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...
Underflow Gates01:30

Underflow Gates

Underflow gates are vital for controlling water flow in irrigation canals. The three main types of underflow gates — vertical, radial, and drum gates — serve different purposes while ensuring effective flow management. Vertical gates move up and down, generating a free-flowing water jet; radial gates pivot to regulate the flow; and drum gates rotate for precise adjustments. The flow through these gates is influenced by downstream conditions, resulting in free or drowned outflow.Free and Drowned...
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...
Free Energy Changes for Nonstandard States03:25

Free Energy Changes for Nonstandard States

The free energy change for a process taking place with reactants and products present under nonstandard conditions (pressures other than 1 bar; concentrations other than 1 M) is related to the standard free energy change according to this equation:
Design Example: Forces in Sluice Gate01:11

Design Example: Forces in Sluice Gate

In hydraulic engineering, sluice gates are essential for managing water flow through channels, reservoirs, and irrigation systems. Sluice gates, acting as vertical barriers, regulate water by adjusting the gate's opening height, which changes the velocity and pressure of water flowing beneath the gate. Understanding the forces involved is crucial to designing sluice gates that can withstand dynamic pressure differences, especially when the gate is closed or partially open.
Key variables in...

You might also read

Related Articles

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

Sort by
Same author

Demonstration of a tunable non-Hermitian nonlinear microwave dimer.

Nature communications·2025
Same author

Topology by Dissipation: Majorana Bosons in Metastable Quadratic Markovian Dynamics.

Physical review letters·2021
Same author

Non-Gaussian noise spectroscopy with a superconducting qubit sensor.

Nature communications·2019
Same author

Exact Solution of Quadratic Fermionic Hamiltonians for Arbitrary Boundary Conditions.

Physical review letters·2016
Same author

Qubit Noise Spectroscopy for Non-Gaussian Dephasing Environments.

Physical review letters·2016
Same author

General transfer-function approach to noise filtering in open-loop quantum control.

Physical review letters·2015
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: Jun 25, 2026

Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots
15:47

Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots

Published on: November 1, 2013

Dynamically error-corrected gates for universal quantum computation.

Kaveh Khodjasteh1, Lorenza Viola

  • 1Department of Physics and Astronomy, Dartmouth College, 6127 Wilder Laboratory, Hanover, New Hampshire 03755, USA.

Physical Review Letters
|March 5, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for creating accurate quantum gates, essential for scalable quantum computing. The technique enhances robustness against errors using Hamiltonian engineering, simplifying fault-tolerant architectures.

Related Experiment Videos

Last Updated: Jun 25, 2026

Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots
15:47

Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots

Published on: November 1, 2013

Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Error Correction

Background:

  • Scalable quantum computation demands precise control in realistic devices, facing challenges from decoherence and operational errors.
  • Current fault-tolerant architectures often require significant overhead for error correction, limiting practical implementation.
  • Developing robust quantum gates is crucial for advancing quantum computing capabilities.

Purpose of the Study:

  • To propose a general constructive procedure for designing robust unitary gates on open quantum systems.
  • To develop a low-level error correction strategy without encoding or measurement overhead.
  • To reduce the implementation requirements for fault-tolerant quantum computing.

Main Methods:

  • A general constructive procedure for designing robust unitary gates.
  • Hamiltonian engineering using realistic bounded-strength controls.
  • Analysis of gate performance in open quantum systems.

Main Results:

  • A novel method for creating robust unitary gates on open quantum systems.
  • Demonstration of a low-level error correction strategy based solely on Hamiltonian engineering.
  • Significant reduction in implementation requirements for fault-tolerant quantum computing.

Conclusions:

  • The proposed procedure enables the design of robust quantum gates, crucial for scalable quantum computation.
  • Hamiltonian engineering offers an efficient low-level error correction strategy, reducing overhead.
  • This approach may substantially lower the barrier to implementing fault-tolerant quantum computing architectures.