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8 Name: Daniel L. Silver Title: Theory and Application of Machine
8 Name: Daniel L. Silver Title: Theory and Application of Machine

Are Quantum States Exponentially Long Vectors?
Are Quantum States Exponentially Long Vectors?

... are exponential in n; currently, though, Raz’s method can only prove lower bounds of the form nε log n .4 Perhaps more relevant to physics, I also conjecture that 2-D and 3-D “cluster states” (informally, 2-D and 3-D lattices of qubits with pairwise nearest-neighbor interactions) have exponential tr ...
Quantum impurity problem in ultracold gases: Dimitri M Gangardt Alex Kamenev,
Quantum impurity problem in ultracold gases: Dimitri M Gangardt Alex Kamenev,

... Even at ...
Are Quantum States Exponentially Long Vectors?
Are Quantum States Exponentially Long Vectors?

Perspective Using classical mechanics in a quantum framework
Perspective Using classical mechanics in a quantum framework

... applied not only to gas-phase reactive scattering but also to molecular processes in liquids, in (or on) solids, and particularly to the description of dynamical processes in large biologically relevant molecules. One worries, however, about the neglect of quantum e€ects in these classical simulatio ...
Tutorial: Basic Concepts in Quantum Circuits
Tutorial: Basic Concepts in Quantum Circuits

... > Physical quantum circuits are extremely hard to build > Fault-tolerant design is believed to be essential ...
G020271-00
G020271-00

...  Evade measurement back-action by measuring of an observable that does not effect a later measurement  Good QND variables (observables)  Momentum of a free particle since [p, H] = 0  Quadrature components of an EM field LIGO-G020271-00-R ...
Lecture 22: Simon`s Problem and towards Shor 1 Overview 2
Lecture 22: Simon`s Problem and towards Shor 1 Overview 2

... Last lecture we saw a toy problem that showed that the quantum model could be more efficient than the turing machine model, query complexity in the last example. In this lecture, we shall inspect one more problem, which in a way is a true separation from the classical and quantum model since it beat ...
Quantum Effects in Spin Ice 1. Thermodynamic properties of
Quantum Effects in Spin Ice 1. Thermodynamic properties of

JBSBE Editorial Ali and Yupapin
JBSBE Editorial Ali and Yupapin

... their own space-time geometry. A paradox state of consciousness is a sub-consciousness state, which can be cloned (copied). The consciousness theory was proposed by many scientists [1-4], where the convincing theory of consciousness was given by Penrose [5]. The theory exposed by Penrose and his clo ...
ppt - Pavel Stránský
ppt - Pavel Stránský

CSE 506/606 NSC Nonstandard Computation Winter Quarter 2004
CSE 506/606 NSC Nonstandard Computation Winter Quarter 2004

... • The QFT performs exactly the same transformation as the FFT, but the complex numbers are stored in the amplitude and phase of the terms in a superposition. ...
Lecture notes, part 2
Lecture notes, part 2

classical simulation
classical simulation

By: 3rd Period Chemistry Actinide Ionization Energy Probability
By: 3rd Period Chemistry Actinide Ionization Energy Probability

Abstracts  - Departamento de Matemáticas
Abstracts - Departamento de Matemáticas

... The main example will be the sine-Gordon model, which will be used to illustrate features that are key to the study of many other models. For example, the classical and quantum spectrum, conservation laws, scattering (including a brief look at the Yang-Baxter equation) and bound states. If time allo ...
First lecture, 7.10.03
First lecture, 7.10.03

I. Waves & Particles
I. Waves & Particles

... an atom Excited state: an atom has a higher potential energy than it had in its ground state When an excited atom returns to its ground state, it gives off the energy it gained as EM radiation ...
Quantum Computers, Factoring, and Decoherence
Quantum Computers, Factoring, and Decoherence

Observable1 The term observable has become the - Philsci
Observable1 The term observable has become the - Philsci

... The generalized representation of observables as positive operator measures was discovered by several authors in the 1960s (e.g., [6, 7, 10, 11, 12, 13]) and has by now become a standard element of quantum mechanics. It has greatly advanced the mathematical coherence and conceptual clarity of the t ...
Document
Document

... resonances can be used to increase the collisional interactions and thereby speed up gate operations. However, the ‘unitarity limit’ in scattering theory does not allow the collisional interaction energy to be increased beyond the on-site vibrational oscillation frequency, so the lower timescale for ...
Cavity QED 1
Cavity QED 1

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

READ MORE
READ MORE

... Ordinary bits in classical computers are in a state of 1 or 0, but quantum bits can be 1, 0 or both 1 and 0. This indefinite state is called superposition, and it is achieved in D-Wave’s quantum processor for very brief periods of time only by isolating the chip from all outside interference. Decohe ...
Significance of time
Significance of time

< 1 ... 169 170 171 172 173 174 175 176 177 ... 212 >

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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