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Quantum Computation with Neutral Atoms
Quantum Computation with Neutral Atoms

Cornell University – Toby Berger
Cornell University – Toby Berger

... information theory. 1. QUANTUM RATE-DISTORTION THEORY [1,5]. The quantum lossless source coding theorem specifies the minimum rate, called the entropy and measured in code qubits per source qubit, to which a quantum source can be compressed subject to the requirement that the source qubits can be re ...
Fri., May 6, 12:45 pm
Fri., May 6, 12:45 pm

Quantum State Reconstruction From Incomplete Data
Quantum State Reconstruction From Incomplete Data

... Information encoded in a state of a quantum system The system interacts with its (large) environment The information “dilutes” into a reservoir (“equilibrates”) Where the original information goes ? Is the process reversible ? Can we recover diluted information ? Can we derive a master equation? Wha ...
Research Status, Winter 2009 - Cove
Research Status, Winter 2009 - Cove

... • 15 is a trivial example, how about a 128 bit number? • We need 384 qubits (128 * 3) to do the quantum part of the algorithm. – The quantum operations that are performed are done once, just on more qubits. Similar to adding two integers: same technique, more bits. ...
After a 30-year struggle to harness quantum weirdness for
After a 30-year struggle to harness quantum weirdness for

... tasks. They also need to remain in their quantum states for much longer than it takes to perform a computing step — typically a microsecond or so. To achieve those goals, physicists are pursuing a two-fold strategy: extending the life of qubits and reducing how often they go wrong, and devising algo ...
Quantum_Circuit_Proj.. - UTK-EECS
Quantum_Circuit_Proj.. - UTK-EECS

Factoring 51 and 85 with 8 qubits
Factoring 51 and 85 with 8 qubits

Quantum computation and simulation with cold ions  Jonathan Home
Quantum computation and simulation with cold ions Jonathan Home

Lecture 1 - Department of Computer Science and Engineering, CUHK
Lecture 1 - Department of Computer Science and Engineering, CUHK

Quantum Error Correction and Orthogonal Geometry
Quantum Error Correction and Orthogonal Geometry

here - Dalibor Hrg
here - Dalibor Hrg

Heuristic Optimisation in Design and Analysis
Heuristic Optimisation in Design and Analysis

... likely to be observed) ...
Document
Document

Document
Document

Computing prime factors with a Josephson phase qubit quantum
Computing prime factors with a Josephson phase qubit quantum

... In this experiment, we scaled-up from an architecture initially implemented with two qubits and three resonators [7] to a nine-element quantum processor (QuP) capable of realizing rapid entanglement and a compiled version of Shor’s algorithm. The device is composed of four phase qubits and five supe ...
quantum channel capacity
quantum channel capacity

Document
Document

Entanglement, Distillation and Quantum Repeaters
Entanglement, Distillation and Quantum Repeaters

Využití Kr laseru ve SLO UP a AVČR
Využití Kr laseru ve SLO UP a AVČR

Lecture 3
Lecture 3

... industry about that…) I.e., there is a unitary transformation Un: Un|xi|0i = |xi|xi for all x2{0,1}n But then by linearity U1 1/2.5(|0i+|1i) |0i= 1/21/2 (|00i+|11i)  1/21/2(|0i+|1i) times 1/2.5(|0i+|1i) ...
Integration via a Quantum Information Processor
Integration via a Quantum Information Processor

Quantum Information Processing (Communication) with Photons
Quantum Information Processing (Communication) with Photons

Quantum Computing for Beginners: Building Qubits
Quantum Computing for Beginners: Building Qubits

in PPT
in PPT

< 1 ... 16 17 18 19 20 21 >

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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