Results 1 to 10 of about 2,002,290 (236)
Finite quantum tomography via semidefinite programming [PDF]
International Journal of Theoretical Physics, Vol. 46, No. 6, June
2007, page 1471, 2007 Using the the convex semidefinite programming method and superoperator formalism we obtain the finite quantum tomography of some mixed quantum states such as: qudit tomography, N-qubit tomography, phase tomography and coherent spin state tomography, where that obtained results are in agreement with those of References \cite{schack,Pegg,Barnett,Buzek ...
A. C. Doherty +26 more
arxiv +3 more sources
AIP Conference Proceedings, 2005 Generalized parton distributions can be used to obtain information about the dependence of parton distributions on the impact parameter. Potential consequences for T-odd single-spin asymmetries are discussed.Comment: LaTex, 4 pages, uses ws-ijmpa.cls ...
Burkardt, Matthias
core +9 more sources
Quantum Tomography twenty years later [PDF]
Phys. Scripta, 90, 074031 (17 pp) (2015), 2015 A sample of some relevant developments that have taken place during the last twenty years in classical and quantum tomography are displayed. We will present a general conceptual framework that provides a simple unifying mathematical picture for all of them and, as an effective use of it, three subjects have been chosen that offer a wide panorama of the
Asorey, M. +3 more
arxiv +3 more sources
Mathematics in Engineering, 2019 In many tomographic imaging problems the data consist of integrals along lines or curves. Increasingly we encounter "rich tomography" problems where the quantity imaged is higher dimensional than a scalar per voxel, including vectors tensors and ...
Lionheart, William R. B.
core +4 more sources
State estimation: direct state measurement vs. tomography [PDF]
L. Maccone, C.C. Rusconi, "State estimation: A comparison between
direct state measurement and tomography", Phys. Rev. A 89, 022122 (2014), 2013 We compare direct state measurement (DST or weak state tomography) to conventional state reconstruction (tomography) through accurate Monte-Carlo simulations. We show that DST is surprisingly robust to its inherent bias. We propose a method to estimate such bias (which introduces an unavoidable error in the reconstruction) from the experimental data ...
Maccone, Lorenzo, Rusconi, Cosimo C.
arxiv +3 more sources
Journal of Physics G: Nuclear and Particle Physics, 2004 I summarize the recent advances in jet tomographic studies of cold and hot nuclear matter based on perturbative QCD calculations of medium-induced gluon bremsstrahlung.
Accardi A +51 more
core +5 more sources
Acknowledgment to Reviewers of Tomography in 2021
Tomography, 2022 Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Tomography Editorial Office
doaj +1 more source
Acknowledgment to the Reviewers of Tomography in 2022
Tomography, 2023 High-quality academic publishing is built on rigorous peer review [...]
Tomography Editorial Office
doaj +1 more source
Frontiers in Oncology, 2022 BackgroundsEpidermal growth factor receptor (EGFR) mutation profiles play a vital role in treatment strategy decisions for non–small cell lung cancer (NSCLC).
Liping Yang +10 more
doaj +1 more source
Optimising shadow tomography with generalised measurements [PDF]
Phys. Rev. Lett. 129, 220502 (2022), 2022 Advances in quantum technology require scalable techniques to efficiently extract information from a quantum system, such as expectation values of observables or its entropy. Traditional tomography is limited to a handful of qubits and shadow tomography has been suggested as a scalable replacement for larger systems. Shadow tomography is conventionally
arxiv +1 more source