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

Quantum Numbers02:43

Quantum Numbers

49.6K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
49.6K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

56.9K
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.
56.9K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

10.0K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
10.0K
Fundamental Attribution Error01:14

Fundamental Attribution Error

13.7K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.7K
Random Error01:04

Random Error

9.2K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.2K
Margin of Error01:27

Margin of Error

7.1K
The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
7.1K

You might also read

Related Articles

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

Sort by
Same author

Radiomics for the Detection and Prediction of Cancer Therapy-Related Cardiotoxicity.

JACC. Advances·2026
Same author

Scaling active spaces in simulations of surface reactions through sample-based quantum diagonalization.

Scientific reports·2026
Same author

Molecular Quantum Computations on a Protein.

Journal of chemical theory and computation·2026
Same author

Echocardiography in cardio-oncology: optimising service delivery.

Echo research and practice·2026
Same author

Nonequilibrium Thermodynamics of Precision through a Quantum-Centric Computation.

Physical review letters·2025
Same author

A call to action: improving access to cardiac MRI for diagnosis of immune checkpoint inhibitor related myocarditis in low and middle income countries.

Cardio-oncology (London, England)·2025
Same journal

Daily briefing: How cooperation built the world.

Nature·2026
Same journal

Deep-sea oddities and boatloads of other new species - June's best science images.

Nature·2026
Same journal

From cloning to gene-editing: the enduring legacy of Dolly the sheep.

Nature·2026
Same journal

Time to give hydration breaks the red card? What science says about keeping cool.

Nature·2026
Same journal

Universities are relying on AI-detection software to catch cheating. How well do the programs work?

Nature·2026
Same journal

Daily briefing: 'Cyborg' cockroaches breathe underwater with printed suit.

Nature·2026
See all related articles

Related Experiment Video

Updated: Jan 27, 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

1.1K

Error mitigation extends the computational reach of a noisy quantum processor.

Abhinav Kandala1, Kristan Temme2, Antonio D Córcoles2

  • 1IBM T. J. Watson Research Center, Yorktown Heights, NY, USA. akandala@us.ibm.com.

Nature
|March 29, 2019
PubMed
Summary
This summary is machine-generated.

This study demonstrates an error mitigation protocol to enhance quantum computation accuracy on superconducting processors. The method improves variational solutions for quantum chemistry and magnetism without hardware changes, boosting near-term quantum computing capabilities.

More Related Videos

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.2K
Evaluation of the Impact of a New Cooling Cell Processor System on Islet Cell Isolation Facility
05:21

Evaluation of the Impact of a New Cooling Cell Processor System on Islet Cell Isolation Facility

Published on: August 11, 2023

538

Related Experiment Videos

Last Updated: Jan 27, 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

1.1K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.2K
Evaluation of the Impact of a New Cooling Cell Processor System on Islet Cell Isolation Facility
05:21

Evaluation of the Impact of a New Cooling Cell Processor System on Islet Cell Isolation Facility

Published on: August 11, 2023

538

Area of Science:

  • Quantum Computing
  • Quantum Information Science

Background:

  • Quantum computation offers speed-ups but requires low error rates for qubits.
  • Achieving fault tolerance necessitates substantial qubits and quantum error correction.
  • Theoretical work suggests enhancing accuracy via extrapolation of noisy experiments.

Purpose of the Study:

  • To demonstrate an error mitigation protocol on a superconducting quantum processor.
  • To enhance the computational capability of quantum hardware without modifications.
  • To improve accuracy in variational optimization for quantum chemistry and magnetism.

Main Methods:

  • Implemented an error mitigation protocol based on extrapolating results from experiments with varying noise.
  • Applied the protocol to single- and two-qubit experiments.
  • Extended the protocol to variational optimization of Hamiltonians.

Main Results:

  • Successfully mitigated errors in canonical quantum experiments.
  • Achieved enhanced accuracy in variational solutions for quantum chemistry and magnetism.
  • Demonstrated suppression of incoherent errors leading to improved computational results.

Conclusions:

  • Error mitigation techniques significantly improve the accuracy of quantum computations.
  • This protocol enhances the capabilities of near-term quantum computing hardware.
  • No additional hardware modifications are required for implementation.