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Single-electron computing: Quantum dot logic gates
Single-electron computing: Quantum dot logic gates

A class of quantum many-body states that can be efficiently simulated
A class of quantum many-body states that can be efficiently simulated

Chapter 7 The Collapse of the Wave Function
Chapter 7 The Collapse of the Wave Function

... two different discrete values for the measurement on a given particle. It is from this observation that we know something like the collapse of the state vector happens. But what is it that makes something into a measurement? The answer is not obvious, and has led to various different interpretations ...
Bounds on Quantum Probabilities - D
Bounds on Quantum Probabilities - D

Interpretation Neutrality in the Classical Domain of Quantum Theory
Interpretation Neutrality in the Classical Domain of Quantum Theory

Quantum heat engine with multilevel quantum systems
Quantum heat engine with multilevel quantum systems

Embracing the quantum limit in silicon computing
Embracing the quantum limit in silicon computing

What can string theory teach us about condensed matter physics?
What can string theory teach us about condensed matter physics?

... field theory which is relativistically invariant (where the spin-wave velocity plays the role of the velocity of “light”). • The quantum field theory is invariant under scale and conformal transformations at the quantum critical point: a CFT3 ...
C. 11
C. 11

Generalized uncertainty principle and analogue of
Generalized uncertainty principle and analogue of

Strong-Disorder Fixed Point in the Dissipative Random Transverse-Field Ising Model
Strong-Disorder Fixed Point in the Dissipative Random Transverse-Field Ising Model

The Structure of the Atom
The Structure of the Atom

Quantum technology: the second quantum revolution
Quantum technology: the second quantum revolution

Decoherence of a Quantum Bit Circuit
Decoherence of a Quantum Bit Circuit

... sufficient to perform some specific computing tasks in a smaller number of algorithmic steps than with a classical processor [1]. Quantum algorithms furthermore solve some mathematical tasks presently considered as intractable, such as the factorisation of large numbers, exponentially faster than cl ...
Affine computation and affine automaton
Affine computation and affine automaton

Dynamics of Quantum Many Body Systems Far From Thermal
Dynamics of Quantum Many Body Systems Far From Thermal

... through a metallic conductor being just a trivial example. This is even more true if we think that the very basic idea of performing experiments on materials and compounds amounts to act with some external field on an otherwise equilibrium system and to monitor its response to the applied perturbati ...
Workshop on Spectral Geometry General Information
Workshop on Spectral Geometry General Information

bohr`s semiclassical model of the black hole
bohr`s semiclassical model of the black hole

... Hence, our calculations provide harmonicoscillator-like spectrum, supporting Bekenstein’s result, and in variance with Frasca’s (2005) calculations. The difference between the latter two approaches concerns not only the mere spectrum of the black hole energy, but may shed light onto the possible spa ...
Narrowband polarization-entangled photon pairs distributed over a
Narrowband polarization-entangled photon pairs distributed over a

... quantum-key distribution (QKD) [1,2], teleportation [3] or quantum repeaters [4]. In the case of QKD, using pairs of entangled photons allows the exchange of random but yet correlated qubits used for the distribution of a cryptographic key between two distant parties (often referred to as Alice and ...
Coupling Electrons, Phonons, and Photons for Nonequilibrium
Coupling Electrons, Phonons, and Photons for Nonequilibrium

Derivation of the Lindblad Equation for Open Quantum Systems and
Derivation of the Lindblad Equation for Open Quantum Systems and

Extremal properties of the variance and the quantum Fisher
Extremal properties of the variance and the quantum Fisher

... particles [3–9]. In practical situations, the influence of noise can reduce considerably the gain in accuracy when applying entangled quantum states for metrology [10]. Quantum variance and quantum Fisher information are two fundamental notions of quantum metrology. When measuring a quantum-mechanic ...
Environment-assisted quantum control of a solid
Environment-assisted quantum control of a solid

Attractive photons in a quantum nonlinear medium
Attractive photons in a quantum nonlinear medium

... Ofer Firstenberg1*, Thibault Peyronel2*, Qi-Yu Liang2, Alexey V. Gorshkov3{, Mikhail D. Lukin1 & Vladan Vuletić2 ...
Elementary Particle Mixing for Maximum Channel Capacity in Measured Decays
Elementary Particle Mixing for Maximum Channel Capacity in Measured Decays

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Quantum computing



Quantum computing studies theoretical computation systems (quantum computers) that make direct use of quantum-mechanical phenomena, such as superposition and entanglement, to perform operations on data. Quantum computers are different from digital computers based on transistors. Whereas digital computers require data to be encoded into binary digits (bits), each of which is always in one of two definite states (0 or 1), quantum computation uses quantum bits (qubits), which can be in superpositions of states. A quantum Turing machine is a theoretical model of such a computer, and is also known as the universal quantum computer. Quantum computers share theoretical similarities with non-deterministic and probabilistic computers. The field of quantum computing was initiated by the work of Yuri Manin in 1980, Richard Feynman in 1982, and David Deutsch in 1985. A quantum computer with spins as quantum bits was also formulated for use as a quantum space–time in 1968.As of 2015, the development of actual quantum computers is still in its infancy, but experiments have been carried out in which quantum computational operations were executed on a very small number of quantum bits. Both practical and theoretical research continues, and many national governments and military agencies are funding quantum computing research in an effort to develop quantum computers for civilian, business, trade, and national security purposes, such as cryptanalysis.Large-scale quantum computers will be able to solve certain problems much more quickly than any classical computers that use even the best currently known algorithms, like integer factorization using Shor's algorithm or the simulation of quantum many-body systems. There exist quantum algorithms, such as Simon's algorithm, that run faster than any possible probabilistic classical algorithm.Given sufficient computational resources, however, a classical computer could be made to simulate any quantum algorithm, as quantum computation does not violate the Church–Turing thesis.
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