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

Random Error01:04

Random Error

9.1K
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...
9.1K
Random Variables01:09

Random Variables

17.6K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.6K
Randomized Experiments01:13

Randomized Experiments

8.9K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
8.9K
Random and Systematic Errors01:20

Random and Systematic Errors

14.6K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.6K
Random Sampling Method01:09

Random Sampling Method

14.3K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
14.3K
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

242
Body:Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to...
242

You might also read

Related Articles

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

Sort by
Same author

Development and Validation of Quantitative Greyscale Analyses for the Detection of Aspiration-related Lung Pathophysiology in an Infant Pig Model.

Dysphagia·2026
Same author

Epidemiologic and clinical characteristics and outcomes of patients diagnosed with Southern Tick Associated Rash Illness (STARI) - 2018-2019.

Diagnostic microbiology and infectious disease·2025
Same author

Quantum computing requires high-performance software.

Science (New York, N.Y.)·2025
Same author

High-threshold and low-overhead fault-tolerant quantum memory.

Nature·2024
Same author

Quantum-enhanced Markov chain Monte Carlo.

Nature·2023
Same author

Generic Nonadditivity of Quantum Capacity in Simple Channels.

Physical review letters·2023
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: Jan 23, 2026

Stereoacuity Improvement using Random-Dot Video Games
06:25

Stereoacuity Improvement using Random-Dot Video Games

Published on: January 14, 2020

15.0K

Three-Qubit Randomized Benchmarking.

David C McKay1, Sarah Sheldon1, John A Smolin1

  • 1IBM T.J. Watson Research Center, Yorktown Heights, New York 10598, USA.

Physical Review Letters
|June 8, 2019
PubMed
Summary
This summary is machine-generated.

Scalable three-qubit randomized benchmarking (RB) was performed on transmon qubits. Three-qubit RB is crucial for evaluating quantum device performance, especially with increasing circuit complexity.

More Related Videos

Primer-Free Aptamer Selection Using A Random DNA Library
11:14

Primer-Free Aptamer Selection Using A Random DNA Library

Published on: July 26, 2010

25.4K
A Non-random Mouse Model for Pharmacological Reactivation of Mecp2 on the Inactive X Chromosome
08:27

A Non-random Mouse Model for Pharmacological Reactivation of Mecp2 on the Inactive X Chromosome

Published on: May 22, 2019

6.7K

Related Experiment Videos

Last Updated: Jan 23, 2026

Stereoacuity Improvement using Random-Dot Video Games
06:25

Stereoacuity Improvement using Random-Dot Video Games

Published on: January 14, 2020

15.0K
Primer-Free Aptamer Selection Using A Random DNA Library
11:14

Primer-Free Aptamer Selection Using A Random DNA Library

Published on: July 26, 2010

25.4K
A Non-random Mouse Model for Pharmacological Reactivation of Mecp2 on the Inactive X Chromosome
08:27

A Non-random Mouse Model for Pharmacological Reactivation of Mecp2 on the Inactive X Chromosome

Published on: May 22, 2019

6.7K

Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Quantum Error Correction

Background:

  • Scalable fidelity metrics are essential for advancing quantum computing as quantum circuits grow larger.
  • Existing metrics often focus on single- and two-qubit operations, potentially overlooking multiqubit performance.

Purpose of the Study:

  • To introduce and investigate three-qubit randomized benchmarking (RB) as a scalable fidelity metric for multiqubit quantum systems.
  • To assess the performance of a three-transmon qubit device using three-qubit RB.

Main Methods:

  • Implementation of three-qubit randomized benchmarking (RB) on a quantum device with three fixed-frequency transmon qubits.
  • Utilizing pairwise microwave-activated interactions (cross-resonance) for gate operations.
  • Introduction of simultaneous RB (combining one-, two-, and three-qubit gates) to predict multiqubit errors.

Main Results:

  • Measured three-qubit error per Clifford of 0.106 for all-to-all connectivity and 0.207 for linear connectivity.
  • Demonstrated that three-qubit errors can be predicted from one- and two-qubit errors using simultaneous RB under certain conditions.
  • Showed that introduced coherent errors significantly increased three-qubit error (0.302) in a manner not predicted by simultaneous RB, highlighting limitations of lower-order metrics.

Conclusions:

  • Three-qubit RB is a vital metric for accurately evaluating the performance of multiqubit quantum devices.
  • The study underscores the necessity of dedicated multiqubit fidelity metrics beyond single- and two-qubit benchmarks.
  • Results indicate that specific coherent errors can disproportionately impact three-qubit gate fidelity, necessitating advanced diagnostic tools.