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PPT - University of Washington
PPT - University of Washington

... and |01> are not eigenstates. These states are rotated. After a time pi*hbar/2*J, we have performed half of a swap operation. This is a known universal quantum gate ...
Quantum Information Processing (Communication) with Photons
Quantum Information Processing (Communication) with Photons

... • only weak interaction with environment (good coherence) • high-speed (c), low-loss transmission (‘flying qubits’ for longdistance quantum communicati0n) • good single qubit control with standard optical components (waveplates, beamsplitters, mirrors,…) • efficient photon detectors (photodiodes,…) ...
Quantum Technologies - Connect Innovate UK
Quantum Technologies - Connect Innovate UK

... What  are  quantum  technologies?   Conven&onal  quantum  devices  are  everywhere!   ...
Serge Haroche
Serge Haroche

... The Nobel Laureates have opened the door to a new era of experimentation with quantum physics by demonstrating the direct observation of individual quantum particles without destroying them. For single particles of light or matter the laws of classical physics cease to apply and quantum physics take ...
Universal resources for quantum information processing
Universal resources for quantum information processing

Instructions for Preparing Abstracts for MS+S2004
Instructions for Preparing Abstracts for MS+S2004

... three-junction flux qubit [2] is one of such candidates. On the basis of fundamental qubit operations [3,4], the cavity QED like experiments are possible on a superconductor chip by replacing an atom with a flux qubit, and a high-Q cavity with a superconducting LC-circuit. By measuring qubit state j ...
The Learnability of Quantum States
The Learnability of Quantum States

... Key point: factoring is not believed to be NP-complete! And today, we don’t believe quantum computers can solve NP-complete problems in polynomial time in general (though not surprisingly, we can’t prove it) Bennett et al. 1997: “Quantum magic” won’t be enough If you throw away the problem structur ...
“SUPERPOSITION” “interference term”
“SUPERPOSITION” “interference term”

III. Quantum Model of the Atom
III. Quantum Model of the Atom

... defines probability of finding an eTake it easy, do not get shocked, we will cover this in Chemy 333, if you are a chemistry major student ...
Diffusion quantum Monte Carlo
Diffusion quantum Monte Carlo

SYLLABUS FOR PHY 662 Quantum Mechanics II
SYLLABUS FOR PHY 662 Quantum Mechanics II

III. Quantum Model of the Atom
III. Quantum Model of the Atom

One-entangled-evening-JP
One-entangled-evening-JP

Quantum information science with photons on a chip
Quantum information science with photons on a chip

South Pasadena · Chemistry
South Pasadena · Chemistry

Quantum Algorithms for Neural Networks Daniel Shumow
Quantum Algorithms for Neural Networks Daniel Shumow

... been shown that there are theoretical algorithmic performance improvements not possible from classical computers. • Can Quantum Computation be used to improve the performance of Neural Network Algorithms? ...
Quantum phase transition - Condensed Matter Theory and Quantum
Quantum phase transition - Condensed Matter Theory and Quantum

... Quantum phase transition: scale invariance and universality ...
PPT - Fernando Brandao
PPT - Fernando Brandao

... observable and agree on what they observe ...
Recap of Lectures 9-11
Recap of Lectures 9-11

... Principle of Superposition: quantum states show interference and require both an amplitude and a phase for the parts Superposition applies in time as well as space For any observable, measured values come from a particular set of possibilities (sometimes quantised). Some states (eigenstates) always ...
Ph.D Projects – New Quantum Phenomena in Semiconductor
Ph.D Projects – New Quantum Phenomena in Semiconductor

... Ph.D Projects – New Quantum Phenomena in Semiconductor Nanostructures M Pepper, [email protected] and S. Kumar, [email protected] The objective of our work is to investigate new quantum phenomena in tailor made semiconductor structures and devices which illustrate new effects in physics ...
The Learnability of Quantum States
The Learnability of Quantum States

... Proof Idea: The classical advice to the HeurQMA/poly verifier will consist of “training inputs” x1,…,xm where m=poly(n), as well as whether xiL for all i Given a purported quantum advice state |, the verifier first checks that | yields the right answers on the training inputs, and only then us ...
Gravitational Cat State and Stochastic Semiclassical Gravity*
Gravitational Cat State and Stochastic Semiclassical Gravity*

... We investigate the nature of a gravitational two-state system (G2S) in the simplest setup in Newtonian gravity. In a quantum description of matter a single motionless massive particle can in principle be in a superposition state of two spatially-separated locations. This superposition state in gravi ...
pdf
pdf

Quantum Physics 2005 Notes-6 Solving the Time Independent Schrodinger Equation
Quantum Physics 2005 Notes-6 Solving the Time Independent Schrodinger Equation

... ! + V ( x, t )! = ih ...
Public information security in a post-quantum world
Public information security in a post-quantum world

...  We have factored the number 15 using Shor’s Algorithm (more later) and five trapped ions as qubits h t t p :/ /p hys ic s world .c om / c ws / ar tic le /n ews / 2016/ m ar /0 4/ sh or s - algor ith m is - im p le m e nte d- us ing -f ive -trap pe d -io ns ...
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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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