### 8871 results for qubit oscillator frequency

Contributors: Eugene Grichuk, Margarita Kuzmina, Eduard Manykin

Date: 2010-09-26

**qubit** simulates the behavior of electric field of
polarized light beam...**qubit** model has been designed as a
stochastic **oscillator** formed by a pair...**qubits** that is
exploited as a computation resource in one-way quantum
...**oscillators** is
proposed for modeling of a cluster of entangled **qubits** ...**oscillators** with chaotically modulated limit cycle radii and
**frequencies**...one-**qubit**
gates are suggested. Changing of cluster entanglement degree...**qubit** cluster, is designed, and system of equations for
network dynamics...**oscillators**...**qubit** model has been designed as a
stochastic oscillator formed by a pair ... A network of coupled stochastic **oscillators** is
proposed for modeling of a cluster of entangled **qubits** that is
exploited as a computation resource in one-way quantum
computation schemes. A **qubit** model has been designed as a
stochastic **oscillator** formed by a pair of coupled limit cycle
**oscillators** with chaotically modulated limit cycle radii and
**frequencies**. The **qubit** simulates the behavior of electric field of
polarized light beam and adequately imitates the states of two-level
quantum system. A cluster of entangled **qubits** can be associated
with a beam of polarized light, light polarization degree being
directly related to cluster entanglement degree. Oscillatory network,
imitating **qubit** cluster, is designed, and system of equations for
network dynamics has been written. The constructions of one-**qubit**
gates are suggested. Changing of cluster entanglement degree caused
by measurements can be exactly calculated.

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Contributors: Ying-Jie Chen, Hai-Tao Song, Jing-Lin Xiao

Date: 2017-10-14

**oscillating** period as functions of the temperature and the cyclotron **frequency**...**frequency** in triangular quantum dot **qubit** under an electric field.docx...**frequency**, the electron-phonon coupling
constant, the electric field strength...**oscillating** period as functions of the temperature and the electron-phonon...**qubit** subjected to an electromagnetic field...**oscillating** period in the superposition state of
the ground state and ...**qubit** subjected to an electromagnetic field are studied.
We derive the...**qubit** under an electric field.docx ... Temperature effects on polaron in triangular quantum dot **qubit** subjected to an electromagnetic field are studied.
We derive the numerical results and formulate the derivative relationships of the ground and first
excited state energies, the electron probability density and the electron **oscillating** period in the superposition state of
the ground state and the first-excited state with the temperature, the cyclotron **frequency**, the electron-phonon coupling
constant, the electric field strength, the confinement strength and the Coulomb impurity potential, respectively.

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Top results from Data Repository sources. Show only results like these.

Contributors: Tim Byrnes

Date: 2012-03-24

**qubit** gate operations that can be performed at a time reduced by a factor...**qubits** made of two component Bose-Einstein condensates (BECs) is analyzed...**qubit**. We illustrate the scheme by an application to Deutsch-s and Grover-s ... Quantum computation using **qubits** made of two component Bose-Einstein condensates (BECs) is analyzed. We construct a general framework for quantum algorithms to be executed using the collective states of the BECs. The use of BECs allows for an increase of energy scales via bosonic enhancement, resulting in two **qubit** gate operations that can be performed at a time reduced by a factor of N, where N is the number of bosons per **qubit**. We illustrate the scheme by an application to Deutsch-s and Grover-s algorithms, and discuss possible experimental implementations. Decoherence effects are analyzed under both general conditions and for the experimental implementation proposed.

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Contributors: Goldner, Philippe

Date: 2018-12-02

**Qubits**
in Rare Earth Doped Nanoparticles ... This presentation was given as an invited seminar at the Department of Applied Physics and Materials Science, Caltech, USA, on May 2, 2018, during a visit to the group of Prof. Andrei Faraon. It gives an overview of the current developments on rare earth based nanoscale systems for quantum technologies, focusing on results obtained within the NanOQTech project.

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Contributors: Howan Leung, Cannon X.L. Zhu, Danny T.M. Chan, Wai S. Poon, Lin Shi, Vincent C.T. Mok, Lawrence K.S. Wong

Date: 2015-01-01

High-**frequency** **oscillations**...**frequency** ictal patterns, ictal high-**frequency** **oscillations**, hyperexcitability...**frequency** **oscillations**, CFIP=conventional **frequency** ictal patterns.
...High-**frequency** **oscillations** (HFOs, 80–500Hz) from intracranial electroencephalography ... High-**frequency** **oscillations** (HFOs, 80–500Hz) from intracranial electroencephalography (EEG) may represent a biomarker of epileptogenicity for epilepsy. We explored the relationship between ictal HFOs and hyperexcitability with a view to improving surgical outcome.

