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Memory-built-in quantum teleportation with photonic and atomic qubits
Memory-built-in quantum teleportation with photonic and atomic qubits

7 Quantum Computing Applications of Genetic Programming
7 Quantum Computing Applications of Genetic Programming

... the classical bit. A classical system of n bits is at any time in one of 2n states. Quantum mechanics tells us, however, that we must think of a quantum system of n qubits as having a distinct probability of “being in” (that is, “being found in upon measurement”) each of the 2n classical states at a ...
spin-dependent selection rules for dipole transitions
spin-dependent selection rules for dipole transitions

Ultimate Intelligence Part I: Physical Completeness and Objectivity
Ultimate Intelligence Part I: Physical Completeness and Objectivity

... the input. This entails that it should model even random events, due to Chaitin’s strong definitions of algorithmic randomness [2]. That is to say, the universal mixture can model white noise perfectly (e.g., µ(x0) = µ(x1) = 1/2). More expansive definitions of randomness are not empirically justifia ...
Inherent Properties and Statistics with Individual Particles in
Inherent Properties and Statistics with Individual Particles in

... both the explanatory efficacy of the proposal and its general plausibility. First, even if one accepts that (although this fact is ‘masked’ by randomness in the distribution of probabilities) particle exchanges do in fact give rise to new macrostates in the quantum domain, the problem that non-symmet ...
Pure State Estimation and the Characterization of
Pure State Estimation and the Characterization of

... between our estimator and the quantity we want to determine [2], or the mutual information between the outcome of our measurement and the parameters that describe the possible set of states [3]. When the figure of merit is related to the overlap between two quantum states, then we are dealing with a ...
On Gravity`s role in Quantum State Reduction
On Gravity`s role in Quantum State Reduction

... Omn~s [25], and Gell-Mann and Hartle [15], in which the standard quantum procedures are reformulated in a different mathematical framework. The authors of these proposals do not normally take the view that any experimentally testable deviations from standard quantum mechanics can arise within these ...
Erasable and Unerasable Correlations
Erasable and Unerasable Correlations

... We now present the solution for some interesting bipartite situations. We analyze qubits, in which information is encoded through general unitaries in SU!2", and qumodes (harmonic oscillators in Gaussian states), with information encoded by the representation of the Weyl-Heisenberg group of displace ...
Quantum tomography of an electron - Hal-CEA
Quantum tomography of an electron - Hal-CEA

... injected into a ballistic conductor. Many identical electrons are prepared in well-controlled quantum states called levitons18 by repeatedly applying Lorentzian voltage pulses to a contact on the conductor19–21. After passing through an electron beam splitter, the levitons are mixed with a weak-ampl ...
Lecture 18 — October 26, 2015 1 Overview 2 Quantum Entropy
Lecture 18 — October 26, 2015 1 Overview 2 Quantum Entropy

Contradiction of Quantum Mechanics with Local Hidden Variables
Contradiction of Quantum Mechanics with Local Hidden Variables

... S ø 1.0157 6 0.001 being around r0 ø 1.1. This is a substantially smaller violation than obtained in the discrete case (where S ø 1.2) of spin measurements, considered originally by Bell. The choice of Bell inequality and quantum state to give a violation may not be optimal, but nevertheless the pos ...
Introduction to Quantum Computation
Introduction to Quantum Computation

Unified Treatment of Quantum Fluctuation Theorem and Jarzynski
Unified Treatment of Quantum Fluctuation Theorem and Jarzynski

... We note that ∆S is clearly considered as entropy production when these observables diagonalize the density matrices ρ(0) and ρ(T ) respectively. For example, when the system is in equilibrium at initial and final time and we choose  and B̂ as Hamiltonian, this condition is satisfied. We treat this ...
1 On the derivation of wave function reduction from Schrödinger`s
1 On the derivation of wave function reduction from Schrödinger`s

... measurement problem, it seems that most of these approaches agree on representing a measuring apparatus by a wave functionψ (or a state vector a ), evolving under the action of a unitary operator U(t) [3]. Sometimes, ψ is even supposed to represent a large part of the universe [6]. The meaning of su ...
Superconducting phase qubit coupled to a nanomechanical resonator:
Superconducting phase qubit coupled to a nanomechanical resonator:

The Single-Atom Transistor: perspectives for quantum electronics on
The Single-Atom Transistor: perspectives for quantum electronics on

... performed by opening and closing a quantum point contact, i.e. by switching between a quantized conducting state and a non-conducting state. However, it was not clear if this kind of gate-electrode controlled switching is also possible between two different conducting states of one and the same conta ...
An attempt to understand the PBR no
An attempt to understand the PBR no

... PBR do not show that mixed [epistemic] models are predictively awed or fail to yield the correct quantum statistics for some observables or states of a given system. Rather, PBR demonstrate a possible diculty for hiddenvariables models in forming composites of identically prepared systems. (3.) ...
Quantum Rings with Two Deeply Bound Electrons under a Magnetic
Quantum Rings with Two Deeply Bound Electrons under a Magnetic

... current, have been observed.[6,7] In particular, the fractional ABO (FABO) has been observed recently, where a period of the oscillation Φ0 /4 for 4-electron rings was found (Φ0 = hc/e is the flux quantum).[2,8] In the theoretical aspect, a number of calculations have been performed, which can in ge ...
Entanglement and Quantum Teleportation
Entanglement and Quantum Teleportation

... information to Bob by sending only one qubit, provided they shared a Bell state to start To create and share a Bell state, they must have (at some point) transmitted a qubit, although this transmission could be in either direction The important point: the act of sharing the quantum correlation (Bell ...
Direct Pseudopotential Calculation of Exciton Coulomb and
Direct Pseudopotential Calculation of Exciton Coulomb and

Power of one qumode for quantum computation Please share
Power of one qumode for quantum computation Please share

... quantum algorithms that are exponentially faster than the best-known classical ones [1–4]. One of the most notable examples is Shor’s factoring algorithm [2], which has been a strong driver for the quantum computing revolution. However, the essential resources that empower quantum computation remain ...
How “Quantum” is the D-Wave Machine?
How “Quantum” is the D-Wave Machine?

... The paper recorded the input-output behavior of the machine D-Wave One on a thousand randomly chosen inputs and compared it to the input-output behavior obtained by simulating three models. The first model was simulated quantum annealing1 , and the other two were classical models — simulated anneali ...
Powerpoint 8/10
Powerpoint 8/10

... Suppose they play this game lots of times, each time they are given one of the sheets of paper with equal probability (i.e. the Warden gives each party an S or a T with 50% probability) An indication of how well they are doing is to calculate the probability of winning: Probability of winning= ¼(Pr( ...
Quantum Weakest Preconditions - McGill School Of Computer Science
Quantum Weakest Preconditions - McGill School Of Computer Science

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Quantum machine learning

Quantum machine learning is a newly emerging interdisciplinary research area between quantum physics and computer science that summarises efforts to combine quantum mechanics with methods of machine learning. Quantum machine learning models or algorithms intend to use the advantages of quantum information in order to improve classical methods of machine learning, for example by developing efficient implementations of expensive classical algorithms on a quantum computer. However, quantum machine learning also includes the vice versa approach, namely applying classical methods of machine learning to quantum information theory.Although yet in its infancy, quantum machine learning is met with high expectations of providing a solution for big data analysis using the ‘parallel’ power of quantum computation. This trend is underlined by recent investments of companies such as Google and Microsoft into quantum computing hardware and research. However, quantum machine learning is still in its infancy and requires more theoretical foundations as well as solid scientific results in order to mature to a full academic discipline.
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