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

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

2.0K
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...
2.0K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

8.3K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
8.3K
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

449
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
449
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

429
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
429
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

386
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
386
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

409
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
409

You might also read

Related Articles

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

Sort by
Same author

Quantum noise in ranging with optical pulses.

Optics letters·2026
Same author

Tension-Dependent Variability and Repeatability of Achilles Tendon UTE-T<sub>2</sub>* Mapping Using Mono- and Bi-Exponential Models.

NMR in biomedicine·2026
Same author

Semaglutide 2.4 mg for Obese Patients with MASH: A Cost-Effectiveness Analysis from the Italian NHS Perspective.

ClinicoEconomics and outcomes research : CEOR·2026
Same author

Coexistence of local and nonlocal shock waves in nanomaterials.

Optics express·2025
Same author

Improved Strength Prediction Combining MRI Biomarkers of Muscle Quantity and Quality.

NMR in biomedicine·2025
Same author

Hamstring muscle architecture and microstructure changes following Nordic hamstring exercise training and detraining.

Journal of sport and health science·2025
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Mar 3, 2026

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

15.1K

Private Remote Phase Estimation over a Lossy Quantum Channel.

Farzad Kianvash1, Marco Barbieri2,3,4, Matteo Rosati1

  • 1Università degli Studi Roma Tre, Dipartimento di Ingegneria Civile, Informatica e delle Tecnologie Aeronautiche, Via della Vasca Navale 79, 00146 Rome, Italy.

Physical Review Letters
|March 1, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new private remote quantum sensing protocol using continuous-variable states. Realistic channel modeling significantly improves the accuracy of estimating parameters and ensuring privacy against adversaries.

More Related Videos

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

8.9K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.4K

Related Experiment Videos

Last Updated: Mar 3, 2026

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

15.1K
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

8.9K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.4K

Area of Science:

  • Quantum Information Science
  • Quantum Communication
  • Quantum Sensing

Background:

  • Private remote quantum sensing aims to estimate parameters at a distance via quantum channels, balancing estimation performance with information leakage.
  • Existing bounds on estimation performance are loose without specific channel models, hindering practical applications.
  • Continuous-variable (CV) states offer potential for enhanced quantum sensing protocols.

Purpose of the Study:

  • To propose and analyze a novel private remote quantum sensing protocol utilizing continuous-variable states.
  • To quantify the estimation error and privacy of the protocol under realistic channel conditions.
  • To demonstrate the benefits of realistic channel modeling for improved sensing performance and security.

Main Methods:

  • Development of a single-user private remote sensing protocol with continuous-variable states.
  • Analysis of protocol performance under a class of lossy quantum channel attacks.
  • Application of quantum communication tools for calculating estimation error and privacy.
  • Investigation in both asymptotic (many channel uses) and finite-size regimes.

Main Results:

  • The proposed protocol effectively estimates parameters while limiting information leakage.
  • Realistic channel-model assumptions lead to a tighter quantification of estimation error and privacy.
  • The benefits of this approach are evident in both asymptotic and finite-size scenarios.
  • Measurement data validation of channel models enhances the reliability of the bounds.

Conclusions:

  • Continuous-variable states are suitable for private remote quantum sensing.
  • Realistic channel modeling is crucial for accurate performance evaluation in quantum sensing.
  • The developed protocol offers practical advantages for secure parameter estimation in quantum communication networks.