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

49.4K
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.
49.4K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

56.7K
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.
56.7K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

5.0K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
5.0K
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

1.4K
Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
1.4K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

244
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
244
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K

You might also read

Related Articles

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

Sort by
Same author

Synergistic Co-Passivation via Ultrasmall Molecules for Efficient and Stable Perovskite Solar Cells.

ACS applied materials & interfaces·2026
Same author

Bridging Microscopic Interfacial Water and Macroscopic Wettability for Enhanced Hydrogen Evolution Reaction.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Author Correction: Bose-Einstein condensation of a two-magnon bound state in a spin-1 triangular lattice.

Nature materials·2026
Same author

Picosecond-scale coherent toggle switching of topological spin helicity.

Nature nanotechnology·2026
Same author

Development of an Expert Consensus on Electroacupuncture for Trigeminal Neuralgia Using the Delphi Method: A Study Protocol.

Journal of pain research·2026
Same author

Microgravity-enabled growth of uniform InAsSb bulk single crystal.

NPJ microgravity·2026
Same journal

Interplay between oxygen redox and interfacial stability of Li-rich positive electrodes in sulfide-based all-solid-state batteries.

Nature communications·2026
Same journal

Breaking dependence on melanisation imparts diversity to a dogmatic invasion strategy of phytopathogenic fungi.

Nature communications·2026
Same journal

Hydroxyl-rich nanocavities on perovskite enable nearly barrierless intramolecular hydrogen transfer for nitrate electroreduction to ammonia.

Nature communications·2026
Same journal

Household mobility responses to weather extremes in Kyrgyzstan.

Nature communications·2026
Same journal

Autonomous Motion Vision with Tri-bulk-heterojunctioned Organic Adaptation Transistor.

Nature communications·2026
Same journal

Tissue-adhesive hydrogel optical fiber for peripheral optogenetic neuromodulation.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Jan 22, 2026

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

10.3K

Distributed multi-parameter quantum metrology with a superconducting quantum network.

Jiajian Zhang1, Lingna Wang2, Yong-Ju Hai1

  • 1International Quantum Academy, Shenzhen, China.

Nature Communications
|January 20, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed distributed multiparameter quantum metrology using superconducting quantum networks. This approach enhances precision in measuring remote vector fields and their gradients across networked quantum systems.

More Related Videos

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
Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping
14:58

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Published on: June 3, 2015

15.4K

Related Experiment Videos

Last Updated: Jan 22, 2026

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

10.3K
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
Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping
14:58

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Published on: June 3, 2015

15.4K

Area of Science:

  • Quantum physics
  • Quantum information science
  • Networked quantum systems

Background:

  • Quantum metrology offers advanced precision for sensing and measurement.
  • Distributed quantum metrology extends these capabilities to networked systems.
  • Scalable multiparameter estimation in distributed quantum systems faces challenges in entanglement distribution and parameter incompatibility.

Purpose of the Study:

  • To demonstrate distributed multiparameter quantum metrology on a superconducting quantum network.
  • To overcome limitations in scalability and entanglement distribution for networked quantum sensing.
  • To achieve enhanced precision in estimating vector fields and their gradients across spatially separated quantum nodes.

Main Methods:

  • Utilized a modular superconducting quantum network with low-loss microwave interconnects.
  • Implemented a control-enhanced sequential protocol for multiparameter estimation.
  • Employed deterministic non-local entanglement generation and adaptive control within the network.

Main Results:

  • Achieved up to 13.72 dB precision improvement in estimating all three components of a remote vector field compared to individual strategies.
  • Demonstrated direct estimation of vector field gradients, realizing a 3.44 dB gain over local entanglement strategies.
  • Showcased the capability of superconducting quantum networks for distributed quantum metrology.

Conclusions:

  • Superconducting quantum networks provide a scalable and reconfigurable platform for advanced distributed quantum metrology.
  • The demonstrated control-enhanced sequential protocol effectively addresses multiparameter estimation challenges in networked quantum systems.
  • This work advances the practical implementation of distributed quantum sensing with enhanced precision.