PPT-Entangled Queries :Enabling Declarative Data Driven Coordin

Johannes Gehrke Department of Computer Science Cornell University With Gabriel Bender Nitin Gupta Lucja Kot Sudip Roy Cornell and Milos Nikolic Christoph Koch EPFL Introduction to Entangled Queries . joint work with Dan . Suciu. (University of Washington). Alexandra Meliou. Hypothetical (What-if. ). Queries. Brokerage company. DB. Key Performance Indicators (KPI). Example from [. Balmin. et al. VLDB’00]:. India. Bangalore. Abstract. . We will begin with definitions and examples of the notions of partial trace, partial transpose, completely positive maps and completely entangled . subspaces. . We shall display certain classes of states that can be determined by their partial traces. Entanglement is a powerful resource in Quantum information and communication. Separable states satisfy the Peres test of positivity under partial transpose (PPT) but there is an abundance of non-PPT (NPT) entangled states. Completely entangled subspaces of multipartite quantum systems viz., subspaces of the tensor product of finitely many finite-dimensional Hilbert spaces containing no non-zero product vector, have received attention by many researchers beginning with Bennett et al . GLEN BISSETT. 2. 2014. Data driven professional scepticism. Outline. What is professional scepticism. ?. What is data. ?. How can one drive the other. ?. How does IDEA help?. What is professional scepticism?. Action Queries. CS1100. 1. Advanced Queries. Action Queries. So far we have used queries to extract and view data. But can also be . used to create tables, perform data entry, modify records, etc. .. Shreya. Current Query Methods. Data Scans: Loads file into memory and scans. Column oriented stores. Low memory, high latency. Index based scan: the file is preprocessed and stored in memory with indices.. Networking:. Language, Execution and Optimization. Boon . Thau. Loo, Tyson . Condie. , Minos . Garofalakis. , David E. Gay, Joseph M. . Hellerstein. , . Petros. . Maniatis. , Raghu . Ramakrishnan, Timothy Roscoe and . Srinivas Narayana. May 13, 2016. Advisor: Prof. Jennifer Rexford. Management = Measure Control. 2. Network Controller. Measure. Control. Software-Defined Networking (SDN). Enabling Easier Measurement Matters. INTRODUCTION. PURPOSE . As part of the Agency Priority Goals (APG), CXO Dashboards will enable USDA leaders with instant access to key administrative data to enable data-driven decisions.. FY18 DASHBOARD CONCEPT. Barzan. . Mozafari. (presented by Ivo D. Dinov). University of Michigan, Ann Arbor. Research Goals. Using statistics to build better data-intensive systems. Faster. How to query petabytes of data in seconds?. DDDM. “The practice of basing decisions on the analysis of data rather than purely on intuition.”  Equally succinctly, data science “as the connective tissue between data-processing technologies (including those for . PI. : Ann Christine Catlin | . co-PIs:. Ashraful . Alam. , Joseph Francisco, Marisol Sepulveda, Connie Weaver. Award. #. 1724728. | . Award Period . August 2017 – July 2021. A Platform for Sharing Data, Computing & Scientific Workflows. agenda, . and round of introduction of the participants. . 2. Round of introduction and expectations from the participants. GIS . ???. Name, position, location. Your experience with maps, GIS, . GPS. Dave Einolf, Managing Director, Endeavour EHS. Nick Ashley, Ph.D., P.E. Global Director, Process Safety, W. R. Grace & Co.. Lu Menghini, CPSA, Senior Audit Manager, Operations, Internal Audit, bp.