### 476 results for qubit oscillator frequency

Contributors: Eugene Grichuk, Margarita Kuzmina, Eduard Manykin

Date: 2010-09-26

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....network of stochastic **oscillators** ... 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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Top results from Data Repository sources. Show only results like these.

Contributors: Yan, Ying, Li, Yichao, Kinos, Adam, Walther, Andreas, Shi, Chunyan, Rippe, Lars, Moser, Joel, Kröll, Stefan, Chen, Xi

Date: 2019-03-18

High-fidelity **qubit** initialization is of significance for efficient error correction in fault tolerant quantum algorithms. Combining two best worlds, speed and robustness, to achieve high-fidelity state preparation and manipulation is challenging in quantum systems, where **qubits** are closely spaced in **frequency**. Motivated by the concept of shortcut to adiabaticity, we theoretically propose the shortcut pulses via inverse engineering and further optimize the pulses with respect to systematic errors in **frequency** detuning and Rabi **frequency**. Such protocol, relevant to **frequency** selectivity, is applied to rare-earth ions **qubit** system, where the excitation of **frequency**-neighboring **qubits** should be prevented as well. Furthermore, comparison with adiabatic complex hyperbolic secant pulses shows that these dedicated initialization pulses can reduce the time that ions spend in the excited state by a factor of 6, which is important in coherence time limited systems to approach an error rate manageable by quantum error correction. The approach may also be applicable to superconducting **qubits**, and any other systems where **qubits** are addressed in **frequency**. ... High-fidelity **qubit** initialization is of significance for efficient error correction in fault tolerant quantum algorithms. Combining two best worlds, speed and robustness, to achieve high-fidelity state preparation and manipulation is challenging in quantum systems, where **qubits** are closely spaced in **frequency**. Motivated by the concept of shortcut to adiabaticity, we theoretically propose the shortcut pulses via inverse engineering and further optimize the pulses with respect to systematic errors in **frequency** detuning and Rabi **frequency**. Such protocol, relevant to **frequency** selectivity, is applied to rare-earth ions **qubit** system, where the excitation of **frequency**-neighboring **qubits** should be prevented as well. Furthermore, comparison with adiabatic complex hyperbolic secant pulses shows that these dedicated initialization pulses can reduce the time that ions spend in the excited state by a factor of 6, which is important in coherence time limited systems to approach an error rate manageable by quantum error correction. The approach may also be applicable to superconducting **qubits**, and any other systems where **qubits** are addressed in **frequency**.

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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: Timmes, F. X, Townsend, Richard H. D., Bauer, Evan B., Thoul, Anne, Fields, C. E., Wolf, William M.

Date: 2019-03-10

MESA inlists associated with The Impact of White Dwarf Luminosity Profiles on **Oscillation** **Frequencies**
... MESA inlists associated with The Impact of White Dwarf Luminosity Profiles on **Oscillation** **Frequencies**

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

Date: 2016-12-18

injection locked **oscillator**...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).
... 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: Qasem M. Al-Mdallal

Date: 2012-04-25

Lock-on; streamwise **oscillation**; transverse
**oscillation**; fluid forces...This paper presents results obtained from the
numerical solution for the flow past an **oscillating** circular cylinder at
Reynolds number of 200. The **frequency** of **oscillation** was fixed to
the vortex shedding **frequency** from a fixed cylinder, f0, while the
amplitudes of **oscillations** were varied from to 1.1a, where a
represents the radius of the cylinder. The response of the flow
through the fluid forces acting on the surface of the cylinder are
investigated. The lock-on phenomenon is captured at low **oscillation**
amplitudes. ... This paper presents results obtained from the
numerical solution for the flow past an **oscillating** circular cylinder at
Reynolds number of 200. The **frequency** of **oscillation** was fixed to
the vortex shedding **frequency** from a fixed cylinder, f0, while the
amplitudes of **oscillations** were varied from to 1.1a, where a
represents the radius of the cylinder. The response of the flow
through the fluid forces acting on the surface of the cylinder are
investigated. The lock-on phenomenon is captured at low **oscillation**
amplitudes.

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Contributors: Mohammad Taghi Darvishi, Samad Kheybari

Date: 2011-08-28

classical Van der Pol **oscillator**....In this article, we are dealing with a model consisting of a classical Van der Pol **oscillator** coupled gyroscopically to a linear **oscillator**. The major problem is analyzed. The regular dynamics of the system is considered using analytical methods. In this case, we provide an approximate solution for this system using parameter-expansion method. Also, we find approximate values for **frequencies** of the system. In parameter-expansion method the solution and unknown **frequency** of **oscillation** are expanded in a series by a bookkeeping parameter. By imposing the non-secularity condition at each order in the expansion the method provides different approximations to both the solution and the **frequency** of **oscillation**. One iteration step provides an approximate solution which is valid for the whole solution domain. ... In this article, we are dealing with a model consisting of a classical Van der Pol **oscillator** coupled gyroscopically to a linear **oscillator**. The major problem is analyzed. The regular dynamics of the system is considered using analytical methods. In this case, we provide an approximate solution for this system using parameter-expansion method. Also, we find approximate values for **frequencies** of the system. In parameter-expansion method the solution and unknown **frequency** of **oscillation** are expanded in a series by a bookkeeping parameter. By imposing the non-secularity condition at each order in the expansion the method provides different approximations to both the solution and the **frequency** of **oscillation**. One iteration step provides an approximate solution which is valid for the whole solution domain.

