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Lecture 8
Lecture 8

PowerPoint version 0.4MB - School of Mathematics | Georgia
PowerPoint version 0.4MB - School of Mathematics | Georgia

... digital basis • The algorithm has to be such that the desired result is right whatever the outcome of the measurement !! ...
ppt
ppt

Entropy and temperature of a quantum Carnot engine
Entropy and temperature of a quantum Carnot engine

GATE
GATE

Quantum Computer Simulation Using CUDA
Quantum Computer Simulation Using CUDA

T - Department of Applied Physics
T - Department of Applied Physics

Cryogenic Control Architecture for Large
Cryogenic Control Architecture for Large

... the wiring and interconnect density by making use of lithography (or multichip module packaging) to provide connection fan-out. In this way, we envisage a switch matrix that receives multiplexed data on a small number of transmission lines and decodes these address data to operate large numbers of p ...
Private Quantum Channels
Private Quantum Channels

... that privately sends any n-qubit state using 2n bits of randomness (shared key). We also exhibit a non-trivial set of n-qubit states, namely the tensor products of qubits with real amplitudes, for which there is PQC requiring only n bits of randomness. The latter result includes the classical one-ti ...
Lecture 22/23 1  Quantum  Mechanics
Lecture 22/23 1 Quantum Mechanics

... Scribe: Chris Granade ...
Entanglement and its Role in Shor`s Algorithm
Entanglement and its Role in Shor`s Algorithm

Quantum Computer
Quantum Computer

... A computation device that makes direct use of quantum-mechanical phenomenon such as superposition and entanglement to perform operations on data ...
Realization of quantum error correction
Realization of quantum error correction

Quantum mechanical modeling of the CNOT (XOR) gate
Quantum mechanical modeling of the CNOT (XOR) gate

Implementation of a Toffoli gate with superconducting circuits
Implementation of a Toffoli gate with superconducting circuits

Algorithms and Architectures for Quantum Computers—I. Chuang
Algorithms and Architectures for Quantum Computers—I. Chuang

Solid-state quantum computing using spectral holes M. S. Shahriar, P. R. Hemmer,
Solid-state quantum computing using spectral holes M. S. Shahriar, P. R. Hemmer,

... single-particle Raman transitions. Consider a situation where each atom has a ⌳-type transition, with two nondegenerate spin states coupled to a single optically excited state, as shown in Fig. 1. For two atoms separated by a frequency matching the energy difference between the low-lying states, cho ...
Negative temperature, Math dept talk
Negative temperature, Math dept talk

Simulating large quantum circuits on a small quantum computer
Simulating large quantum circuits on a small quantum computer

Detection of Quantum Critical Points by a Probe Qubit
Detection of Quantum Critical Points by a Probe Qubit

document
document

The Computational Difficulty of Spin Chains in One Dimension
The Computational Difficulty of Spin Chains in One Dimension

... comptuation: Shepherd, Franz, and Werner (quantph/0512058) construct a universal 1-dimensional quantum cellular automaton with 12 states per site. • Finding specific properties, like the ground state energy, one might expect to be easier, because after all there is just one number to know, and indee ...
Complexity of one-dimensional spin chains
Complexity of one-dimensional spin chains

Josephson Effect - Quantum Device Lab
Josephson Effect - Quantum Device Lab

Lecture 14: Quantum information revisited Density matrices
Lecture 14: Quantum information revisited Density matrices

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Algorithmic cooling

Algorithmic cooling is a phenomenon in quantum computation in which the processing of certain types of computation results in negative entropy and thus a cooling effect.The phenomenon is a result of the connection between thermodynamics and information theory. In so far as information is encoded in physical systems it is subject to the laws of thermodynamics.Certain processes within computation require a change in entropy within the computing system. As data must be stored as some kind of ordered structure (like a localized charge in a capacitor) so the erasure of data by destroying this order must involve an increase in disorder, or entropy. This means that the erasure of data releases heat. This is Landauer's principle.Reversible computing or Adiabatic computing is a theoretical type of computing in which data is never erased, it just changes state or is marked to be ignored. In theory such a system would be able to ""hide"" data without releasing heat.In the case of quantum entangled data, or qubits, it is possible for a computation to result in negative entropy, actually transferring heat out of the computational system, and so cooling it.
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