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

Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

13.5K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
13.5K
NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences01:17

NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences

1.9K
A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.
1.9K
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

15.7K
Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
15.7K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

515
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
515
Underflow Gates01:30

Underflow Gates

482
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...
482
Sequences01:29

Sequences

373
Sequences are fundamental mathematical objects consisting of ordered lists of numbers that follow a specific rule or pattern. Sequences are critical in various mathematical concepts, including calculus, series, and number theory. They can model real-world phenomena such as population growth, financial investments, and physical processes like the diminishing height of a bouncing ball.Each number in a sequence is referred to as a term. Typically, the terms are denoted as a1, a2, a3,…, where...
373

You might also read

Related Articles

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

Sort by
Same author

LAIOR: a hyperbolic neural ODE variational framework for interpretable single-cell manifold learning and trajectory inference.

Frontiers in genetics·2026
Same author

Global and Coalition Cognition Graph Modeling for Interpretable Multiagent Reinforcement Learning.

IEEE transactions on cybernetics·2026
Same author

The prognostic value of different HPV infection statuses in cervical cancer.

Scientific reports·2026
Same author

Atomic structures and physical properties at interfaces of Ti-based oxides.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same author

Integrated multi-omics characterization of SPTBN2 overexpression reveals its pro-tumorigenic role and immune microenvironment remodeling in colorectal cancer.

Frontiers in cell and developmental biology·2026
Same author

Efficacy of Berberine-Mediated Photodynamic Therapy Against Trichophyton rubrum Infection.

Lasers in surgery and medicine·2026
Same journal

Application of ephrin-B2 loaded glycol chitosan-silk fibroin hydrogel in the treatment of diabetic refractory wounds.

Scientific reports·2026
Same journal

International expert Delphi consensus on thromboprophylaxis in metabolic and bariatric surgery.

Scientific reports·2026
Same journal

Assessing the cross-region knowledge transfer capability of selected deep learning building vectorization methods in the context of available training datasets.

Scientific reports·2026
Same journal

Feasibility and preliminary effects of outdoor versus indoor cognitive-motor therapy in women with Alzheimer's disease: A randomized single-blind pilot study.

Scientific reports·2026
Same journal

Hallmarks of social action in the vocal turn-taking of wild common marmosets (Callithrix jacchus).

Scientific reports·2026
Same journal

Role and mechanism of AOPPs-induced NOX4-mediated ferroptosis in intervertebral disc degeneration.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Mar 13, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.8K

Learning robust pulses for generating universal quantum gates.

Daoyi Dong1, Chengzhi Wu2, Chunlin Chen2

  • 1School of Engineering and Information Technology, University of New South Wales, Canberra 2600, Australia.

Scientific Reports
|October 27, 2016
PubMed
Summary
This summary is machine-generated.

This study developed robust quantum control pulses using sampling-based learning. These pulses enable reliable universal quantum gate construction despite unavoidable system noises and fluctuations.

More Related Videos

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

15.1K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.3K

Related Experiment Videos

Last Updated: Mar 13, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.8K
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

15.1K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.3K

Area of Science:

  • Quantum Information Science
  • Quantum Computation
  • Control Theory

Background:

  • Implementing universal quantum gates is crucial for quantum computation.
  • Practical quantum systems are susceptible to inherent noises, disturbances, and fluctuations.
  • These imperfections limit the fidelity and reliability of quantum gate operations.

Purpose of the Study:

  • To develop a method for generating robust control pulses for universal quantum gates.
  • To mitigate the impact of environmental noise and system uncertainties on quantum gate performance.
  • To enhance the feasibility of building fault-tolerant quantum computers.

Main Methods:

  • Employed a sampling-based learning approach to discover control strategies.
  • Focused on optimizing control pulses to achieve insensitivity to external perturbations.
  • Utilized numerical simulations to validate the effectiveness of the learned pulses.

Main Results:

  • Identified control pulses that are robust against disturbances, uncertainties, and fluctuations.
  • Demonstrated the successful generation of universal quantum gates with high fidelity under noisy conditions.
  • Showcased the practical applicability of the developed method for real-world quantum systems.

Conclusions:

  • Sampling-based learning is an effective strategy for designing robust quantum control.
  • The developed robust control pulses significantly improve the reliability of universal quantum gate implementation.
  • This work contributes to advancing the development of practical and scalable quantum computing architectures.