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A Holographic Interpretation of Entanglement Entropy
A Holographic Interpretation of Entanglement Entropy

Lecture 6: QUANTUM CIRCUITS 1. Simple Quantum Circuits We`ve
Lecture 6: QUANTUM CIRCUITS 1. Simple Quantum Circuits We`ve

Quantum Computing - Computer Science
Quantum Computing - Computer Science

Quantum memory for superconducting qubits 兲
Quantum memory for superconducting qubits 兲

Integrated devices for quantum information with polarization
Integrated devices for quantum information with polarization

(pdf)
(pdf)

... N increases exponentially with the size of the integer. If we continue to increase the size of the integer, it does not take long before our algorithm takes longer than the age of the universe to complete itself. In the searching problem (locating a target object in an N object database), the best c ...
Two Qubits Tavis-Cummings Model Beyond the Rotating Wave
Two Qubits Tavis-Cummings Model Beyond the Rotating Wave

Deterministic Controlled-NOT Gate For Single-Photon Two
Deterministic Controlled-NOT Gate For Single-Photon Two

... Knill, Laflamme, and Milburn [1] show that probabilistic two-qubit operations implemented in linear-optical circuits with ancilla photons can be used to build a scalable quantum computer. Their work has stimulated much attention on the experimental realization of linear optics quantum computation pr ...
Powerpoint 7/13
Powerpoint 7/13

Quantum Computing Lecture 1 What is Quantum Computing?
Quantum Computing Lecture 1 What is Quantum Computing?

Quantum NP - A Survey Dorit Aharonov and Tomer Naveh
Quantum NP - A Survey Dorit Aharonov and Tomer Naveh

Presentation - Turing Gateway to Mathematics
Presentation - Turing Gateway to Mathematics

Quantum Computing - Turing Gateway
Quantum Computing - Turing Gateway

Realisation of a programmable two-qubit quantum processor
Realisation of a programmable two-qubit quantum processor

Quantum Computing Lecture 1 Bits and Qubits What is Quantum
Quantum Computing Lecture 1 Bits and Qubits What is Quantum

C.3 Quantum circuits - UTK-EECS
C.3 Quantum circuits - UTK-EECS

Document
Document

file
file

... gate operations into several single-qubit and some interaction (two-qubit) operations in series as the CNOT gate in the globally controlled electron spin scheme. So the single-qubit operations and two-qubit (interaction) operations do not act on the same qubits at the same time. • The GRAPE optimal ...
Enhanced Energy Distribution for Quantum Information Heat
Enhanced Energy Distribution for Quantum Information Heat

Irreversibility and the Arrow of Time in a Quenched
Irreversibility and the Arrow of Time in a Quenched

... line) in agreement with the Clausius inequality hΣi ≥ 0 for an isolated system. We have thus directly tested one of the fundamental expressions of the second law of thermodynamics at the level of an isolated quantum system [3]. A comparison of the mean entropy production with the Kullback-Leibler re ...
Maximally entangling tripartite protocols for Josephson phase qubits *
Maximally entangling tripartite protocols for Josephson phase qubits *

Programmable architecture for quantum computing Jialin Chen, Lingli Wang, Edoardo Charbon,
Programmable architecture for quantum computing Jialin Chen, Lingli Wang, Edoardo Charbon,

Reading out a quantum bit
Reading out a quantum bit

Introduction to Quantum Computation
Introduction to Quantum Computation

Computing with Atoms and Molecules
Computing with Atoms and Molecules

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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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