Results 1 to 10 of about 11,437,873 (278)

Logistic Regression for Machine Learning in Process Tomography [PDF]

open access: yesSensors, 2019
The main goal of the research presented in this paper was to develop a refined machine learning algorithm for industrial tomography applications. The article presents algorithms based on logistic regression in relation to image reconstruction using ...
Tomasz Rymarczyk   +3 more
doaj   +4 more sources

Multipass quantum process tomography [PDF]

open access: yesScientific Reports
We introduce a method to enhance the precision and accuracy of Quantum Process Tomography (QPT) by mitigating the errors caused by state preparation and measurement (SPAM), readout and shot noise.
Stancho G. Stanchev, Nikolay V. Vitanov
doaj   +4 more sources

Variational Quantum Process Tomography of Non-Unitaries [PDF]

open access: yesEntropy, 2023
Quantum process tomography is a fundamental and critical benchmarking and certification tool that is capable of fully characterizing an unknown quantum process.
Shichuan Xue   +4 more
doaj   +4 more sources

Bootstrapping quantum process tomography via a perturbative ansatz [PDF]

open access: yesNature Communications, 2020
Quantum process tomography represents one of the workhorses of quantum information processing, but suffers from exponential resource scaling. Here, the authors propose to efficiently infer general processes by approximating them through a sequence of two-
L. C. G. Govia   +4 more
doaj   +2 more sources

Quantum process tomography with unsupervised learning and tensor networks [PDF]

open access: yesNature Communications, 2023
The impressive pace of advance of quantum technology calls for robust and scalable techniques for the characterization and validation of quantum hardware. Quantum process tomography, the reconstruction of an unknown quantum channel from measurement data,
Giacomo Torlai   +5 more
doaj   +2 more sources

Agnostic Process Tomography

open access: yesPRX Quantum
Characterizing a quantum system by learning its state or evolution is a fundamental problem in quantum physics and learning theory with a myriad of applications.
Chirag Wadhwa   +3 more
doaj   +6 more sources

Sensing flame structure by process tomography [PDF]

open access: yesPhilosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences, 2016
Non-intrusive visualization of the structure of flames can offer us many advantages in studying the reaction mechanisms of combustion and observing special distributions of the parameters required for the development of equipment such as jet engines and gas turbines.
Shi Liu, Jing Liu, Jing Liu
exaly   +3 more sources

Inline Optical Coherence Tomography for Multidirectional Process Monitoring in a Coaxial LMD-w Process

open access: yesApplied Sciences, 2022
Within additive manufacturing, process stability is still an unsolved challenge. Process instabilities result from the complexity of laser deposition processes and the dependence of the quality of the workpiece on a variety of factors in the process ...
Charlotte Stehmar   +4 more
doaj   +3 more sources

Process tomography for systems in a thermal state

open access: yesNew Journal of Physics, 2013
We propose a new method for implementing process tomography which is based on the information extracted from temporal correlations between observables, rather than on state preparation and state tomography.
Ran Ber   +3 more
doaj   +4 more sources

Projected Least-Squares Quantum Process Tomography [PDF]

open access: yesQuantum, 2022
We propose and investigate a new method of quantum process tomography (QPT) which we call projected least squares (PLS). In short, PLS consists of first computing the least-squares estimator of the Choi matrix of an unknown channel, and subsequently ...
Trystan Surawy-Stepney   +3 more
doaj   +1 more source

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