Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Uncertainty Principle04:08

The Uncertainty Principle

25.7K
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...
25.7K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.8K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.8K
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

384
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
384
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.1K
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...
1.1K
Sampling Theorem01:15

Sampling Theorem

813
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.
813
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

542
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
542

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Thermodynamic uncertainty relation for feedback cooling.

Physical review. E·2026
Same author

Symmetry and Topology of Successive Quantum Feedback Control.

Physical review letters·2026
Same author

Faster Quantum Algorithm for Multiple Observables Estimation.

Physical review letters·2026
Same author

Non-Haar Random Circuits form Unitary Designs as Fast as Haar Random Circuits.

Physical review letters·2026
Same author

Noise-Agnostic Unbiased Quantum Error Mitigation for Logical Qubits.

Physical review letters·2026
Same author

Experimentally achieving minimal dissipation via thermodynamically optimal transport.

Nature communications·2025

Related Experiment Video

Updated: Sep 23, 2025

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.5K

Quantum Fluctuation Theorem under Quantum Jumps with Continuous Measurement and Feedback.

Toshihiro Yada1, Nobuyuki Yoshioka1, Takahiro Sagawa1,2

  • 1Department of Applied Physics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.

Physical Review Letters
|May 16, 2022
PubMed
Summary

Researchers derived a generalized fluctuation theorem for quantum systems under continuous feedback, introducing quantum-classical-transfer entropy. This bridges quantum thermodynamics and information theory, with potential experimental verification in quantum systems.

More Related Videos

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

14.7K
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

9.8K

Related Experiment Videos

Last Updated: Sep 23, 2025

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.5K
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

14.7K
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

9.8K

Area of Science:

  • Quantum Thermodynamics
  • Quantum Information Theory
  • Statistical Mechanics

Background:

  • Classical fluctuation theorems are well-established under feedback control.
  • Quantum systems under continuous feedback and measurement remain underexplored regarding fluctuation theorems.

Purpose of the Study:

  • To derive a generalized fluctuation theorem for quantum systems subjected to continuous measurement and feedback.
  • To introduce a novel information measure connecting quantum and classical systems.

Main Methods:

  • Derivation of the generalized fluctuation theorem using quantum jump dynamics.
  • Introduction and definition of quantum-classical-transfer (QC-transfer) entropy.
  • Numerical simulations to verify theoretical findings.

Main Results:

  • Successful derivation of the generalized fluctuation theorem for quantum systems with continuous feedback.
  • Introduction of QC-transfer entropy as a quantum analogue of classical transfer entropy.
  • Validation of results through numerical simulations and a proposed hybrid verification method.

Conclusions:

  • Established a fundamental link between quantum thermodynamics and quantum information.
  • The derived theorem and QC-transfer entropy offer new tools for analyzing quantum systems.
  • Findings are experimentally testable using platforms like circuit quantum electrodynamics.