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Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
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Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
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Parseval's Theorem for Fourier transform01:15

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Parseval's theorem is a fundamental principle in signal processing that enables the calculation of a signal's energy in either the time domain or the frequency domain. This theorem is pivotal in demonstrating energy conservation between these two domains, ensuring that the computed energy value remains consistent regardless of the domain of analysis.
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Related Experiment Video

Updated: Jun 10, 2025

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
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Quantum Fluctuation Theorem for Arbitrary Measurement and Feedback Schemes.

Kacper Prech1, Patrick P Potts1

  • 1Department of Physics, <a href="https://ror.org/02s6k3f65">University of Basel</a>, Klingelbergstrasse 82, 4056 Basel, Switzerland.

Physical Review Letters
|October 18, 2024
PubMed
Summary
This summary is machine-generated.

We derived a new fluctuation theorem and second law of information thermodynamics applicable to all feedback control scenarios, even with strong continuous measurements. This provides a bound on entropy production using experimentally accessible quantities.

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Area of Science:

  • Quantum thermodynamics
  • Information thermodynamics
  • Statistical mechanics

Background:

  • Fluctuation theorems and the second law of thermodynamics constrain out-of-equilibrium systems.
  • Existing generalizations for feedback-controlled quantum systems have limitations with strong, continuous measurements.

Purpose of the Study:

  • To derive a novel fluctuation theorem and second law of information thermodynamics.
  • To ensure applicability in arbitrary feedback control scenarios, including strong continuous measurements.

Main Methods:

  • Derivation of a generalized fluctuation theorem.
  • Formulation of a second law of information thermodynamics applicable to feedback control.
  • Analysis of a qubit system under discrete and continuous measurements.

Main Results:

  • A new fluctuation theorem applicable to arbitrary feedback control is established.
  • The derived second law bounds entropy production by inferrable coarse-grained entropy.
  • This bound remains valid even under strong, continuous measurements and does not diverge.

Conclusions:

  • The developed framework extends the applicability of fluctuation theorems and the second law of thermodynamics.
  • The results offer a practical tool for analyzing entropy production in quantum feedback systems.
  • The study demonstrates the utility of the approach with a qubit example.