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

Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
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...
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...
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...
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra. Schrödinger...

You might also read

Related Articles

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

Sort by
Same author

ER to: Effects of peripartal rumen-derived direct-fed microbial supplementation on lactation performance, metabolism, ruminal fermentation, and microbial abundance in dairy cows.

Journal of dairy science·2026
Same author

Personalized musculoskeletal models show that gait biofeedback alters knee cartilage contact mechanics in ACL-reconstructed subjects.

Journal of biomechanics·2026
Same author

Digital quantum magnetism on a trapped-ion quantum computer.

Nature·2026
Same author

Evolution of magnetic bubble domains in the uniaxial ferromaget CeRu<sub>2</sub>Ga<sub>2</sub>B inferred from the Hall effect and ac magnetic susceptibility.

Journal of physics. Condensed matter : an Institute of Physics journal·2025
Same author

Radiotherapy quality assurance of patients with squamous cell carcinoma of the head and neck included in the DAHANCA 19 randomised phase III trial.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2025
Same author

Fungal Planet description sheets: 1781-1866.

Persoonia·2025
Same journal

Retraction Note: NSD2 targeting reverses plasticity and drug resistance in prostate cancer.

Nature·2026
Same journal

Enhanced B cell priming induces broadly neutralizing HIV-1 apex antibodies.

Nature·2026
Same journal

Vaccination elicits HIV broadly neutralizing antibodies in primates.

Nature·2026
Same journal

Child online safety needs more than social-media bans.

Nature·2026
Same journal

Ebola preparedness must start with ecosystems and before humans show symptoms.

Nature·2026
Same journal

AI tools can speed up thinking, but evidence still comes from the lab bench.

Nature·2026
See all related articles

Related Experiment Video

Updated: Jun 12, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Improved quantum processor logical error rates via correction and detection.

A Paetznick1, B W Reichardt1, M P da Silva1

  • 1Microsoft Quantum, Redmond, WA, USA.

Nature
|June 10, 2026
PubMed
Summary
This summary is machine-generated.

Researchers demonstrated significant improvements in quantum error correction, reducing logical error rates by up to 800x on a trapped-ion quantum computer. This advancement is crucial for fault-tolerant quantum computation in physics and chemistry.

Related Experiment Videos

Last Updated: Jun 12, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Error Correction

Background:

  • Performing complex quantum algorithms requires significantly lower error rates than current quantum computers achieve.
  • Achieving low logical error rates necessitates quantum error correction and physical error rates below a critical threshold.

Purpose of the Study:

  • To experimentally demonstrate improvements in logical error rates using quantum error correction on a trapped-ion quantum computer.
  • To showcase the effectiveness of optimized quantum error correction codes for ion-trap processors.

Main Methods:

  • Utilized a trapped-ion quantum charge-coupled device (QCCD) architecture.
  • Implemented two optimized quantum error correction codes: a 12-qubit code and a 16-qubit tesseract colour code.
  • Employed a scalable method for error detection and post-selection.

Main Results:

  • Achieved logical error rate improvements ranging from 11× to 800× compared to physical circuit baselines.
  • Demonstrated successful suppression of errors in non-trivial quantum circuit computations.
  • Showcased the practical application of fault tolerance in current quantum devices.

Conclusions:

  • State-of-the-art quantum devices can leverage fault tolerance and error correction to significantly reduce errors.
  • Optimized quantum error correction codes and techniques are effective in improving logical error rates.
  • Experimental validation paves the way for more reliable quantum computation in critical applications.