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Related Concept Videos

Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Feedback control systems01:26

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...

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Related Experiment Video

Updated: May 7, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Control of decoherence with no control.

Jun Jing1, Lian-Ao Wu

  • 11] Institute of Theoretical Physics and Department of Physics, Shanghai University, Shanghai 200444, China [2] Department of Theoretical Physics and History of Science, The Basque Country University (EHU/UPV), PO Box 644, 48080 Bilbao.

Scientific Reports
|September 27, 2013
PubMed
Summary
This summary is machine-generated.

Quantum decoherence can be controlled by increasing disorder using a white Poissonian noise field. This surprising finding in open quantum systems offers a novel approach to quantum control strategies.

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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Last Updated: May 7, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Area of Science:

  • Quantum mechanics
  • Control theory
  • Open quantum systems

Background:

  • Quantum decoherence, the loss of quantum information, is typically managed by imposing order.
  • Existing quantum control strategies focus on suppressing environmental noise through ordered methods.

Purpose of the Study:

  • To investigate the anomalous phenomenon of controlling quantum decoherence using disorder.
  • To explore the potential of highly disordered noise fields in quantum control.

Main Methods:

  • Theoretical prediction of a phenomenon in open quantum systems.
  • Analysis of decoherence suppression using a white Poissonian noise field.

Main Results:

  • Demonstration that decoherence can be suppressed by a highly disordered white noise field.
  • Identification of white Poissonian noise as a tool for suppressing quantum decoherence.

Conclusions:

  • The study reveals a counterintuitive method for quantum control: control of disorder by more disorder.
  • This finding presents a new paradigm and potential strategy for managing decoherence in quantum systems.