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

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...
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...
Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

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.
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...

You might also read

Related Articles

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

Sort by
Same author

Key issues review: useful autonomous quantum machines.

Reports on progress in physics. Physical Society (Great Britain)·2024
See all related articles

Related Experiment Video

Updated: Jul 8, 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

Nonstabilizerness and Error Resilience in Noisy Quantum Circuits.

Fabian Ballar Trigueros1, José Antonio Marín Guzmán2

  • 1University of Augsburg, Theoretical Physics III, Center for Electronic Correlations and Magnetism, Institute of Physics, 86135 Augsburg, Germany.

Physical Review Letters
|July 7, 2026
PubMed
Summary
This summary is machine-generated.

Noise can surprisingly boost quantum resources like nonstabilizerness in qubit systems. However, this effect is diminished in complex systems after encoding and decoding, despite initial microscopic generation.

Related Experiment Videos

Last Updated: Jul 8, 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

Area of Science:

  • Quantum Information Science
  • Many-Body Physics
  • Quantum Computing

Background:

  • Nonstabilizerness is a crucial resource for achieving quantum advantage.
  • Quantum systems are susceptible to noise, which typically degrades resources.
  • Understanding noise impact on nonstabilizerness is vital for quantum technologies.

Purpose of the Study:

  • To investigate the impact of different noise types on nonstabilizerness in many-body qubit systems.
  • To determine if non-unital noise channels can generate or enhance nonstabilizerness.
  • To analyze the behavior of nonstabilizerness under encoding-decoding protocols with realistic noise.

Main Methods:

  • Theoretical analysis of noise channels, specifically amplitude damping and depolarizing noise.
  • Investigation of an encoding-decoding protocol in many-body qubit systems.
  • Examination of nonstabilizerness dynamics under different noise conditions.

Main Results:

  • Amplitude damping noise can generate or enhance nonstabilizerness, unlike depolarizing noise.
  • In an encoding-decoding protocol, nonstabilizerness transitions do not necessarily correlate with decoding fidelity transitions.
  • Microscopic generation of nonstabilizerness by amplitude damping is suppressed at the collective level after encoding, decoding, and postselection.

Conclusions:

  • Realistic incoherent noise, like amplitude damping, can have complex effects on nonstabilizerness.
  • While noise can locally enhance nonstabilizerness, collective effects in many-body systems can suppress it.
  • The study reveals that many-body nonstabilizerness criticality can be suppressed by noise, even when it is microscopically generated.