Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mutation, Gene Flow, and Genetic Drift

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).

You might also read

Related Articles

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

Sort by

Same author

Breakdown of Disorder-Suppressed Floquet Heating under Two-Frequency Driving.

Physical review letters·2026

Same author

Nanodiamond Sensing of the Transmetalation Kinetics of Gd-DTPA in Individual Levitated Microdroplets.

The journal of physical chemistry. B·2026

Same author

Sensing with discrete time crystals.

Nature physics·2026

Same author

Out-of-time-order correlators bridge classical transport and quantum dynamics.

The Journal of chemical physics·2026

Same author

Loss-tolerant cross-Kerr enhancement via modulated squeezing.

Optics express·2025

Same author

Quantum Sensing in Micro-Architected Scaffolds.

ACS applied materials & interfaces·2025

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

Search research articles

Related Experiment Video

Updated: Feb 25, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Evolution-Free Hamiltonian Parameter Estimation through Zeeman Markers.

Daniel Burgarth¹, Ashok Ajoy²

¹Institute of Mathematics, Physics and Computer Science, Aberystwyth University, Aberystwyth SY23 3BZ, United Kingdom.

Physical Review Letters

|August 5, 2017

Summary

This summary is machine-generated.

This study introduces a novel Hamiltonian parameter estimation protocol using only the Zeeman effect. It simplifies measurements by focusing on spectral shifts from local fields, proving robust against noise.

More Related Videos

Rapid and Efficient Zebrafish Genotyping Using PCR with High-resolution Melt Analysis

Rapid and Efficient Zebrafish Genotyping Using PCR with High-resolution Melt Analysis

Published on: February 5, 2014

Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos

Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos

Published on: February 22, 2016

Related Experiment Videos

Last Updated: Feb 25, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Rapid and Efficient Zebrafish Genotyping Using PCR with High-resolution Melt Analysis

Rapid and Efficient Zebrafish Genotyping Using PCR with High-resolution Melt Analysis

Published on: February 5, 2014

Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos

Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos

Published on: February 22, 2016

Area of Science:

Quantum physics
Quantum information science
Spectroscopy

Background:

Hamiltonian parameter estimation is crucial for characterizing quantum systems.
Current methods often require complex, time-dependent measurements.
A simpler, noise-resilient approach is needed for practical quantum applications.

Purpose of the Study:

To develop a protocol for Hamiltonian parameter estimation relying solely on the Zeeman effect.
To eliminate the need for measuring time-dependent quantities.
To demonstrate the protocol's applicability across diverse quantum systems.

Main Methods:

Utilizing the Zeeman effect for parameter estimation.
Measuring spectral shifts induced by applied local fields (markers).
Numerical simulations to assess noise stability.

Main Results:

A protocol requiring only static spectral shift measurements was developed.
The method demonstrated stability against Gaussian noise in spectral measurements.
The protocol was shown to be applicable to tight-binding models, quantum spin chains, qubit networks, and harmonic oscillators.

Conclusions:

The proposed Zeeman-effect-based protocol offers a simplified and robust method for Hamiltonian parameter estimation.
This approach has broad applicability in various quantum systems and suggests feasible experimental implementations.
It paves the way for more accessible characterization of complex quantum devices.