### 8626 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: 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: 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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Contributors: Iori Ito, Maxim Bazhenov, Rose Chik-ying Ong, Baranidharan Raman, Mark Stopfer

Date: 2009-12-10

**frequency** was typically limited to the LFP **frequency**.
(E) **Frequency** of...**Oscillation** Coherence, Not **Frequency**
(A) EAG traces revealed total ORN...**frequency** of fast **oscillation** changed not at all or only slightly across...**oscillation** **frequency**. However, changing the concentration of the odor...**Frequency** of MB-LFP **oscillations** changed in parallel to the odor input...**frequency** (compare B and the Figure 1C) we observed in vivo.
...**oscillations** suddenly slowed as net olfactory receptor neuron (ORN) output...**oscillations**? In the olfactory system of the moth, we found that odors...**frequency**. Our recordings in vivo and computational models based on these...**oscillation** **frequency** is set by the adaptation and saturation of this ... In many species, sensory stimuli elicit the oscillatory synchronization of groups of neurons. What determines the properties of these **oscillations**? In the olfactory system of the moth, we found that odors elicited oscillatory synchronization through a neural mechanism like that described in locust and Drosophila. During responses to long odor pulses, **oscillations** suddenly slowed as net olfactory receptor neuron (ORN) output decreased; thus, stimulus intensity appeared to determine **oscillation** **frequency**. However, changing the concentration of the odor had little effect upon oscillatory **frequency**. Our recordings in vivo and computational models based on these results suggested that the main effect of increasing odor concentration was to recruit additional, less well-tuned ORNs whose firing rates were tightly constrained by adaptation and saturation. Thus, in the periphery, concentration is encoded mainly by the size of the responsive ORN population, and **oscillation** **frequency** is set by the adaptation and saturation of this response.

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Contributors: Jiwoo Hong, Young Kwon Kim, Kwan Hyoung Kang, Joonwon Kim, Sang Joon Lee

Date: 2014-01-01

**oscillation** dynamics of a sessile drop, such as resonance **frequency** and...**frequencies** (**frequency** range of 20–110Hz in which the first and second...**oscillation**.
...**frequency**, but strongly affects the **oscillation** amplitude and peak width...**oscillation** amplitude, in response to different AC voltages (80 and 100Vrms...**frequency**...**oscillating** drops with different viscosities along with AC **frequency** at...**frequency**.
...**oscillating** drops with different viscosities for different **frequencies**...**frequency**. In addition, drop **oscillation** in the resonance mode is no longer...**oscillation**...**Frequency** response at harmonic and subharmonic **frequencies**.
... The effects of drop viscosity on **oscillation** dynamics of a sessile drop, such as resonance **frequency** and **oscillation** amplitude, in response to different AC voltages (80 and 100Vrms, corresponding to the electrowetting number η of 0.25 and 0.39, respectively) and **frequencies** (**frequency** range of 20–110Hz in which the first and second resonance **frequencies** exist) were investigated, based on both experiments and theoretical modeling. The results show that drop viscosity rarely affects resonance **frequency**, but strongly affects the **oscillation** amplitude and peak width of the resonance **frequency**. In addition, drop **oscillation** in the resonance mode is no longer observed, when the drop viscosity is over the critical value, which increases with applied AC voltage. A theoretical model predicts the **oscillation** dynamics of sessile drops within the error level of ±5%, except for the drop with high viscosity (60mPas). Moreover, the friction coefficient obtained by fitting the theoretical models is nearly proportional to the drop viscosity. Finally, an empirical relationship, in which the maximum amplitude is inversely proportional to the drop viscosity, is obtained.

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Contributors: Abdul-Niby, M., Alameen, M., Baitie, H.

Date: 2016-12-18

**frequency** synthesis, quadrature signal generation and phase locked loops...**oscillator** (ILO) of 35MHz **frequency**. Phase shifters at high **frequencies**...**oscillator**...**Oscillating** systems, locking of the **oscillators** can take place for injected...**frequency** to nth harmonics of the free-running **frequency**. In this paper ... In Self **Oscillating** systems, locking of the **oscillators** can take place for injected signals close in **frequency** to nth harmonics of the free-running **frequency**. In this paper, we present a simple design for digital phase shift control by using a harmonically injection locked **oscillator** (ILO) of 35MHz **frequency**. Phase shifters at high **frequencies** are essential in many communication system applications such as **frequency** synthesis, quadrature signal generation and phase locked loops (PLLs).

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Contributors: Weidinger, Daniel, Gruebele, Martin

Date: 2007-07-10

**Qubits** are encoded in 2n vibrational computing states on the ground electronic ... Accurate rotation-vibration energy levels and transition dipoles of the molecule thiophosgene are used to model the execution of quantum gates with shaped laser pulses. **Qubits** are encoded in 2n vibrational computing states on the ground electronic surface of the molecule. Computations are carried out by cycling amplitude between these computing states and a gateway state with a shaped laser pulse. The shaped pulse that performs the computation in the computing states is represented by a physical model of a 128-1024 channel pulse shaper. Pulse shapes are optimized with a standard genetic algorithm, yielding experimentally realizable computing pulses. We study the robustness of optimization as a function of the vibrational states selected, rotational level structure, additional vibrational levels not assigned to the computation, and compensation for laser power variation across a molecular ensemble.

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### Archival Report - Hierarchical Organization of Gamma and Theta Oscillatory Dynamics in Schizophrenia

Contributors: Kenji Kirihara, Anthony J. Rissling, Neal R. Swerdlow, David L. Braff, Gregory A. Light

Date: 2012-05-15

time-**frequency** points at p < .01.
...cross-**frequency** coupling...cross-**frequency** coupling of gamma and theta **oscillations** in response to...**oscillations** (black line). Note that excitatory and inhibitory phase may...**oscillations** is modulated by the phase of ongoing theta **oscillations**. ...**oscillations** in the gamma **frequency** range (∼40 Hz) is associated with ...**oscillations**...cross-**frequency** coupling. Gamma **oscillations** (red and blue lines) are ...**Oscillations**
...**oscillations** are modulated by the phase of theta waves, and this cross-**frequency**...gamma-**frequency** steady-state stimulation and if abnormal neural oscillatory ... Schizophrenia patients have deficits across a broad range of important cognitive and clinical domains. Synchronization of **oscillations** in the gamma **frequency** range (∼40 Hz) is associated with many normal cognitive functions and underlies at least some of the deficits observed in schizophrenia patients. Recent studies have demonstrated that gamma **oscillations** are modulated by the phase of theta waves, and this cross-**frequency** coupling indicates that a complex and hierarchical organization governs neural oscillatory dynamics. The aims of the present study were to determine if schizophrenia patients have abnormalities in the amplitude, synchrony, and cross-**frequency** coupling of gamma and theta **oscillations** in response to gamma-**frequency** steady-state stimulation and if abnormal neural oscillatory dynamics are associated with cognitive deficits in schizophrenia.

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