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Creation and manipulation of entanglement in spin chains far from
Creation and manipulation of entanglement in spin chains far from

... the limit J0 → 0 is optimal for entanglement generation. As a rule of thumb, the concurrence becomes maximal when minimizing the swap terms in the Hamiltonian (3). Let us finally mention that in Ref. [13], the entanglement scalability with the chain length N and the arrival time for this entanglement ...
StMalloQuantumComputing
StMalloQuantumComputing

... is a superposition of two basis states, “0” and “1” or (Dirac’s notation) 0 and 1 This state is unknown before we make a measurement. After we perform a measurement the system is no longer in an uncertain state but it is in one of the two ...
Polarized Light and Quantum Mechanics
Polarized Light and Quantum Mechanics

Quantum optics with GeV color center in diamond
Quantum optics with GeV color center in diamond

Full-Text PDF
Full-Text PDF

Reversible vs. Quantum Computing
Reversible vs. Quantum Computing

at the STI Experts Meeting - The Information Philosopher
at the STI Experts Meeting - The Information Philosopher

... "Isn't it the case that the new improved proposed model for human deliberation can do as well with a random-but-deterministic generation process as with a causally undetermined process? " (Brainstorms, p.298) My reply: Quantum randomness is needed to break the causal chain of determinism. It expands ...
Introduction to Quantum Information Science
Introduction to Quantum Information Science

... can beat Shor's algorithm, so in that respect the race is still on. However, since then I think there has be signicantly larger interest and money to create a quantum computer. There have been a few other key algorithms created that are provably faster than classical ones, including Grover's search ...
the quantum vacuum
the quantum vacuum

Calculating Floquet states of large quantum systems: A
Calculating Floquet states of large quantum systems: A

... An alternative option is to expand the time-dependent Hamiltonian into a Fourier series and, and then truncating it, by keeping 2F + 1 harmonics kω, k = −F, ..., 0, ..., F only, to reduce the problem to the diagonalization of a time-independent superHamiltonian [8, 21]. This is a reliable method to ...
Chapter 7 Quantum Theory of the Atom
Chapter 7 Quantum Theory of the Atom

Heisenberg`s uncertainty principle in financial markets
Heisenberg`s uncertainty principle in financial markets

... to photons by catalysts, i.e. not all of the energy is “radiated”, then objects emerge which can be considered as emitters of photons and have a rest mass > 0 .  In order to properly define rest mass and position of rest mass, additional information of the environment Env is required, in particular ...
The strange (hi)story of particles and waves*
The strange (hi)story of particles and waves*

Experiments with Entangled Photons Bell Inequalities, Non-local Games and Bound Entanglement
Experiments with Entangled Photons Bell Inequalities, Non-local Games and Bound Entanglement

... this thesis that there is something here which allows us to achieve classically impossible tasks. In fact, the founders of quantum mechanics were unaware of this implication of the theory, until the leading opponent, Albert Einstein with his colleagues– Boris Podolsky and Nathan Rosen–proposed a tho ...
Quasiclassical Coarse Graining and Thermodynamic Entropy∗
Quasiclassical Coarse Graining and Thermodynamic Entropy∗

Document
Document

Intensity and State Estimation in Quantum Cryptography
Intensity and State Estimation in Quantum Cryptography

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... most important and challenging goals in quantum information science [1]. It enables a wide variety of potential applications ranging from scalable quantum computing schemes to quantum networks and single-photon nonlinear optics [2]. Much progress has been achieved towards the realization of such qua ...
Quantum violation of classical physics in macroscopic systems
Quantum violation of classical physics in macroscopic systems

Resonances, dissipation and decoherence in exotic and artificial atoms
Resonances, dissipation and decoherence in exotic and artificial atoms

... to compute quantum dot spectra. Among the most common examples, one can mention density functional theory [29–31], configuration interaction [32–34], Hartree-Fock calculations [35–37], quantum Monte Carlo methods [38–40], variational techniques [41–43] or many-body perturbation theory [44]. The nece ...
Twisted Equivariant Matter - Rutgers Physics
Twisted Equivariant Matter - Rutgers Physics

Macroscopic quantum Schro¨dinger and Einstein–Podolsky–Rosen
Macroscopic quantum Schro¨dinger and Einstein–Podolsky–Rosen

Here - Fifth Quantum Thermodynamics Conference
Here - Fifth Quantum Thermodynamics Conference

Advanced Quantum Mechanics - Pieter Kok
Advanced Quantum Mechanics - Pieter Kok

Why We Thought Linear Optics Sucks at Quantum Computing
Why We Thought Linear Optics Sucks at Quantum Computing

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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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