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Rapid readout of a register of qubits using open loop... Joshua Combes , Aaron Denney , and Howard M. Wiseman
Rapid readout of a register of qubits using open loop... Joshua Combes , Aaron Denney , and Howard M. Wiseman

Non-local quantum effects in cosmology 1
Non-local quantum effects in cosmology 1

Photon Localization Revisited
Photon Localization Revisited

(2)
(2)

A Global Equilibrium as the Foundation of Quantum
A Global Equilibrium as the Foundation of Quantum

Quantum Mechanics as Complex Probability Theory
Quantum Mechanics as Complex Probability Theory

Maritime Applications of Quantum Computation
Maritime Applications of Quantum Computation

... applications, finding (more) efficient algorithms to manipulate visual information is a most important research area. Quantum Image Processing, a blend of quantum computation and image processing, is a discipline focused on designing novel quantum algorithms for storing, processing and retrieving vi ...
Experiments with single photons
Experiments with single photons

Quantum discreteness is an illusion
Quantum discreteness is an illusion

92 - UCSB Physics - University of California, Santa Barbara
92 - UCSB Physics - University of California, Santa Barbara

... In a fundamental formulation of the quantum mechanics of a closed system, such as the universe as a whole, three forms of information are needed to isotropy, the approximate spatial flatness, the simple spatial make predictions of the probabilities of alternative histories. These are the topology, a ...
quantum algorithms - Computer Engineering
quantum algorithms - Computer Engineering

Gaussian resolutions for equilibrium density matrices
Gaussian resolutions for equilibrium density matrices

... matrix. From now on we will refer to it as HSM. This method adapted the Gaussian wavepacket propagation techniques used previously to solve the real-time Schr€ odinger equation [6,7]. HSM reported results for 1D Morse and symmetric double-well potentials. Their general conclusion was that the method ...
- Philsci
- Philsci

Why Quantum Theory? Lucien Hardy November 13, 2001 Centre for Quantum Computation,
Why Quantum Theory? Lucien Hardy November 13, 2001 Centre for Quantum Computation,

... approach. However, one could recast this axiom in keeping with other interpretations such as the Bayesian approach [15]. In this paper we are primarily concerned with the structure of quantum theory and so will not try to be sophisticated with regard to the interpretation of probability theory. Howe ...
From quantum cloning to quantum key distribution with
From quantum cloning to quantum key distribution with

How to acknowledge hypercomputation? Alexander Leitsch , G¨unter Schachner
How to acknowledge hypercomputation? Alexander Leitsch , G¨unter Schachner

... By implementation of Chaitin’s “algorithm” to compute Chaitin’s Ω [37] or variants thereof [38], it would in principle be possible to “compute” the first bits of random sequences. Such random sequences could in principle be subject to the usual tests of stochasticity [39, 40]. Note that in quantum m ...
Objectives Chapter 4 Objectives, continued Chapter 4 Bohr Model of
Objectives Chapter 4 Objectives, continued Chapter 4 Bohr Model of

pdf
pdf

... ther information about repeating quantum operations can be retained within the QASM format, in the form of loops. Quantum circuits show two prominent types of quantum operations: The first type are operations that are applied to a large set of qubits. These are used, for example, when transforming q ...
A REPORT ON QUANTUM COMPUTING
A REPORT ON QUANTUM COMPUTING

... distinct states, a 0 or a 1. In a quantum computer the rules are changed. Not only can a 'quantum bit', usually referred to as a 'qubit', exist in the classical 0 and 1 states, it can also be in a coherent superposition of both. When a qubit is in this state it can be thought of as existing in two u ...
Integer Quantum Hall Effect for Bosons
Integer Quantum Hall Effect for Bosons

... order—i.e., no fractional excitations and a unique ground state on topologically nontrivial manifolds? Recent work shows that the answer is yes. In fact, according to the powerful cohomology classification scheme of Ref. [1], there are infinite number of such phases, with each phase labeled by an in ...
Square Root of “Not”
Square Root of “Not”

... real α), we get the same outcome probabilities. • In quantum mechanics, states s and ei·α ·s are therefore considered the same physical state. ...
Generalized Quantum Measurement
Generalized Quantum Measurement

... possess all of the properties required of a density matrix, and indeed: every density matrix can be written (in many ways) as such a product of factors. We can—as has been demonstrated—always arrange for the factors to be square; that done, they are determined only to within “gauge transformations” ...
Generation of nonclassical states from thermal radiation
Generation of nonclassical states from thermal radiation

... In the early works of Raymer and coworkers1 the possibility of reconstructing the quantum state of light was demonstrated by using optical homodyne tomography. Subsequently, this technique showed its great importance for the characterization and study of nonclassical field states in the continuous va ...
Another version - Scott Aaronson
Another version - Scott Aaronson

Realization of quantum error correction
Realization of quantum error correction

... state fidelity after performing the unitary operations of an errorcorrection protocol, but using techniques known not to scale efficiently with the number of qubits7. Furthermore, the ancillae cannot be reset in these experiments, whereas the experiment we describe provides this capability. In princ ...
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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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