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Contributors: Eric Maris, Marieke van Vugt, Michael Kahana

Date: 2011-01-15

**frequency** spectra of a coupling **oscillation** and the associated phase-coupled...high-**frequency** bursts that are coupled to a common low-**frequency** **oscillation**...**frequency** spectra produced by the tensor decomposition. All identified...**oscillation**. This mechanism requires multiple physiologically different...**frequency** spectrum. We showed that, with this source definition, the array...**frequency** spectra (both real-valued), which is exactly the structure that...high-**frequency** **oscillations** that are phase-coupled to a low-**frequency** ...high-**frequency** **oscillations**. Using human intracranial EEG (iEEG) data,...**oscillation**. In panel d, with green and index f, we show the **frequency**...low-**frequency** coupling **oscillation** and the others generating phase-coupled...**frequencies** of the coupling **oscillations** (vertical axis). The central ...**frequency** spectrum) and in terms of the neuronal network that generates...**frequency** spectra, then they can be extracted by means of tensor decomposition...**oscillations** are much more widespread than the ones for the associated...**frequency** of the coupling **oscillation**), respectively, y-axes (showing ... Spatially distributed coherent **oscillations** provide temporal windows of excitability that allow for interactions between distinct neuronal groups. It has been hypothesized that this mechanism for neuronal communication is realized by bursts of high-**frequency** **oscillations** that are phase-coupled to a low-**frequency** spatially distributed coupling **oscillation**. This mechanism requires multiple physiologically different interacting sources, one generating the low-**frequency** coupling **oscillation** and the others generating phase-coupled high-**frequency** **oscillations**. Using human intracranial EEG (iEEG) data, we provide evidence for multiple oscillatory patterns, as characterized on the basis of their spatial maps (topographies) and their **frequency** spectra. In fact, we show that the spatial maps for the coupling **oscillations** are much more widespread than the ones for the associated phase-coupled bursts. Second, in the majority of the patterns of phase-amplitude coupling (PAC), phase-coupled bursts of high-**frequency** activity are synchronized across brain areas. Third and last, working memory operations affect the PAC strength in a heterogeneous way: in some PAC patterns, working memory operations increase their strength, whereas in others they decrease it.

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Contributors: Li Wang, Qingmei Kong, Ke Li, Yunai Su, Yawei Zeng, Qinge Zhang, Wenji Dai, Mingrui Xia, Gang Wang, Zhen Jin

Date: 2016-02-12

**Frequency** main effects on ALFF. Hot colors represent increased ALFF in...**frequency** (slow-4 and slow-5) interaction effects on ALFF. The regions...low-**frequency** **oscillation** (LFO) of major depressive disorder (MDD) patients...**frequency** (slow-4 and slow-5) interaction effects on ALFF.
...**frequency** dependent....Low-**frequency** **oscillation**...**Frequency** dependence...**frequency** interaction effects on ALFF (hot colors): the left ventromedial...**frequency** on ALFF. (a) The group main effects on ALFF. Hot colors represent ... We conducted this fMRI study to examine whether the alterations in amplitudes of low-**frequency** **oscillation** (LFO) of major depressive disorder (MDD) patients were **frequency** dependent.

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Contributors: White, William C.

Date: 1916-10-01

... n/a

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Contributors: Duddell, William

Date: 1908-10-31

... n/a

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Contributors: George M. Ibrahim, Simeon M. Wong, Ryan A. Anderson, Gabrielle Singh-Cadieux, Tomoyuki Akiyama, Ayako Ochi, Hiroshi Otsubo, Tohru Okanishi, Taufik A. Valiante, Elizabeth Donner

Date: 2014-01-01

**frequency** **oscillations** at which pHFO amplitudes were maximal was inconsistent...**oscillations** (p<0.01). These results suggest that increased CFC between...**frequency** **oscillations** (pHFOs) have been proposed to be robust markers...**oscillations**, whereas pathological ripple amplitudes preferentially occurred...**frequency** amplitude by low-**frequency** phase. In the seizure-onset zone,...**oscillations** is observed. There is also less cross-**frequency** coupling ...**frequency** range has been shown to be modulated by phase of lower **frequency**...**oscillations** during the ictal period. In the interictal period, no specific...**frequency** **oscillations**...Cross-**frequency** coupling...**frequency** phase, we measured the preferred slow oscillatory phase at which...**frequencies** (x-axis) by the phases of other narrow-band **frequencies** (y-axis...**oscillations** (p=0.14 and p=0.68, respectively). At seizure termination...**frequency** **oscillations**, sorted by concurrent low-**frequency** phase into ...**oscillations**. Here, we tested the hypothesis that dynamic cross-**frequency** ... Pathological high **frequency** **oscillations** (pHFOs) have been proposed to be robust markers of epileptic cortex. Oscillatory activity below this **frequency** range has been shown to be modulated by phase of lower **frequency** **oscillations**. Here, we tested the hypothesis that dynamic cross-**frequency** interactions involving pHFOs are concentrated within the epileptogenic cortex. Intracranial electroencephalographic recordings from 17 children with medically-intractable epilepsy secondary to focal cortical dysplasia were obtained. A time-resolved analysis was performed to determine topographic concentrations and dynamic changes in cross-**frequency** amplitude-to-phase coupling (CFC). CFC between pHFOs and the phase of theta and alpha rhythms was found to be significantly elevated in the seizure-onset zone compared to non-epileptic regions (p<0.01). Data simulations showed that elevated CFC could not be attributed to the presence of sharp transients or other signal properties. The phase of low **frequency** **oscillations** at which pHFO amplitudes were maximal was inconsistent at seizure initiation, yet consistently at the trough of the low **frequency** rhythm at seizure termination. Amplitudes of pHFOs were most significantly modulated by the phase of alpha-band **oscillations** (p<0.01). These results suggest that increased CFC between pHFO amplitude and alpha phase may constitute a marker of epileptogenic brain areas and may be relevant for understanding seizure dynamics.

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