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

Randomized Experiments01:13

Randomized Experiments

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...
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

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 subjects...
Random and Systematic Errors01:20

Random and Systematic Errors

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...
Random and Systematic Errors01:20

Random and Systematic Errors

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...
Random Sampling Method01:09

Random Sampling Method

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...

You might also read

Related Articles

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

Sort by
Same author

A millimeter-wave photometric camera for long-range imaging through optical obscurants using kinetic inductance detectors.

The Review of scientific instruments·2025
Same author

Hardware-efficient quantum error correction via concatenated bosonic qubits.

Nature·2025
Same author

Quantum computing requires high-performance software.

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

Erratum: "The Simons Observatory: Cryogenic half wave plate rotation mechanism for the small aperture telescopes" [Rev. Sci. Instrum. 95, 024504 (2024)].

The Review of scientific instruments·2025
Same author

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

Nature·2024
Same author

The Simons Observatory: Cryogenic half wave plate rotation mechanism for the small aperture telescopes.

The Review of scientific instruments·2024
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: May 14, 2026

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Characterization of addressability by simultaneous randomized benchmarking.

Jay M Gambetta1, A D Córcoles, S T Merkel

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

Physical Review Letters
|February 2, 2013
PubMed
Summary
This summary is machine-generated.

We developed a new method to measure qubit addressability in quantum systems. This protocol helps quantify and control errors from unwanted qubit interactions, improving quantum information processing.

Related Experiment Videos

Last Updated: May 14, 2026

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Superconducting Qubits

Background:

  • Cross talk and unwanted interactions in multiqubit systems pose significant challenges for quantum information processing.
  • Effective control and error handling are crucial for building reliable quantum architectures.

Purpose of the Study:

  • To introduce and implement a novel benchmarking protocol for quantifying qubit addressability.
  • To assess the impact of cross talk and unwanted qubit-qubit interactions on system performance.

Main Methods:

  • The protocol involves running randomized benchmarking experiments individually and simultaneously on pairs of coupled superconducting qubits.
  • A figure of merit for addressability is derived from the differences in measured average gate fidelities between individual and simultaneous experiments.

Main Results:

  • Results were obtained from two similar superconducting qubit samples with varying levels of cross talk and unwanted interactions.
  • The experimental outcomes align with theoretical predictions derived from models of classical cross talk and Stark shifts.

Conclusions:

  • The developed protocol effectively measures qubit addressability and provides insights into system-specific errors.
  • This method is valuable for characterizing and mitigating errors in multiqubit systems, advancing quantum information processing.