Results 1 to 10 of about 11,437,873 (278)
Logistic Regression for Machine Learning in Process Tomography [PDF]
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
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Multipass quantum process tomography [PDF]
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
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Variational Quantum Process Tomography of Non-Unitaries [PDF]
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
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Bootstrapping quantum process tomography via a perturbative ansatz [PDF]
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
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Quantum process tomography with unsupervised learning and tensor networks [PDF]
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
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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
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Sensing flame structure by process tomography [PDF]
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
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
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Process tomography for systems in a thermal state
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
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Projected Least-Squares Quantum Process Tomography [PDF]
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
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