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How to test the “quantumness” of a quantum computer?
How to test the “quantumness” of a quantum computer?

... The looming impossibility to predict the behaviour of any big enough quantum processor (adiabatic, gate-based, etc) and even to test it for “quantumness” using classical tools, is the elephant in the room, and it may effectively restrict any further progress. Even taking the optimistic view, that qu ...
PDF (Chapter 10)
PDF (Chapter 10)

... In less than a decade since the initial demonstrations of a quantum interface between light and matter 90,91 , light-matter quantum interface has become one of the pillars in the field of quantum information processing and communication, and one of the most active areas of research at the present ti ...
Poster PDF (3.9mb)
Poster PDF (3.9mb)

Quantum Computing - Computer Science
Quantum Computing - Computer Science

Quantum Numbers, Spectra Calculations
Quantum Numbers, Spectra Calculations

Introduction to Machine Learning
Introduction to Machine Learning

... There are many definitions of Artificial Intelligence. Two of them are: • “AI as an attempt to understand intelligent entities and to build them“ (Russell and Norvig, 1995) • "AI is the design and study of computer programs that behave intelligently" (Dean, Allen, and Aloimonos, 1995) ...
Quantum Computation and Quantum Information” by Michael
Quantum Computation and Quantum Information” by Michael

... self-standing book, in the sense that a basic background in selected areas of mathematics, computer science, and physics is somewhat necessary in order to fully grasp more advanced topics. It is for instance not quite clear for some time, for the unversed reader, that quantum computation and quantum ...
Phase estimation and Shor`s algorithm
Phase estimation and Shor`s algorithm

... natural setting for subsequent discoveries of “real quantum algorithms”. The most notable example is Shor’s quantum factoring algorithm which evolved from the the order-finding problem, which was originally formulated in the language of quantum queries. Following our “interferometric approach” we wi ...
Quantum Speed-ups for Gibbs Sampling
Quantum Speed-ups for Gibbs Sampling

The Quantum Model of the Atom
The Quantum Model of the Atom

ABSTRACT – Condensed Matter Physics [ORIGINAL]
ABSTRACT – Condensed Matter Physics [ORIGINAL]

... require the application of a large magnetic field. It is a state of matter that is proposed to exist in special, two-dimensional semiconductors with spin-orbit coupling. In addition, as the quantum spin Hall state does not break any discrete symmetries such as time-reversal or parity, its effect on ...
IS BOHR`S CHALLENGE STILL RELEVANT?
IS BOHR`S CHALLENGE STILL RELEVANT?

Titles and Abstracts
Titles and Abstracts

... transgression ideas, and provide explicit examples with physical significance. Eyal Subag (Technion-Israel Institute of Technology, Israel) Title: Contraction of so(n) representations via the Gelfand-Tsetlin bases Abstract: We realize any skew-Hermitian integrable representation of iso(n-1) as a con ...
1 Equal-time and Time-ordered Green Functions Predictions for
1 Equal-time and Time-ordered Green Functions Predictions for

... are labeled by sets {n1, n2, . . .} of non-negative integers. The integer nk can be interpreted as the number of quasi-particles with energy ωk . The state |0i = |0, 0, . . .i with all nk = 0 is called the quasi-particle vacuum state. By construction, the quasi-particles are identical and obey Bose- ...
Dept. d`Enginyeria Electrònica, Universitat Autònoma de Barcelona
Dept. d`Enginyeria Electrònica, Universitat Autònoma de Barcelona

... nano and picosecond scales. In such particular scenarios, electron dynamics becomes affected by strongly correlated quantum dynamics, both in space and time. Thus, in order to provide an accurate enough description of the electron-electron correlations, quantum transport simulators must consider a r ...
lecture31
lecture31

Physics 610: Quantum Optics
Physics 610: Quantum Optics

... lectures will cover material on the fully-quantum mechanical description of the radiation field and its interaction with matter, as treated in the later chapters. We begin at chapter 10, in which Maxwell’s equations are quantized, and we then proceed to consider various properties, measurements, and ...
Cobanera - DESY Theory Workshop
Cobanera - DESY Theory Workshop

Document
Document

... In a magnetic field, the spectral lines are split into several very closely spaced lines. This splitting, known as the Zeeman effect, demonstrates that the atoms energy levels are split. This means that, in magnetic field, the energy of state depend not only on principal quantum number, n but also o ...
lecture31
lecture31

The world of Atoms - University of California, Irvine
The world of Atoms - University of California, Irvine

Quantum Walks in Discrete and Continuous Time
Quantum Walks in Discrete and Continuous Time

... – Controls QW by varying coin-flips. – Lie theoretical proof of universal control – QW on graphs of size |G|, coin flips of length log |G| ...
Document
Document

• Quantum physics explains the energy levels of atoms with
• Quantum physics explains the energy levels of atoms with

Scientific Poster Example/Template
Scientific Poster Example/Template

... It is believed that macroscopic quantum (MQPS) and thermally activated (TAPS) phase slips maintain the stability of the superconducting state ...
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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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