PPT-Bayesian Quantum Tomography

Byron Smith December 11 2013 What is Quantum State Tomography What is Bayesian Statistics Conditional Probabilities Bayes Rule Frequentist vs Bayesian Example Schrodingers Cat. De64257nition A Bayesian nonparametric model is a Bayesian model on an in64257nitedimensional parameter space The parameter space is typically chosen as the set of all possi ble solutions for a given learning problem For example in a regression prob Superluminescent. Emitter. Ahmed Musse, Deborah . Varnell. , Mei Chai . Zheng. , . Nyan. . Aung. , . Germano. . Penello. , and . Claire . Gmachl. Department of Electrical Engineering, Princeton . University. http://www.stabroeknews.com/images/2009/08/20090830ctscan.jpg. http://upload.wikimedia.org/wikipedia/commons/archive/d/da/20060904231838!Head_CT_scan.jpg. http://. www.capitalhealth.org/subpage.cfm?ref. Continental cratons - cold, rigid material. Spreading centers & mountains - warm mantle. P. ,. S, and Q. Tomography - Tonga Arc. Velocity tomography shows anomalies relative to average model [. Conder and Wiens. McsQPT. ). Joint work with: . S. . Rahimi-Keshari. , A. T. . Rezakhani. , T. C. Ralph. Masoud. Ghalaii. Nov. 2013. 1. Basic concepts—Phase space, Wigner . function, . HD, … . Harmonic oscillator. Spun-off . back into Medical Imaging. ?. S. . Hancock. 2. What is Tomography?. Here is a . trivial . density distribution and six of its projections. The aim of tomography . in this example is . to . Daniel Rocha & Paul Sava. Center for Wave Phenomena. Colorado School of Mines. Wavefield migration. first iteration. final iteration. Build high-resolution images with least-squares migration. Wavefield tomography. ” Workshop is to discuss theoretical and experimental hot issues related to quantum physics, from foundational issues (such as findings and ideas to investigate quantum effects in biological systems. The Workshop is supported by . . of . supergiant. stars. (. starring. . μ . Cep. ). Alain . Jorissen, . Sophie Van . Eck, . Kateryna. . Kravchenko. . (. Université Libre de Bruxelles). Andrea . Chiavassa. . (Observatoire de la Côte d’Azur, Nice). Outline. Motivation for quantum tomography. Framework for self-consistent, calibration-free tomography: . Gate set tomography. Achieving Heisenberg accuracy scaling with gate set tomography. Using gate set tomography to build a better trapped ion qubit at Sandia National Laboratories. http://upload.wikimedia.org/wikipedia/commons/archive/d/da/20060904231838!Head_CT_scan.jpg. http://. www.capitalhealth.org/subpage.cfm?ref. =36. Computed Tomography. . - Introduction. . Computed . Tomography. Part 1. Outline. Introduction. Problems of classical physics. Black-body Radiation. experimental observations. Wien’s displacement law. Stefan – Boltzmann law. Rayleigh - Jeans. Wien’s radiation law. Jingjing Ye, PhD. BeiGene. PSI Journal Club: Bayesian Methods. Nov. 17, 2020. Outline. Background . Using a case study to illustrate potential useful Bayesian analysis. Analysis and monitoring. Design study. Resident Board Review. January 23. rd. , 2014. Jo-Annie Letendre, DVM. Outline. Basic principles of CT. Use of CT in ECC. Review of the paper:. Radiology of thoracic . trauma in . the dog and cat. Review of the paper:.