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

Implementations of Quantum Information
Implementations of Quantum Information

... evolves according to |g+|e|g+eia|e.  The parameter a is random and is due to varying magnetic field strength along the ion’s path, resulting in random fluctuations in the energy separation of|g and |e.  Reduce this decoherence by encoding the logical qubit as |0=|ge and |1=|eg.  The lo ...
Quantum information processing with superconducting qubits in a
Quantum information processing with superconducting qubits in a

Dissipative decoherence in the Grover algorithm
Dissipative decoherence in the Grover algorithm

... by the random matrix theory [10]. The two former classes are related to unitary errors. However, there is also the third class which corresponds to the case of nonunitary errors typical to the case of dissipative decoherence. This type of errors has been studied recently for the quantum baker map [1 ...
1.01
1.01

Topics in Quantum Information Theory
Topics in Quantum Information Theory

On the importance of parallelism for quantum computation and the
On the importance of parallelism for quantum computation and the

Qubit metrology for building a fault-tolerant quantum
Qubit metrology for building a fault-tolerant quantum

A Model of Time
A Model of Time

... and an unrealized part or the corresponding past and future. Note that the past, defined as the set of realized events, has no ”depth” yet since temporal order has not been defined. Note also, that ∆tM is e Sρ 6= Sρ . Here enters configuration dependent since mutual entropy differs for different A a ...
Extrimes of Information Combining
Extrimes of Information Combining

Phys. Rev. Lett. 108, 100501 - APS Link Manager
Phys. Rev. Lett. 108, 100501 - APS Link Manager

... where E refers to the energy of the many-body state with the qubits in state jiA jiB (Fig. 1). Within the continuum limit of a classical crystal, Eint  d2 =L for d  aR , where d is the distance between the qubits and the ends of the quantum bus. Owing to quantum fluctuations, the classical cry ...
QUANTUM COMPUTING WITH SUPERCONDUCTORS I: ARCHITECTURES Michael R. Geller Andrew T. Sornborger
QUANTUM COMPUTING WITH SUPERCONDUCTORS I: ARCHITECTURES Michael R. Geller Andrew T. Sornborger

... where ϕ and N are operators satisfying (1). Because U depends on s, which itself depends on time, HJJ is generally time-dependent. The low lying stationary states when s . 1 are shown in Fig. 4. The two lowest eigenstates |0i and |1i are used to make a qubit. ∆ǫ is the level spacing and ∆U is the he ...
Poster PDF (3.9mb)
Poster PDF (3.9mb)

Quantum phase transitions in atomic gases and
Quantum phase transitions in atomic gases and

... For smaller J, there can be a confinementdeconfinement transition at which the S=1/2 spinons are liberated: these are neutral, S=1/2 quasiparticles The gap to all excitations with non-zero S remains finite across this transition, but the gap to spin singlet excitations vanishes. There is no local or ...
H   1
H 1

Slide 1
Slide 1

pen14qip
pen14qip

Quantum Teleportation
Quantum Teleportation

Quantum factorization of 56153 with only 4 qubits
Quantum factorization of 56153 with only 4 qubits

Document
Document

... • (Error probability) x #(physical gate operations per logical gate) < 1 => reduce error by hierarchically concatenating error correction codes (i.e. using  th l i l bit f l l th h i l bit f th the  logical qubits of on level as the physical qubits of the next higher level). t hi h l l) ...
Quantum computation with neutral atoms
Quantum computation with neutral atoms

Lecture 2
Lecture 2

Lecture 4 1 Unitary Operators and Quantum Gates
Lecture 4 1 Unitary Operators and Quantum Gates

Phase estimation and Shor`s algorithm
Phase estimation and Shor`s algorithm

Quantum computing
Quantum computing

< 1 ... 13 14 15 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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