Introduction to Fuzzy Theory Without Equations from Aspects of Information Processing

Introduction to Quantum Information Processing

2 Quantum Information 5 2.1 The Quantum Bit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2 Processing One Qubit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.3 Two Quantum Bits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.4 Processing Two Qubits . . . . . . . . . . . . . . . . . . . . . . . ...

Introduction to quantum information theory

My name is Michael Nielsen, and I work at the University of Queensland on quantum information theory, which is the subject of my talk today. It’s part of a larger subject known as quantum information science, which is being investigated by many people at the University of Queensland as part of the activities of the Center for Quantum Computer Technology. Technical work on quantum information ge...

Introduction to Quantum Information Theory

Quantum computation and information studies how information is encoded in nature according to the laws of quantum mechanics and what this means for its computational power. In this note, we present a short and rather schematic introduction to quantum information theory by drawing comparisons to classical probability theory. For more details on quantum information theory and computation we refer...

Introduction to Quantum Information Theory

Stochastic Fuzzy Discrimination Information Measure Cost Function in Image Processing

A new cost function based on stochastic fuzzy discrimination information measure is introduced in this paper. Focusing on their significant parts, this cost function is used to find the optimal value of threshold for denoising image. It is, in fact, an extension of fuzzy entropy cost function by the present author. Multivariable normal distribution is used for creating focus on significant part...