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

Gaussian Elimination: Problem Solving01:30

Gaussian Elimination: Problem Solving

99
Systems of linear equations in several variables are pivotal in modeling complex scenarios involving multiple unknowns and constraints. Such systems are widely used in various fields to represent relationships where several conditions must be simultaneously satisfied. Each variable in the system corresponds to an unknown quantity, while each equation imposes a linear constraint, leading to a structured approach for analyzing and solving real-world problems.A system of three equations with three...
99
Gauss's Law01:07

Gauss's Law

9.1K
If a closed surface does not have any charge inside where an electric field line can terminate, then the electric field line entering the surface at one point must necessarily exit at some other point of the surface. Therefore, if a closed surface does not have any charges inside the enclosed volume, then the electric flux through the surface is zero. What happens to the electric flux if there are some charges inside the enclosed volume? Gauss's law gives a quantitative answer to this question.
9.1K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.5K
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...
1.5K
Underflow Gates01:30

Underflow Gates

267
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...
267
Design Example: Forces in Sluice Gate01:11

Design Example: Forces in Sluice Gate

2.5K
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...
2.5K
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.6K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.6K

You might also read

Related Articles

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

Sort by
Same author

Geometry and dynamics of annealed optimization in the coherent Ising machine with hidden and planted solutions.

Physical review. E·2026
Same author

Programmable on-chip nonlinear photonics.

Nature·2025
Same author

Training of physical neural networks.

Nature·2025
Same author

Quantum-limited stochastic optical neural networks operating at a few quanta per activation.

Nature communications·2025
Same author

Political Parties and Household Food Insecurity Among Canadian Provinces: A Panel Data Analysis, 2005-2014.

Social work in public health·2024
Same author

Microwave signal processing using an analog quantum reservoir computer.

Nature communications·2024
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: Dec 15, 2025

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

16.8K

Engineering a Kerr-Based Deterministic Cubic Phase Gate via Gaussian Operations.

Ryotatsu Yanagimoto1, Tatsuhiro Onodera1,2,3, Edwin Ng1

  • 1E. L. Ginzton Laboratory, Stanford University, Stanford, California 94305, USA.

Physical Review Letters
|July 9, 2020
PubMed
Summary
This summary is machine-generated.

We present a new method for a deterministic, measurement-free cubic phase gate in quantum computing. This approach significantly reduces gate errors with increased squeezing, showing experimental viability for continuous-variable quantum information processing.

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

14.9K
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

15.3K

Related Experiment Videos

Last Updated: Dec 15, 2025

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

16.8K
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

14.9K
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

15.3K

Area of Science:

  • Quantum Information Processing
  • Quantum Optics
  • Nonlinear Optics

Background:

  • Continuous-variable (CV) quantum information processing relies on quantum gates for computation.
  • Implementing deterministic, measurement-free gates is crucial for efficient CV quantum computing.
  • Optical Kerr nonlinearity offers a pathway for implementing quantum gates.

Purpose of the Study:

  • To propose a deterministic, measurement-free implementation of a cubic phase gate for CV quantum information processing.
  • To engineer the evolution of quantum states using displacement, squeezing, and Kerr nonlinearity.
  • To analyze the gate error and fidelity in the presence of linear loss.

Main Methods:

  • Utilizing displacement and squeezing operations to engineer quantum state evolution.
  • Exploiting optical Kerr nonlinearity to achieve a cubic phase Hamiltonian.
  • Analyzing the dependence of cubic phase gate error on quadrature squeezing and linear loss.

Main Results:

  • Demonstrated a deterministic, measurement-free cubic phase gate implementation.
  • Showed that gate error decreases inverse quartically with quadrature squeezing.
  • Achieved high fidelity generation of approximate cubic phase states with a low nonlinearity-to-loss ratio.

Conclusions:

  • The proposed scheme offers a viable route for implementing essential quantum gates in CV systems.
  • The method is robust against linear loss and shows potential for near-term experimental realization.
  • All-optical platforms, such as those using quantum solitons, are promising for this approach.