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Quantum Complexity and Fundamental Physics
Quantum Complexity and Fundamental Physics

The Learnability of Quantum States
The Learnability of Quantum States

Introduction to Quantum Information Theory
Introduction to Quantum Information Theory

Q 19: Quantum Optics III - DPG
Q 19: Quantum Optics III - DPG

... Paul trap with tapered geometry allows for coupling axial and radial modes of oscillation. A single ion can be driven against the tapered potential, compressing the radial degrees of freedom, which can be then used as a thermal medium. By performing work on the ion, heat is transported from a cold t ...
No Slide Title
No Slide Title

solve a nonlinear fourth-order quantum diffusion equation
solve a nonlinear fourth-order quantum diffusion equation

Quantum Information Processing Theory
Quantum Information Processing Theory

Hybrid_Quantu_Classic_Dynamics!!
Hybrid_Quantu_Classic_Dynamics!!

PH 5840 Quantum Computation and Quantum Information
PH 5840 Quantum Computation and Quantum Information

... Classroom: ESB 207A (to be shifted to ESB 350 from Aug 1st, 2013) Textbook: An Introduction to Quantum Computing by Kaye, Laflamme, Mosca (KLM) References: Quantum Computation and Quantum Information by Nielsen and Chuang (NC) Outline: This is an introductory course on quantum computation and quantu ...
Stephen Hawking
Stephen Hawking

Comment on Griffiths about locality, realism and Bell experiments
Comment on Griffiths about locality, realism and Bell experiments

Quantum Correlations, Information and Entropy
Quantum Correlations, Information and Entropy

We now extend the trace distance and fidelity to the quantum case
We now extend the trace distance and fidelity to the quantum case

... We’ve encountered some quantum operations, including unitary operation and orthogonal measurements. One can of course have other operations, such as adding a quantum system and discarding part of a system. In general, one can use arbitrary sequence of the above operations to an existing system A, su ...
Quantum Computing
Quantum Computing

powerpoint slides
powerpoint slides

Slide 1
Slide 1

CS378 - M375T - PHY341 Introduction to Quantum
CS378 - M375T - PHY341 Introduction to Quantum

Lecture 1
Lecture 1

Quantum Computation and Quantum Information - Video
Quantum Computation and Quantum Information - Video

... NPTEL Syllabus ...
The Quantum Universe for Educators PHYS 597 410, Spring 2014
The Quantum Universe for Educators PHYS 597 410, Spring 2014

Orbitals and Quantum Numbers
Orbitals and Quantum Numbers

... for each value of n ...
PowerPoint 演示文稿
PowerPoint 演示文稿

superposition - University of Illinois at Urbana
superposition - University of Illinois at Urbana

Instructions for Preparing Abstracts for MS+S2004
Instructions for Preparing Abstracts for MS+S2004

... Superconducting circuit containing Josephson junctions is one of the promising candidates as a quantum bit (qubit) which is an essential ingredient for quantum computation [1]. A three-junction flux qubit [2] is one of such candidates. On the basis of fundamental qubit operations [3,4], the cavity Q ...
Public information security in a post-quantum world
Public information security in a post-quantum world

... We find the per iod P in Step 2, and then we just continue with the rest of the algor ithm: Step 3: If / Then If per iod P is odd, go back to Step 1; Else, continue ...
< 1 ... 35 36 37 38 39 40 41 42 43 >

Quantum cognition

Quantum cognition is an emerging field which applies the mathematical formalism of quantum theory to model cognitive phenomena such as information processing by the human brain, decision making, human memory, concepts and conceptual reasoning, human judgment, and perception. The field clearly distinguishes itself from the quantum mind as it is not reliant on the hypothesis that there is something micro-physical quantum mechanical about the brain. Quantum cognition is based on the quantum-like paradigm or generalized quantum paradigm or quantum structure paradigm that information processing by complex systems such as the brain, taking into account contextual dependence of information and probabilistic reasoning, can be mathematically described in the framework of quantum information and quantum probability theory.Quantum cognition uses the mathematical formalism of quantum theory to inspire and formalize models of cognition that aim to be an advance over models based on traditional classical probability theory. The field focuses on modeling phenomena in cognitive science that have resisted traditional techniques or where traditional models seem to have reached a barrier (e.g., human memory ), and modeling preferences in decision theory that seem paradoxical from a traditional rational point of view (e.g., preference reversals ). Since the use of a quantum-theoretic framework is for modeling purposes, the identification of quantum structures in cognitive phenomena does not presuppose the existence of microscopic quantum processes in the human brain.
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