PPT-sparse codes from quantum circuits

Dave Bacon Steve Flammia Aram Harrow Jonathan Shi arXiv14113334 Coogee 23 Jan 2015 QECC nkd code encode k logical qubits in n physical qubits and correct errors on . with a . Scala. Embedded . Language. Xiao Liu and . John . Kubiatowicz. Computer Science Division. University of California, Berkeley. Email: {. xliu. , . kubitron. }@eecs.berkeley.edu. Why Quantum Computers?. Volkan . Cevher. volkan.cevher@epfl.ch. Laboratory. for Information . . and Inference Systems - . LIONS. . http://lions.epfl.ch. Linear Dimensionality Reduction. Compressive sensing. non-adaptive measurements. From Theory to Practice . Dina . Katabi. O. . Abari. , E. . Adalsteinsson. , A. Adam, F. . adib. , . A. . Agarwal. , . O. C. . Andronesi. , . Arvind. , A. . Chandrakasan. , F. Durand, E. . Hamed. , H. . Raja . Giryes. ICASSP 2011. Volkan. Cevher. Agenda. The sparse approximation problem. Algorithms and pre-run guarantees. Online performance guarantees. Performance bound. Parameter selection. 2. Sparse approximation. to Multiple Correspondence . Analysis. G. Saporta. 1. , . A. . . Bernard. 1,2. , . C. . . Guinot. 2,3. 1 . CNAM, Paris, France. 2 . CE.R.I.E.S., Neuilly sur Seine, France. 3 . Université. . François Rabelais. Todd A. Brun, Daniel A. . Lidar. ,. Ben . Reichardt. , Paolo . Zanardi. University of Southern California. The key to quantum computation. The most serious obstacle to realizing quantum computers is . Fernando . G.S.L. . Brand. ão. 1. . Aram Harrow. 2. Michal Horodecki. 3. Universidade. Federal de Minas . Gerais. , Brazil. University of Washington, USA. 3. . Gdansk University, Poland. IQC, November 2011. . Michael Elad. The Computer Science Department. The Technion – Israel Institute of technology. Haifa 32000, Israel. MS45: Recent Advances in Sparse and . Non-local Image Regularization - Part III of III. Tianzhu . Zhang. 1,2. , . Adel Bibi. 1. , . Bernard Ghanem. 1. 1. 2. Circulant. Primal . Formulation. 3. Dual Formulation. Fourier Domain. Time . Domain. Here, the inverse Fourier transform is for each . Sabareesh Ganapathy. Manav Garg. Prasanna. . Venkatesh. Srinivasan. Convolutional Neural Network. State of the art in Image classification. Terminology – Feature Maps, Weights. Layers - Convolution, . Michael . Elad. The Computer Science Department. The . Technion. – Israel Institute of technology. Haifa 32000, . Israel. David L. Donoho. Statistics Department Stanford USA. What we’re now learning:. Series Circuit. A . series circuit . has a single path for the current. Series Circuit. There is only one path for the electrons to flow. This means the . current must flow through all loads. ” 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 . 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.