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Introduction to Machine Learning. - Electrical & Computer Engineering
Introduction to Machine Learning. - Electrical & Computer Engineering

... – Intelligent systems engineering: specification of learning problems ...
A Complete Characterization of Unitary Quantum
A Complete Characterization of Unitary Quantum

... • Ask Merlin to send many copies of the original witness and run protocol on each one, take majority vote • Problem with this: number of proof qubits grows with improving error bounds • Needs r/(c-s)2 repetitions to obtain error 2-r by Chernoff bound • Define two projectors: ⇧0 = |0ih0|anc and ⇧1 ...
Closed timelike curves make quantum and classical computing equivalent
Closed timelike curves make quantum and classical computing equivalent

Even-denominator fractional quantum Hall effect in bilayer graphene
Even-denominator fractional quantum Hall effect in bilayer graphene

... Correlation satisfied by devices realized in different laboratories and on different substrates with different surface chemistry and dielectric properties Evidence for universality of the effects of disorder in graphene ...
ADIABATIC QUANTUM COMPUTATION
ADIABATIC QUANTUM COMPUTATION

... 6 A single-gate universal quantum gates can also be formulated using 3-qubit Deutsch gate. 7 Given a search space of size N (with no prior knowledge about the structure of information in it) we want to find the element satisfying a known √ property. Classicaly, this problem can be solved in O(N ), b ...
Scanned copy Published in Physical Principles of Neuronal and
Scanned copy Published in Physical Principles of Neuronal and

Quantum Mechanics - Nanyang Technological University
Quantum Mechanics - Nanyang Technological University

... Recently it has become possible to do experiments on the quantum vacuum using superconducting circuits. Both the electromagnetic quantum vacuum and the phononic quantum vacuum can be studied. Three different experiments carried out at mK temperatures and at microwave frequencies are described. First ...
PPT
PPT

Experimental Implementation of Encoded Logical Qubit Operations
Experimental Implementation of Encoded Logical Qubit Operations

... After the unitary gate operation, we also applied Bk, BSk, or Sk errors to the individual qubits, using singlequbit  rotations around the x, y, or z axis. For a quantitative evaluation of the algorithm’s performance, we used quantum process tomography [21] of the complete algorithm represented in F ...
Quantum computing: An IBM perspective
Quantum computing: An IBM perspective

... could break such encryption schemes. Consequently, the interest in building such a system has dramatically increased since Shor’s discovery. Aside from code breaking and simulating quantum systems efficiently, quantum computers could prove useful in other important areas. For example, searching unsor ...
On Quantum vs. Classical Communication Complexity
On Quantum vs. Classical Communication Complexity

... All communication models that we have seen can be “augmented” by allowing Alice and Bob (but not the referee) to use shared randomness, or even shared entanglement. Shared randomness matters only in the SMP regime, as O(log n) shared random bits are always sufficient. We do not have, as of today, an ...
The Canonical Approach to Quantum Gravity
The Canonical Approach to Quantum Gravity

... then (Σ, ht ) is isometric to the submanifold Σt with the induced metric. Each three-dimensional leaf Σt now corresponds to an instant of time t, where t is so far only a topological time: it faithfully labels instants in a continuous fashion, but no implication is made as to its relation to actual ...
Path Integrals from meV to MeV: Tutzing `92
Path Integrals from meV to MeV: Tutzing `92

The quantum world is not built up from correlations - Philsci
The quantum world is not built up from correlations - Philsci

... ticles that are anti-correlated in spin. Bell’s result shows that no single particle in the singlet state can be regarded to have a locally preexistent spin value. Instead, the singlet state tells us that upon measurement the spin values, if measured in the same direction on each particle, will alw ...
It is natural to think of quantum computations as multiparticle
It is natural to think of quantum computations as multiparticle

GaAs quantum structures: Comparison between direct
GaAs quantum structures: Comparison between direct

PDF
PDF

The capacity of the noisy quantum channel
The capacity of the noisy quantum channel

REF2
REF2

Study Guide Summative Exam The following represent the
Study Guide Summative Exam The following represent the

An Accidental Relationship Between a Relative Quantum
An Accidental Relationship Between a Relative Quantum

Abstracts Escuela de Fisica Matematica 2015, Universidad de los
Abstracts Escuela de Fisica Matematica 2015, Universidad de los

De Broglie-Bohm and Feynman Path Integrals
De Broglie-Bohm and Feynman Path Integrals

... The axiomatic status of the Born rule in orthodox quantum theory seems even more bewildering when we consider that this concept of emergent probability is nothing new in physics. Indeed, the same notion lies at the basis of classical statistical mechanics, where the underlying (deterministic) Newton ...
CASYS'09 Computing Anticipatory Systems
CASYS'09 Computing Anticipatory Systems

... their global nature emerging from local deformation processes. It also provides insights on the geometrical (fractal) properties of coherent states. My conclusion is that fractals are global systems arising from local deformation processes. Therefore they cannot be purely geometric objects. Their co ...
Quantum Theory. A Mathematical Approach
Quantum Theory. A Mathematical Approach

... physics generally – of great interest, and although I believe that some knowledge should be a part of the general education of physicists, I shall nevertheless follow here in my exposition of quantum theory the opposite direction. This is in particular the best way to teach the subject to mathematic ...
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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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