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Related Concept Videos

Types of Damping01:20

Types of Damping

If the amount of damping in a system is gradually increased, the period and frequency start to become affected because damping opposes, and hence slows, the back and forth motion (the net force is smaller in both directions). If there is a very large amount of damping, the system does not even oscillate; instead, it slowly moves toward equilibrium. In brief, an overdamped system moves slowly towards equilibrium, whereas an underdamped system moves quickly to equilibrium but will oscillate about...
Concept of Resonance and its Characteristics01:19

Concept of Resonance and its Characteristics

If a driven oscillator needs to resonate at a specific frequency, then very light damping is required. An example of light damping includes playing piano strings and many other musical instruments. Conversely, to achieve small-amplitude oscillations as in a car's suspension system, heavy damping is required. Heavy damping reduces the amplitude, but the tradeoff is that the system responds at more frequencies. Speed bumps and gravel roads prove that even a car's suspension system is not immune...
Modified-Release Drug Delivery Systems: Rate-Programmed I01:22

Modified-Release Drug Delivery Systems: Rate-Programmed I

Rate-programmed drug delivery systems (DDS) are designed to release drugs at specific, controlled rates to maintain consistent therapeutic levels. These systems are categorized based on their release mechanisms, including dissolution-controlled DDS, diffusion-controlled DDS, and combined dissolution-diffusion-controlled DDS.In dissolution-controlled DDS, the release rate depends on the slow dissolution of the drug itself or the surrounding matrix. Drugs with inherently slow dissolution rates,...
Damped Oscillations01:07

Damped Oscillations

In the real world, oscillations seldom follow true simple harmonic motion. A system that continues its motion indefinitely without losing its amplitude is termed undamped. However, friction of some sort usually dampens the motion, so it fades away or needs more force to continue. For example, a guitar string stops oscillating a few seconds after being plucked. Similarly, one must continually push a swing to keep a child swinging on a playground.
Although friction and other non-conservative...
Types of Responses of Series RLC Circuits01:11

Types of Responses of Series RLC Circuits

A second-order differential equation characterizes a source-free series RLC circuit, marking its distinct mathematical representation. The complete solution of this equation is a blend of two unique solutions, each linked to the circuit's roots expressed in terms of the damping factor and resonant frequency.
RLC Circuit as a Damped Oscillator01:30

RLC Circuit as a Damped Oscillator

An RLC circuit combines a resistor, inductor, and capacitor, connected in a series or parallel combination.
Consider a series RLC circuit. Here, the presence of resistance in the circuit leads to energy loss due to joule heating in the resistance. Therefore, the total electromagnetic energy in the circuit is no longer constant and decreases with time. Since the magnitude of charge, current, and potential difference continuously decreases, their oscillations are said to be damped. This is...

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Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator
07:42

Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator

Published on: December 15, 2021

Communication: Engineered tunable decay rate and controllable dissipative dynamics.

Zhiguo Lü1, Hang Zheng

  • 1Department of Physics, Shanghai Jiao Tong University, Shanghai 200240, China.

The Journal of Chemical Physics
|April 3, 2012
PubMed
Summary
This summary is machine-generated.

We found a way to reduce qubit decoherence and improve its quality factor by controlling quantum system dynamics. This method enhances quantum operations and combats coherence loss in quantum information processing.

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Area of Science:

  • Quantum physics
  • Quantum information science
  • Quantum computing

Background:

  • Quantum systems, such as qubits, are susceptible to decoherence, which limits their operational stability.
  • Dissipative dynamics and decoherence are major challenges in quantum information processing.
  • Understanding and controlling the interaction between a qubit and its environment is crucial for maintaining quantum coherence.

Purpose of the Study:

  • To investigate methods for steering the dissipative dynamics of a two-level system (qubit).
  • To explore the use of assisted tunneling and quantum-oscillator spin-boson models for coherence control.
  • To enhance the quality factor and suppress the decoherence rate of qubits.

Main Methods:

  • Utilizing a quantum-oscillator spin-boson model to describe the system.
  • Modulating an assisted tunneling degree of freedom to control qubit dynamics.
  • Analyzing the modulated dynamical susceptibility to probe system behavior.

Main Results:

  • Significant suppression of the qubit decoherence rate was achieved.
  • Simultaneous enhancement of the qubit's quality factor was observed.
  • The modulated dynamical susceptibility displayed a measurable multi-peak feature, indicating underlying structure.

Conclusions:

  • The interplay between coupled degrees of freedom and the qubit is vital for reducing dissipation.
  • The proposed strategy effectively expands the coherent regime of quantum operations.
  • This approach offers a potential solution to combat decoherence in quantum information processing.