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... physical events. Signal nonlocality, accessed by means of quantum entanglement is an essential feature of the quantum physical domain. The presented interface may imply that some manifestations of altered states of consciousness, unconscious/ conscious shifts have quantum origin with significant psy ...
The Berry-Tabor conjecture
The Berry-Tabor conjecture

The Density Operator
The Density Operator

... systems. In spite of their ingenuity, it remains unclear whether modal interpretations can successfully cope with measurement. One can show that if the modal interpretations are correct there are some possible measurements that have no outcome. Although no doubt serious, this may not be a fatal draw ...
Chaos, Quantum-transactions and Consciousness
Chaos, Quantum-transactions and Consciousness

Quantum Spin Hall Effect and their Topological Design of Devices
Quantum Spin Hall Effect and their Topological Design of Devices

Quantum Programming Languages: Survey and Bibliography
Quantum Programming Languages: Survey and Bibliography

THE MINIMUM-UNCERTAINTY SQUEEZED STATES FOR ATOMS
THE MINIMUM-UNCERTAINTY SQUEEZED STATES FOR ATOMS

... The purpose of this paper is to construct the minimum-uncertainty squeezed states for quantum harmonic oscillators, which are important in these applications, in the most simple closed form. Our approach reveals the quantum numbers/integrals of motion of the squeezed states in terms of solution of c ...
Phys.Rev. D 90 (2014)
Phys.Rev. D 90 (2014)

Technical Roadmap for Fault-Tolerant Quantum Computing
Technical Roadmap for Fault-Tolerant Quantum Computing

... from many small modules, each consists of only a (relatively) small number of qubits, according to what is permissible by the technology used. These modules need to be linked together to perform inter-module gates between remote qubits. This requires either physically moving qubits from one module c ...
Deterministic Controlled-NOT Gate For Single-Photon Two
Deterministic Controlled-NOT Gate For Single-Photon Two

... Knill, Laflamme, and Milburn [1] show that probabilistic two-qubit operations implemented in linear-optical circuits with ancilla photons can be used to build a scalable quantum computer. Their work has stimulated much attention on the experimental realization of linear optics quantum computation pr ...
Angular momentum
Angular momentum

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

Metric fluctuations and the weak equivalence principle
Metric fluctuations and the weak equivalence principle

... PACS numbers: 02.50.Ey, 03.75.Dg, 04.60.Bc ...
The role of quantum physics in the theory of subjective
The role of quantum physics in the theory of subjective

... Approaches to quantum theory vary according to the way in which the observer is treated. While in the work of Bohr and most expositions before about 1960 the observer was, at least implicitly, a human being2, in succeeding works the “observer” can be a measuring apparatus, or anything that makes a p ...
Diagonalization vs. Decoherence
Diagonalization vs. Decoherence

... appears to have “classical” (non-quantum) properties and behaves like an ensemble of states (does not appear to exhibit superposition). * •Decoherence occurs through the irreversible interaction of the quantum state with the environment, “leaking” information about the state into the environment, so ...
Invited talks - Swinburne University
Invited talks - Swinburne University

This article was downloaded by:[Michigan State University Libraries]
This article was downloaded by:[Michigan State University Libraries]

... terms of the P-representation we then understand light as non-classical if it exhibits negative contributions. Translating this condition to the photon number statistics they become non-classical if they cannot be described by a mixture of Poissonian probability distributions [1] (see figure 3). For ...
Ex. = 1s 1 , 0 to (1-1)
Ex. = 1s 1 , 0 to (1-1)

... In the address analogy, this would be the street on which the electron would probably be found. In the first state there is one city. In this first city there would be one street. In the second state there are two cities. The first city with its one street and a second city with its 3 streets for a ...
Compiler Management of Communication and Parallelism for
Compiler Management of Communication and Parallelism for

pdf
pdf

... for massive computational speedup. QC-based algorithms, in contrast to classical algorithms, traverse large solution spaces exponentially fast by manipulating qubits, which are superpositions of 0 and 1 states, instead of individual bits. Taking advantage of this, QC algorithms have been devised for ...
Are Quantum Physics and Spirituality related
Are Quantum Physics and Spirituality related

Operation of a quantum bit circuit based on the Cooper pair
Operation of a quantum bit circuit based on the Cooper pair

... microwave pulses to the box gate, and the readout by measuring the current in the loop, which is different for both qubit states. This measurement is performed by monitoring the switching of an extra large Josephson junction inserted in the loop when a bias current pulse is applied to it. We show th ...
A class of quantum many-body states that can be efficiently simulated
A class of quantum many-body states that can be efficiently simulated



epl draft - E-Prints Complutense
epl draft - E-Prints Complutense

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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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