• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Ultrafast geometric control of a single qubit using chirped pulses
Ultrafast geometric control of a single qubit using chirped pulses

DEUTSCH`S ALGORITHM - METU Computer Engineering
DEUTSCH`S ALGORITHM - METU Computer Engineering

Superconducting Circuits and Quantum Computation
Superconducting Circuits and Quantum Computation

Realization of the Cirac–Zoller controlled
Realization of the Cirac–Zoller controlled

SUPERCONDUCTING QUBITS II: DECOHERENCE F.K. Wilhelm , M.J. Storcz and U. Hartmann
SUPERCONDUCTING QUBITS II: DECOHERENCE F.K. Wilhelm , M.J. Storcz and U. Hartmann

Characterizing the Performance Effect of Trials and Rotations in
Characterizing the Performance Effect of Trials and Rotations in

Operator Imprecision and Scaling of Shor’s Algorithm
Operator Imprecision and Scaling of Shor’s Algorithm

"Veil of Hadronization": Pion Entropy & PSD at RHIC
"Veil of Hadronization": Pion Entropy & PSD at RHIC

... 1. The source-averaged pion phase space density f is very high, in the low momentum region roughly 2 that observed at the CERN SPS for Pb+Pb at Snn=17 GeV. 2. The pion entropy per particle Sp/Np is very low, implying a significant pion chemical potential (p~63 MeV) at freeze out. 3. For central ...
Probing charge fluctuator correlations using quantum dot pairs Purohit, er, tt
Probing charge fluctuator correlations using quantum dot pairs Purohit, er, tt

Testing the Dimension of Hilbert Spaces
Testing the Dimension of Hilbert Spaces

... scenario. When dealing with fundamental issues, for instance, it can be relevant to estimate the dimension of a quantum system without any distinction between classical and quantum resources. The motivation is that if nature is indeed described by quantum theory, classical degrees of freedom have al ...
quantum algorithms - Computer Engineering
quantum algorithms - Computer Engineering

... In our usual computers, a bit is either 0 or 1 at a particular time. As a direct consequence of this, a group (register) of n bits can contain only one of 2n different numbers at a given time. A quantum bit (qubit), on the other hand, can be in a weighted combination (superposition) of both 0 and 1 ...
A Chemical Approach to Molecular Spin Qubits: Decoherence and
A Chemical Approach to Molecular Spin Qubits: Decoherence and

Quantum computation with two-electron spins in
Quantum computation with two-electron spins in

An Introduction to Quantum Computation
An Introduction to Quantum Computation

... These two states are important in their own right. We denote them as |+i and |−i, respectively. For later use, we note that if we apply a Hadamard gate again, we will return to our original qubit. That is, H|+i = 0, and H|−i = 1. Notice that these two states have identical probabilities but differe ...
A scheme for efficient quantum computation with linear optics
A scheme for efficient quantum computation with linear optics

Communicating quantum processes
Communicating quantum processes

Entropy of gravitons produced in the early Universe
Entropy of gravitons produced in the early Universe

How to test the “quantumness” of a quantum computer?
How to test the “quantumness” of a quantum computer?

Mechanical quantum resonators A. N. Cleland and M. R. Geller
Mechanical quantum resonators A. N. Cleland and M. R. Geller

Quantum Teleportation Between Discrete and Continuous
Quantum Teleportation Between Discrete and Continuous

1 Introduction - UCR Math Dept.
1 Introduction - UCR Math Dept.

Characterizing Quantum Supremacy in Near
Characterizing Quantum Supremacy in Near

Document
Document

... NB1: CB neutrinos do not oscillates (by assumption) NB2: CB violates both lepton number and helicity and CB contains a calculable lepton neutrino condensate. NB3: A similar story holds for supernova neutrinos (they are believed to be approximately thermalised). NB4: Can construct a diagonal therm ...
Quantum Computers Can Search Rapidly by Using Almost
Quantum Computers Can Search Rapidly by Using Almost

... be microscopic— however, it is extremely difficult to exert precise control over microscopic individual entities. As a result, a serious problem in implementing quantum mechanical computers is their extreme sensitivity to perturbations. This paper synthesizes algorithms in terms of unitary matrices— ...
Silicon-based Quantum Computation
Silicon-based Quantum Computation

< 1 ... 7 8 9 10 11 12 13 14 15 ... 22 >

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.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report