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

Linear time-invariant Systems01:23

Linear time-invariant Systems

893
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
893
Quantum Numbers02:43

Quantum Numbers

49.5K
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.
49.5K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

56.8K
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.
56.8K
Translation01:31

Translation

156.0K
Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of...
156.0K
Translation01:31

Translation

17.7K
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Proteins are...
17.7K
Initiation of Translation02:33

Initiation of Translation

38.5K
Initiating translation is complex because it involves multiple molecules. Initiator tRNA, ribosomal subunits, and eukaryotic initiation factors (eIFs) are all required to assemble on the initiation codon of mRNA. This process consists of several steps that are mediated by different eIFs.
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...
38.5K

You might also read

Related Articles

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

Sort by
Same author

Three-Carrier Spin Blockade and Coupling in Bilayer Graphene Double Quantum Dots.

Physical review letters·2024
Same author

Diamond spins making waves again.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

Ultra-narrow inhomogeneous spectral distribution of telecom-wavelength vanadium centres in isotopically-enriched silicon carbide.

Nature communications·2023
Same author

Fingerprints of Qubit Noise in Transient Cavity Transmission.

Physical review letters·2022
Same author

Dynamics of Hole Singlet-Triplet Qubits with Large g-Factor Differences.

Physical review letters·2022
Same author

Theory of valley-resolved spectroscopy of a Si triple quantum dot coupled to a microwave resonator.

Journal of physics. Condensed matter : an Institute of Physics journal·2019
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: Jan 27, 2026

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

Efficient Quantum Simulation for Translationally Invariant Systems.

Joris Kattemölle1, Guido Burkard1

  • 1University of Konstanz, Department of Physics, D-78457 Konstanz, Germany.

Physical Review Letters
|January 26, 2026
PubMed
Summary
This summary is machine-generated.

Researchers leverage spatial symmetry in quantum circuits to overcome device limitations in quantum simulations. This significantly reduces computation time for condensed matter physics and lattice gauge theories, enhancing quantum computing capabilities.

More Related Videos

Author Spotlight: Polysome Profiling Protocol for Studying Translational Regulation in Arabidopsis Under Heat Stress
08:39

Author Spotlight: Polysome Profiling Protocol for Studying Translational Regulation in Arabidopsis Under Heat Stress

Published on: October 11, 2024

2.2K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.2K

Related Experiment Videos

Last Updated: Jan 27, 2026

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
Author Spotlight: Polysome Profiling Protocol for Studying Translational Regulation in Arabidopsis Under Heat Stress
08:39

Author Spotlight: Polysome Profiling Protocol for Studying Translational Regulation in Arabidopsis Under Heat Stress

Published on: October 11, 2024

2.2K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.2K

Area of Science:

  • Condensed matter physics
  • Quantum computation
  • Lattice gauge theories

Background:

  • Discrete translational symmetry is crucial in condensed matter physics and lattice gauge theories.
  • Quantum simulations offer insights but are hindered by device connectivity constraints and long computation times.

Purpose of the Study:

  • To extend the application of spatial symmetry from physical systems to the quantum circuits used for simulation.
  • To algorithmically alleviate device connectivity constraints in quantum simulations.

Main Methods:

  • Applying spatial symmetry principles to quantum circuit design.
  • Developing algorithmic approaches to optimize circuit layout based on system symmetry.

Main Results:

  • Significant reduction in quantum computational time (several orders of magnitude) for simulations.
  • Feasibility of complex simulations for condensed matter systems and lattice gauge theories.
  • Enhanced performance even before hardware improvements.

Conclusions:

  • Spatial symmetry in quantum circuits is a powerful tool for overcoming hardware limitations.
  • This approach substantially enhances quantum computer capabilities for scientific simulations.
  • Provides a foundation for using spatial symmetry in quantum error correction and other quantum computation areas.