientific software packages for Python.
Journal ArticleDOI

Continuous-variable optical quantum-state tomography

TL;DR: In this paper, a review of the latest developments in continuous-variable quantum-state tomography of optical fields and photons, placing a special emphasis on its practical aspects and applications in quantum information technology, is presented.
Journal ArticleDOI

Quantum principal component analysis

TL;DR: In this article, it was shown that certain quantum-processing tasks can be realizable using only approximate knowledge of the state, which can be gathered with exponentially fewer resources than a large set of measurements.
Journal ArticleDOI

Quantum information processing with superconducting circuits: a review

TL;DR: The time is ripe for describing some of the recent development of superconducting devices, systems and applications as well as practical applications of QIP, such as computation and simulation in Physics and Chemistry.
Journal ArticleDOI

Quantum-enhanced measurements without entanglement

TL;DR: In this article, a review of quantum-enhanced measurements can be found, including the use of more general quantum correlations such as quantum discord, identical particles, or non-trivial hamiltonians, and the estimation of thermodynamical parameters or parameters characterizing non-equilibrium states.
References
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Book

Quantum Computation and Quantum Information

TL;DR: In this article, the quantum Fourier transform and its application in quantum information theory is discussed, and distance measures for quantum information are defined. And quantum error-correction and entropy and information are discussed.

Quantum Computation and Quantum Information

TL;DR: This chapter discusses quantum information theory, public-key cryptography and the RSA cryptosystem, and the proof of Lieb's theorem.
Book

Foundations of modern probability

TL;DR: In this article, the authors discuss the relationship between Markov Processes and Ergodic properties of Markov processes and their relation with PDEs and potential theory. But their main focus is on the convergence of random processes, measures, and sets.
Book

Quantum detection and estimation theory

TL;DR: In this article, the optimum procedure for choosing between two hypotheses, and an approximate procedure valid at small signal-to-noise ratios and called threshold detection, are presented, and a quantum counterpart of the Cramer-Rao inequality of conventional statistics sets a lower bound to the mean-square errors of such estimates.
Journal ArticleDOI

Completely positive linear maps on complex matrices

TL;DR: A linear map from M n to M m is completely positive iff it admits an expression Φ(A)=Σ i V ∗ i AV i where Vi are n×m matrices as mentioned in this paper.
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