arXiv:0706.3639v1 [cs.AI] 25 Jun 2007

arXiv:0706.3639v1 [cs.AI] 25 Jun 2007 Technical Report IDSIA-07-07 A Collection of Definitions of Intelligence Shane Legg IDSIA, Galleria …

  Intelligence, Collection

Deep Residual Learning for Image Recognition - …

Deep Residual Learning for Image Recognition Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun Microsoft Research fkahe, v-xiangz, v-shren, jiansung@microsoft.com

  Image, Learning, Residual, Recognition, Residual learning for image recognition

arXiv:1301.3781v3 [cs.CL] 7 Sep 2013

For all the following models, the training complexity is proportional to O = E T Q; (1) where E is number of the training epochs, T is the number of …

@google.com arXiv:1609.03499v2 [cs.SD] 19 Sep 2016

where 1 <x t <1 and = 255. This non-linear quantization produces a significantly better reconstruction than a simple linear quantization scheme. …

A Tutorial on UAVs for Wireless Networks: …

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems Mohammad Mozaffari 1, ... to UAVs in wireless communications is the work in …

  Network, Communication, Wireless, Wireless communications, Wireless networks

Adversarial Generative Nets: Neural Network …

Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer Carnegie Mellon University

  Network, Attacks, Nets, Adversarial generative nets, Adversarial, Generative, Neural network, Neural, Neural network attacks

Massive Exploration of Neural Machine Translation ...

Massive Exploration of Neural Machine Translation Architectures Denny Britzy, Anna Goldie, Minh-Thang Luong, Quoc Le fdennybritz,agoldie,thangluong,qvlg@google.com Google Brain

  Architecture, Machine, Exploration, Translation, Neural, Exploration of neural machine translation, Exploration of neural machine translation architectures

Mastering Chess and Shogi by Self-Play with a …

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver, 1Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, 1Matthew Lai, Arthur Guez, Marc Lanctot,1

Going deeper with convolutions - arXiv

Going deeper with convolutions Christian Szegedy Google Inc. Wei Liu University of North Carolina, Chapel Hill Yangqing Jia Google Inc. Pierre Sermanet

  With, Going, Going deeper with convolutions, Deeper, Convolutions

Andrew G. Howard Menglong Zhu Bo Chen Dmitry ...

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam

  Applications

An Introduction to Quantum Computing

4.1 The Quantum Circuit Model 61 4.2 Quantum Gates 63 4.2.1 1-Qubit Gates 63 4.2.2 Controlled-U Gates 66 4.3 Universal Sets of Quantum Gates 68 4.4 Efficiency of Approximating Unitary Transformations 71 4.5 Implementing Measurements with Quantum Circuits 73 5 SUPERDENSE CODING AND QUANTUM

  Computing, Introduction, Gate, Quantum, An introduction to quantum computing, Quantum gates

A Gentle Introduction Eleanor Rieffel and Wolfgang Polak - CAS

5.2 Some Simple Quantum Gates 74 5.2.1 The Pauli Transformations 75 5.2.2 The Hadamard Transformation 76 5.2.3 Multiple-Qubit Transformations from Single-Qubit Transformations 76 5.2.4 The Controlled-NOT and Other Singly Controlled Gates 77 5.3 Applications of Simple Gates 80 5.3.1 Dense Coding 81 5.3.2 Quantum Teleportation 82

  Gate, Quantum, Quantum gates

Quantum Computation and Quantum Information

4.5 Universal quantum gates 188 4.5.1 Two-level unitary gates are universal 189 4.5.2 Single qubit and CNOTgates are universal 191 4.5.3 A discrete set of universal operations 194 4.5.4 Approximating arbitrary unitary gates is generically hard 198 4.5.5 Quantum computational complexity 200 4.6 Summary of the quantum circuit model of computation 202

  Information, Gate, Quantum, Computation, Quantum computation and quantum information, Quantum gates

Chapter 1 Quantum Computing Basics and Concepts

Quantum Computing Basics and Concepts 1.1 Introduction ... tors in a chip doubles every 18 months and the size of gates is constantly shrinking. Consequently problems such as heat dissipation and information loss are becoming very important for current and future technologies. Improving the scale of transis-

  Gate, Quantum

Chapter 1 Quantum Computing Basics and Concepts

Quantum Computing Basics and Concepts 1.1 Introduction ... tors in a chip doubles every 18 months and the size of gates is constantly shrinking. Consequently problems such as heat dissipation and information loss are becoming very important for current and future technologies. Improving the scale of transis-

  Computing, Basics, Chapter, Concept, Gate, Quantum, Chapter 1 quantum computing basics and concepts, Quantum computing basics and concepts

Optical Computers - University of North Carolina Wilmington

properties in quantum ... Compatible with standard fabrication techniques for current logic gates. All Optical Logic Gate This is an All optical logic gate based on Interference fringes, which the detector reads, and then sends the information through to the correct program. Optical Vs. Electrical Switches

  Gate, Quantum

Quantum Gates, Circuits, and Algorithms - NCSU

Quantum gates are performed by sending electromagnetic impulses at microwave frequencies to the qubits through coaxial cables. These electromagnetic pulses have a particular duration, frequency, and phase that determine the angle of rotation of the qubit state around a particular axis of the Bloch sphere. Koch, et al.

  Gate, Quantum, Quantum gates

Quantum Computing - Lecture Notes - University of …

quantum computing. Quantum mechanics is a mathematical language, much like calculus. Just as classical physics uses calculus to explain nature, quantum physics uses quantum mechanics to explain nature. Just as classical computers can be thought of in boolean algebra terms, quantum computers are reasoned about with quantum mechanics.

  Computing, Quantum, Quantum computing

Quantum Mechanics Made Simple: Lecture Notes

Oct 05, 2012 · communication, quantum cryptography, and quantum computing. It is seen that the richness of quantum physics will greatly a ect the future generation technologies in many aspects. 1.2 Quantum Mechanics is Bizarre The development of quantum mechanicsis a great intellectual achievement, but at the same time, it is bizarre.

  Mechanics, Quantum, Quantum mechanics