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Probabilistic quantum metrology Bernat Gendra Casalí
Probabilistic quantum metrology Bernat Gendra Casalí

... figure of merit allows her to order the different protocols in terms of her needs, taking into account what use will be given to the estimated value. Up until now most quantum metrology schemes and known bounds have been deterministic, that is, they are optimized in order to provide a valid estimate ...
Using JCP format
Using JCP format

... energy path 共MEP兲 Hamiltonian and high order canonical perturbation theory 共CPT兲, as suggested in a recent work 关D. Sugny and M. Joyeux, J. Chem. Phys. 112, 31 共2000兲兴. In addition, the quantum analog of the classical CPT is presented and results obtained therefrom are compared to the classical ones ...
Topological quantum memory
Topological quantum memory

... encoded qubits can be accurately prepared and reliably measured. We also describe how a surface code with a small block size can be built up gradually to a large block size; this procedure allows us to enter a qubit in an unknown quantum state into our quantum memory with reasonable fidelity, and th ...
Quels degrés de liberté pour quels phénom`enes? Part II. La
Quels degrés de liberté pour quels phénom`enes? Part II. La

... moments (see Tables VI, XI, and Fig. 15) is som is quantity provides the most convenient and intuitive label of the 22 , 31 , 42 , 51 , and 62 states in both isotopes are at can be defined for all states, irrespective of the level of consistent with an interpretation of these sequences as gammahampe ...
Coherence and Spin in GaAs Quantum Dots
Coherence and Spin in GaAs Quantum Dots

... of B⊥ for several B for the 8.0 µm2 dot at T = 0.3 K (squares) with RMT fits (curves). (b) Sensitivity of δg(0, B ) to νso for the 8.0 µm2 dot, 1 ≤ νso ≤ 2 (shaded), νso = 1.4 (solid line) and νso = 0.8 (dashed line) (c) δg(0, B ) (markers) with RMT predictions (dashed curves) and one parameter (s ...
Weyl--Heisenberg Representations in Communication Theory
Weyl--Heisenberg Representations in Communication Theory

... corresponds to time shifts. Hence, in this view it is simpler to work with a joint diagonalization. Following, the description of such operations are reduced to its spectral representation. However, this is not sufficient to describe most of the problems occurring in physics and engineering. One may ...
slides
slides

... we are not starting from scratch! ideas and results from LQG, matrix Group Field Theories: spacetime from quantum discreteness to an amergent continuum – p. 4/3 models, simplicial QG,... ...
Quantum Magic - UMD WordPress blog
Quantum Magic - UMD WordPress blog

Quantum simulation of disordered systems with cold atoms
Quantum simulation of disordered systems with cold atoms

Mutually Unbiased bases: a brief survey
Mutually Unbiased bases: a brief survey

Boundary conditions for integrable quantum systems
Boundary conditions for integrable quantum systems

Spin and Quantum Measurement
Spin and Quantum Measurement

... program allows you to perform all the experiments described in this text. In the program, the components are simply connected together to represent the paths the atoms take. The directions and deflections of the beams in the program are not relevant, and so we follow that lead in our depiction of th ...
Topological Quantum: Lecture Notes
Topological Quantum: Lecture Notes

... There is a fascinating relationship between the Kauffman invariant and quantum physics. For certain types of so-called ”topological quantum systems” the amplitudes of space-time processes can be directly calculated via the Kauffman invarient. We should first comment that most of what we will discuss ...
Useful Concepts from Information Theory
Useful Concepts from Information Theory

ABSTRACT Title of Document:
ABSTRACT Title of Document:

Heisenberg (and Schrödinger, and Pauli) on Hidden - Hal-SHS
Heisenberg (and Schrödinger, and Pauli) on Hidden - Hal-SHS

... bears some resemblance to the notion of potentialities or propensities familiar from the philosophy of probability starting in the 1950s (e.g. Popper 1959). Indeed, Born and Heisenberg’s transition probabilities are well-defined even when there is no value could make a transition. They are like some ...
Wigner`s Dynamical Transition State Theory in
Wigner`s Dynamical Transition State Theory in

... they enable us to show that ‘near’ the saddle the energy surface has what we call the ‘bottleneck property’ which facilitates the construction of an energy dependent dividing surface. This dividing surface has the ‘no-recrossing’ property and the flux across the dividing surface is ‘minimal’ (in a s ...
Departament de Física Quantum Information with Continuous Variable systems Grup de Física Teòrica
Departament de Física Quantum Information with Continuous Variable systems Grup de Física Teòrica

... broadcast is also solvable within Continuous Variable using multipartite entangled Gaussian states and Gaussian operations (homodyne detection). Furthermore, we show under which premises concerning entanglement content of the state, noise, inefficient homodyne detectors, our protocol is efficient and ap ...
From quantum foundations to quantum information protocols and back PhD thesis
From quantum foundations to quantum information protocols and back PhD thesis

Limits on Efficient Computation in the Physical World
Limits on Efficient Computation in the Physical World

... NP-complete problems in polynomial time, even with the help of nonuniform “quantum advice states”; and that any quantum algorithm needs Ω 2n/4 /n queries to find a local minimum of a black-box function on the n-dimensional hypercube. Surprisingly, the latter result also leads to new classical lower ...
"Loop Quantum Gravity" (Rovelli)
"Loop Quantum Gravity" (Rovelli)

The Causal Set Approach to Quantum Gravity
The Causal Set Approach to Quantum Gravity

Atomic Quantum Metrology with Narrowband Entangled and Squeezed States of Light DISSERTATION
Atomic Quantum Metrology with Narrowband Entangled and Squeezed States of Light DISSERTATION

introduction to quantum computing 1.
introduction to quantum computing 1.

... observables, and how they relate to each other. • Quantum mechanics is what you would inevitably come up with if you would started from probability theory, and then said, let’s try to generalize it so that the numbers we used to call ”probabilities” can be negative numbers. As such, the theory could ...
Superposition, Entanglement, and Raising Schrödinger’s Cat Nobel Lecture, December 8, 2012
Superposition, Entanglement, and Raising Schrödinger’s Cat Nobel Lecture, December 8, 2012

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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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