PPT-QuRE : The Quantum Resource Estimator Toolbox

Martin Suchara IBM Research October 9 2013 In collaboration with Arvin Faruque Ching Yi Lai Gerardo Paz Fred Chong and John Kubiatowicz 2 Why Quantum Computer Resource Estimator . Suppose that 0 is a consistent estimator of with asymptotic variance 0 where 0 is positive de64257nite 0 or 0 x so that 0 is ine64259cient This estimator can be improved by two iterative procedures that each de64257ne a sequence of estimators Newt Ordinary Least Squares – a regression estimation technique that calculates the Beta-hats -- estimated parameters or coefficients of the model – so as to minimize the sum of the squared residuals..  . Given a stream . , where . , count the number of distinct items (so we are in the cash register model). Example: 3 5 7 4 3 4 3 4 7 5 9. 5 distinct elements: 3 4 5 7 9 (we only want the count of distinct elements, and not the set of distinct elements). Introduction. Obtaining an Estimator user ID and password/ Log in. W. hat’s new in Version 2.13a-1. Estimator set up. Opening a catalog. Creating an Estimate . Submittal into ProjectWise. Definition of Estimator . Bo Huang, Ching-Ray Yu and Christy Chuang-Stein. Pfizer Inc.. Statistics Saves Lives. Statistics2013 . Poster. The History of the Kaplan-Meier Estimator. In a paper published in the . Journal of the American Statistical Association. Patrick . Zheng. 01/23/14. Background. Populations and parameters. For a normal population. population mean. . m. . and . s.d.. . s. A binomial population. population proportion. . p. . If parameters are unknown, we make . Workflow. Laboratory of Mathematical Chemistry,. Bourgas University “Prof. Assen Zlatarov”. Bulgaria. Outlook. Description. General scheme and workflow. Basic functionalities. Forming categories. Gautam Rao. University of California, Berkeley. * ** Presentation credit: Temina Madon. Impact. Evaluation. The “final” outcomes we care about. - Identify and measure them. . Measuring Impacts. Reading Group Presenter:. Zhen . Hu. Cognitive Radio Institute. Friday, October 08, 2010. Authors: Carlos M. . Carvalho. , Nicholas G. Polson and James G. Scott. Outline. Introduction. Robust Shrinkage of Sparse Signals. September 2012. QUALITY CONTROL INSPECTOR. By attending this session, participants will be able to:. Identify the necessary inspection tools, equipment, and their use. . Explain the purpose of various tools used by inspectors. . ” 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 . extracting. . information. on quantum . processes. R. . Demkowicz. -Dobrzański, . Faculty. . of . Physics. , University of Warsaw, Poland. Quantum . Metrology. Magnetometry . utilizing. BEC. . spin. Teacher Worksheet K Except where otherwise noted, this work is licensed underhttp://creativecommons.org/licenses/by-nc-sa/3.0/ This resource is part of Carnegie Hall's Music Educators Toolbox (carnegi 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.