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Niels Bohr as philosopher of experiment: Does
Niels Bohr as philosopher of experiment: Does

... focused on the use of classical concepts in any complementary description of the quantum object, in this paper we instead devote much of our attention to his contention that the experimental apparatus must be described in terms of the concepts of classical physics. Here the work of Kroes (1994, 2003 ...
Charged domain walls as quantum strings on a - Instituut
Charged domain walls as quantum strings on a - Instituut

Conceptual Understanding of Quantum Mechanics
Conceptual Understanding of Quantum Mechanics

XVIIth International Workshop on Quantum Atomic and Molecular
XVIIth International Workshop on Quantum Atomic and Molecular

... Since then, numerous phenomena related to this effect, completely absent, even unthinkable of in classical mechanics have been discovered and continue to be discovered at a regular rate, with also many applications in chemistry and molecular physics. We look forward to learning about some of the mos ...
PowerPoint 演示文稿 - at www.arxiv.org.
PowerPoint 演示文稿 - at www.arxiv.org.

Spin Foam Models for Quantum Gravity
Spin Foam Models for Quantum Gravity

Quantum non-demolition - Quantum Optics and Spectroscopy
Quantum non-demolition - Quantum Optics and Spectroscopy

... Throughout the last decade research has shown thtat there are several experimental implementations that fulfill most or even all of these points and might be considered as candidates for a quantum computer: nuclear spins [8], superconducting Josephson junctions [9, 10], quantum dots [11], neutral at ...
Quantum Information with Optical Continuous Variables - QuIC
Quantum Information with Optical Continuous Variables - QuIC

Algebraic Study on the Quantum Calogero Model
Algebraic Study on the Quantum Calogero Model

... China, August 19- 2-1 , 1996, ed. l\1.-L. Ge, Y. Saint-Au bin and L. Vinet (Springer- \"erlag). ...
A low-resource quantum factoring algorithm
A low-resource quantum factoring algorithm

- Philsci-Archive
- Philsci-Archive

... generate stable relative frequencies for the outcomes. This stability is then often taken to suggest a connection between these relative frequencies and some objective notion of probability. A further connection between these frequencies and symmetrical properties of the coin and the stability of th ...
Quantum Fingerprints that Keep Secrets
Quantum Fingerprints that Keep Secrets

... guarantee one-sided error probability at most 1/n , for any fixed c. The first type uses pure states and “leaks” at most O(1) bits; the second kind uses mixed states and “leaks” at most 1/nc bits – here “leakage” is defined as accessible information about the string x contained in its fingerprint. B ...
DECOHERENCE AND DYNAMICAL DECOUPLING IN SOLID-STATE SPIN QUBITS Wayne Martin Witzel
DECOHERENCE AND DYNAMICAL DECOUPLING IN SOLID-STATE SPIN QUBITS Wayne Martin Witzel

... According to the quantum theory of physics, however, nature somehow stores information in a much richer, qualitatively different sense. The elements of quantum information are called qubits (quantum bits) and can represent a superposition (a mixture) of both zero and one. More importantly, multiple ...
Measurement-Based Quantum Computation
Measurement-Based Quantum Computation

... eigenstate of the Pauli X operator with eigenvalue +1. After this a controlled-phase or CP gate that carries out the unitary operator C12 is applied to the two qubits to produce a graph state corresponding to a graph in which the two vertices are connected by an edge. ◦ See the notes “Graph States a ...
Current Fluctuations in Hybrid-Superconductor Normal Structures
Current Fluctuations in Hybrid-Superconductor Normal Structures

Towards a microscopic Description of classical Solutions in Field
Towards a microscopic Description of classical Solutions in Field

... As a consequence, consistency requires that all the classical features should emerge from these underlying physics. Following this logic, we develop methods to represent classical fields in various examples in terms of constituents. If we take this premise seriously, it follows that QFT and subseque ...
Theory and applications of light-matter interactions in Gerasimos Angelatos
Theory and applications of light-matter interactions in Gerasimos Angelatos

On the Intrinsic Population of the Lowest Triplet State of Thymine
On the Intrinsic Population of the Lowest Triplet State of Thymine

Quantum Computing, Quantum Games and Geometric Algebra
Quantum Computing, Quantum Games and Geometric Algebra

Atoms, photons, and Information
Atoms, photons, and Information

... Consideration of continuous measurement has also brought discussion of quantum systems and classical systems closer together. Control theory has developed many tools to discuss the measurement of classical systems[40]. Specifically one can ask questions about measurability of a classical system in t ...
Correlations in multipartite systems: From entanglement to localization Julia Stasi ´nska
Correlations in multipartite systems: From entanglement to localization Julia Stasi ´nska

... systems, which was initially perceived as more of a paradox and curiosity than something useful, eventually became one of the marvels of modern science. The theory of entanglement, although far from complete, is now well developed and offers many tools that allow us to test the presence of such corr ...
Variations on the adiabatic invariance: the Lorentz pendulum
Variations on the adiabatic invariance: the Lorentz pendulum

Paul A.M. Dirac`sThe Principles of Quantum Mechanics | SpringerLink
Paul A.M. Dirac`sThe Principles of Quantum Mechanics | SpringerLink

Quantum Mechanics for Pedestrians 1: Fundamentals
Quantum Mechanics for Pedestrians 1: Fundamentals

How far are we from the quantum theory of gravity?
How far are we from the quantum theory of gravity?

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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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