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ON THE GENERAL FORM OF QUANTUM STOCHASTIC
ON THE GENERAL FORM OF QUANTUM STOCHASTIC

Self-reference Systems. ppt
Self-reference Systems. ppt

Nilpotence - Nature`s Code Foundation
Nilpotence - Nature`s Code Foundation

On the Motion of Solids in Modified Quantum Mechanics.
On the Motion of Solids in Modified Quantum Mechanics.

Fisher information in quantum statistics
Fisher information in quantum statistics

Quantum Error Correction and Orthogonal Geometry
Quantum Error Correction and Orthogonal Geometry

... that S̄ ⊥ has minimal weight 3. This gives a quantum code mapping 3 qubits into 8 qubits which can correct one error. The same code was discovered by Gottesman [8], who used similar group-theoretic techniques, and by Steane [9]. Example 4. By duplicating the 5-qubit code (10) and adding two vectors, ...
Topics in Quantum Information Theory
Topics in Quantum Information Theory

... Because the answers can now depend on what the interviewer is asking the other person. Alice and Bob can agree that they should give opposite answers if both are asked the S question and otherwise they should give the same answer. For many Alices and Bobs this gives < B >= 4 ≥ 2. Alice and Bob can h ...
tions processing as well as in quantum information processing. In anal
tions processing as well as in quantum information processing. In anal

... relevant basis states become the basis states of one qubit, perform the desired single-qubit operation on that qubit, and transform back to the original basis. The basis reshuffling can be achieved via higher-order controlled-NOT operations, which in turn can be reduced to simple CNOT operations. St ...
Single photon nonlinear optics in photonic crystals
Single photon nonlinear optics in photonic crystals

... The photonic crystal-quantum dot system offers a scalable and robust platform for quantum optics research and the development of quantum information processing applications. In this approach, researchers aim to create a quantum network, which combines the utility of the photon as an information carr ...
1997-Learning to Play Hearts - Association for the Advancement of
1997-Learning to Play Hearts - Association for the Advancement of

... players and displayed the results on Figure 1. The player employed random strategy for passing cards. In both architectures the player learned to beat random players after 200 trials. The learning occurred faster in the Supervised Learning case because the networks were four times smaller than in th ...
Practical Difficulty and Techniques in Matrix-Product-State
Practical Difficulty and Techniques in Matrix-Product-State

... In case a circuit is decomposed in terms of one-, two, and three-qubit gates: Sketch of a quantum circuit (vertical lines are two-qubit gates). D: max. num. of crossings on an horizontal wire. input ...
Experiment - Physics@Technion
Experiment - Physics@Technion

Quantum Postulates “Mastery of Fundamentals” Questions CH351
Quantum Postulates “Mastery of Fundamentals” Questions CH351

... Postulate 3: A measurement of the observable with operator Aˆ can only result in an eigenvalue of that operator. Postulate 4: Given that the system is in state ψ , the expectation value of the ...
A Study on Reversible Logic Gates of Quantum Computing
A Study on Reversible Logic Gates of Quantum Computing

... transistor dissipates close to 1010 kT of heat, and even the DNA copying mechanism in a human cell dissipates about 100 kT of heat per bit copied (which is understandable from a consideration of the chemical bonds that need to be broken in the process), both far from the ideal limit of kT ln 2 for i ...
classical / quantum theory of 2-dimensional hydrogen
classical / quantum theory of 2-dimensional hydrogen

... We come thus to the crooked conclusion that the Hamiltonian (1) • refers classically to some real physics, but • is quantum mechanically artificial. The 3rd dimension is a classical spectator, but is quantum mechanically an active participant. We can understand this odd development on grounds that qu ...
Department of Physics Indian Institute of Technology Kanpur
Department of Physics Indian Institute of Technology Kanpur

Compute by“Cooling”Quantum System
Compute by“Cooling”Quantum System

H   1
H 1

A quantum teleportation inspired algorithm produces sentence
A quantum teleportation inspired algorithm produces sentence

ppt - Harvard Condensed Matter Theory group
ppt - Harvard Condensed Matter Theory group

... We understand well: many-body systems of non-interacting or weakly interacting particles. For example, electron systems in semiconductors and simple metals, When the interaction energy is smaller than the kinetic energy, perturbation theory works well ...
The Quantum Error Correcting Criteria
The Quantum Error Correcting Criteria

Controlling heat and particle currents in nanodevices
Controlling heat and particle currents in nanodevices

Quantum Disentanglement Eraser
Quantum Disentanglement Eraser

... i.e., the symmetric interaction couples only to the symmetric radiation state |+>; the antisymmetric state |-> remains unchanged. ...
On the correspondence principle
On the correspondence principle

Quantum algorithms - People @ EECS at UC Berkeley
Quantum algorithms - People @ EECS at UC Berkeley

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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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