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

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.4K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.4K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

45
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
45
Biot-Savart Law: Problem-Solving00:59

Biot-Savart Law: Problem-Solving

2.5K
The magnitude and direction of a magnetic field created by a steady current can be calculated using the Biot-Savart law.
Consider a mobile phone battery bank as a source of steady current, which flows through the wire connected between the two. What is the magnitude of the magnetic field created by this current at a field point P?
To estimate the magnitude of the total magnetic field, we first consider a small current element of length dl, at a distance r from the field point. Now the following...
2.5K
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

49
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
49
Principle of Moments: Problem Solving01:30

Principle of Moments: Problem Solving

822
The principle of moments is a fundamental concept in physics and engineering. It refers to the balancing of forces and moments around a point or axis, also known as the pivot. This principle is used in many real-life scenarios, including construction, sports, and daily activities like opening doors and pushing objects.
One such scenario involves a pole placed in a three-dimensional system with a cable attached. When a tension is applied to the cable, the moment about the z-axis passing through...
822
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

590
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
590

You might also read

Related Articles

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

Sort by
Same author

Synthesis of 1,3-Dienes from Alkenes via Alkenyl Thianthrenium Salts.

Journal of the American Chemical Society·2026
Same author

Thianthrenium Chemistry for Identification of Protein-Protein Interactions in Cells.

Journal of the American Chemical Society·2025
Same author

Standardized Approach for Diversification of Complex Small Molecules via Aryl Thianthrenium Salts.

Journal of the American Chemical Society·2025
Same author

Late-Stage Diazoester Installation via Arylthianthrenium Salts.

Angewandte Chemie (International ed. in English)·2025
Same author

Synthesis of α-Branched Enones via Chloroacylation of Terminal Alkenes.

Angewandte Chemie (International ed. in English)·2023
Same author

Prophylactic effect of retromuscular mesh placement during loop ileostomy closure on incisional hernia incidence-a multicentre randomised patient- and observer-blind trial (P.E.L.I.O.N trial).

Trials·2023

Related Experiment Video

Updated: Jun 11, 2025

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

494

Quantum annealing for nearest neighbour compliance problem.

Sven Müller1, Frank Phillipson2,3

  • 1School of Business and Economics, Maastricht University, Minderbroedersberg 4, 6211 LK, Maastricht, The Netherlands.

Scientific Reports
|October 7, 2024
PubMed
Summary

Quantum Annealing offers a promising approach to solve the Nearest Neighbor Compliance (NNC) problem in quantum computing. However, current quantum hardware limitations, specifically in finding embeddings, hinder its practical application.

Keywords:
Gate-based quantum computersNearest neighbour compliance problemQuantum annealingSWAP optimisation

More Related Videos

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.1K
Combining X-Ray Crystallography with Small Angle X-Ray Scattering to Model Unstructured Regions of Nsa1 from S. Cerevisiae
09:15

Combining X-Ray Crystallography with Small Angle X-Ray Scattering to Model Unstructured Regions of Nsa1 from S. Cerevisiae

Published on: January 10, 2018

9.9K

Related Experiment Videos

Last Updated: Jun 11, 2025

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

494
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.1K
Combining X-Ray Crystallography with Small Angle X-Ray Scattering to Model Unstructured Regions of Nsa1 from S. Cerevisiae
09:15

Combining X-Ray Crystallography with Small Angle X-Ray Scattering to Model Unstructured Regions of Nsa1 from S. Cerevisiae

Published on: January 10, 2018

9.9K

Area of Science:

  • Quantum Computing
  • Computational Complexity
  • Quantum Information Science

Background:

  • Gate-based quantum computers have constraints where quantum gates must operate on adjacent qubits.
  • The Nearest Neighbor Compliance (NNC) problem addresses these constraints by optimizing SWAP-gate insertions.
  • Minimizing SWAP-gate count is crucial for efficient quantum computation.

Purpose of the Study:

  • To explore the application of Quantum Annealing for solving the NNC problem.
  • To propose and evaluate new Quadratic Unconstrained Optimization Problem formulations for NNC.
  • To compare the performance of Quantum Annealing against existing methods for NNC.

Main Methods:

  • Formulated two Quadratic Unconstrained Optimization Problems tailored for the NNC problem.
  • Utilized a contemporary Quantum Annealer to test the proposed formulations.
  • Benchmarked the Quantum Annealing approach against previous methods for NNC.

Main Results:

  • Quantum Annealing demonstrates a promising potential for addressing the NNC problem.
  • The proposed formulations were tested on current quantum annealing hardware.
  • Performance comparison indicated the viability of the Quantum Annealing approach.

Conclusions:

  • Quantum Annealing is a promising technique for tackling the Nearest Neighbor Compliance problem in quantum computing.
  • The primary limitation to practical implementation is the current hardware's ability to find efficient embeddings.
  • Further advancements in quantum hardware are needed to fully realize the benefits of Quantum Annealing for NNC.