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Contributors: Jorge Guillermo Calderón-Guizar, Miguel Ramírez-González, Rafael Castellanos-Bustamante

Date: 2017-03-16

Modal analysis, complex modes, low **frequency** **oscillations**, participation factors, electrical power systems, electromechanical transients, small-signal stability, transient stability...There is a typical dynamical performance associated with every system. **Oscillations** are phenomena inherent to dynamical systems and the analysis of such phenomena is a fundamental issue for understanding the dynamical behavior of a particular system. Knowledge of the system natural modes, **frequencies** and its associated dampingratio, provide valuable information regarding the system performance after being subjected to a disturbance. Due to the operational requirements, topological changes in the transmission network of the electrical power systems are quite common. This causes modification in both **frequency** and damping values of the natural system modes. In the past, normal changes in the operating condition have kicked up undamped power **oscillations** in the Mexican system, thus assessing the damping of critical **oscillation** modes of the system is of utmost importance. This paper reports on the application of modal analysis and time domain simulations for computing and tracking the most dominant low **frequency** **oscillations**, also known as interarea modes, in the Mexican power system under different operating conditions. As a result, the most influential system variables on the low **frequency** **oscillations** have been identified ... There is a typical dynamical performance associated with every system. **Oscillations** are phenomena inherent to dynamical systems and the analysis of such phenomena is a fundamental issue for understanding the dynamical behavior of a particular system. Knowledge of the system natural modes, **frequencies** and its associated dampingratio, provide valuable information regarding the system performance after being subjected to a disturbance. Due to the operational requirements, topological changes in the transmission network of the electrical power systems are quite common. This causes modification in both **frequency** and damping values of the natural system modes. In the past, normal changes in the operating condition have kicked up undamped power **oscillations** in the Mexican system, thus assessing the damping of critical **oscillation** modes of the system is of utmost importance. This paper reports on the application of modal analysis and time domain simulations for computing and tracking the most dominant low **frequency** **oscillations**, also known as interarea modes, in the Mexican power system under different operating conditions. As a result, the most influential system variables on the low **frequency** **oscillations** have been identified

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Contributors: de Cheveigné, Alain, Arzounian, Dorothée

Date: 2015-09-27

Objective. **Oscillations** are an important aspect of brain activity, but they often have a low signal- to-noise ratio (SNR) due to source-to-electrode mixing with competing brain activity and noise. Filtering can improve the SNR of narrowband signals, but it introduces ringing effects that may masquerade as genuine **oscillations**, leading to uncertainty as to the true oscillatory nature of the phenomena. Likewise, time–**frequency** analysis kernels have a temporal extent that blurs the time course of narrowband activity, introducing uncertainty as to timing and causal relations between events and/or **frequency** bands. Approach. Here, we propose a methodology that reveals narrowband activity within multichannel data such as electroencephalography, magnetoencephalography, electrocorticography or local field potential. The method exploits the between-channel correlation structure of the data to suppress competing sources by joint diagonalization of the covariance matrices of narrowband filtered and unfiltered data. Main results. Applied to synthetic and real data, the method effectively extracts narrowband components at unfavorable SNR. Significance. Oscillatory components of brain activity, including weak sources that are hard or impossible to observe using standard methods, can be detected and their time course plotted accurately. The method avoids the temporal artifacts of standard filtering and time–**frequency** analysis methods with which it remains complementary.
... Objective. **Oscillations** are an important aspect of brain activity, but they often have a low signal- to-noise ratio (SNR) due to source-to-electrode mixing with competing brain activity and noise. Filtering can improve the SNR of narrowband signals, but it introduces ringing effects that may masquerade as genuine **oscillations**, leading to uncertainty as to the true oscillatory nature of the phenomena. Likewise, time–**frequency** analysis kernels have a temporal extent that blurs the time course of narrowband activity, introducing uncertainty as to timing and causal relations between events and/or **frequency** bands. Approach. Here, we propose a methodology that reveals narrowband activity within multichannel data such as electroencephalography, magnetoencephalography, electrocorticography or local field potential. The method exploits the between-channel correlation structure of the data to suppress competing sources by joint diagonalization of the covariance matrices of narrowband filtered and unfiltered data. Main results. Applied to synthetic and real data, the method effectively extracts narrowband components at unfavorable SNR. Significance. Oscillatory components of brain activity, including weak sources that are hard or impossible to observe using standard methods, can be detected and their time course plotted accurately. The method avoids the temporal artifacts of standard filtering and time–**frequency** analysis methods with which it remains complementary.

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