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

The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

55.0K
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.
55.0K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

179
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...
179
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

931
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
931
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

25.3K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
25.3K
Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

1.9K
When an object is in equilibrium, it is either at rest or moving with a constant velocity. There are two types of equilibrium: static and dynamic. Static equilibrium occurs when an object is at rest, while dynamic equilibrium occurs when an object is moving with a constant velocity. In both cases, there must be a balance of forces acting on the object.
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
1.9K
Basic Postulates of Kinetic Molecular Theory: Particle Size, Energy, and Collision02:43

Basic Postulates of Kinetic Molecular Theory: Particle Size, Energy, and Collision

36.2K
The ideal-gas equation, which is empirical, describes the behavior of gases by establishing relationships between their macroscopic properties. For example, Charles’ law states that volume and temperature are directly related. Gases, therefore, expand when heated at constant pressure. Although gas laws explain how the macroscopic properties change relative to one another, it does not explain the rationale behind it.
36.2K

You might also read

Related Articles

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

Sort by
Same author

How a Quantum Computer Could Quantify Uncertainty in Microkinetic Models.

The journal of physical chemistry letters·2021
Same author

Graph Theory Model of Dry Reforming of Methane Using Rh(111).

The journal of physical chemistry letters·2020
Same journal

Solid-State NMR Quantification of Brønsted-Lewis Acid Site Cooperativity in Zeolites for Glucose Conversion.

The journal of physical chemistry letters·2026
Same journal

Ion-Pairing-Mediated Selective Transport of Rare Earth Elements through Functionalized Graphene Nanopores.

The journal of physical chemistry letters·2026
Same journal

Ligand-Tuned CISS-Effect of Atomically Precise Metal Oxido Nanoclusters.

The journal of physical chemistry letters·2026
Same journal

Data-Driven Exploration of the Polyethylene Catalyst Chemical Space via Machine Learning.

The journal of physical chemistry letters·2026
Same journal

Role of Ultrafast Electron-Thermal-Phonon Interactions in High Harmonic Generation and Dephasing from Graphene.

The journal of physical chemistry letters·2026
Same journal

Real-Time Vibrational Spectroscopy Reveals an Inversion Transition State in the Photoisomerization of Phenylazoimidazole.

The journal of physical chemistry letters·2026
See all related articles

Related Experiment Video

Updated: Nov 23, 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

947

How a Quantum Computer Could Solve a Microkinetic Model.

Eric A Walker1,2, Shreyas Addamane Pallathadka1

  • 1Institute for Computational and Data Sciences, University at Buffalo, The State University of New York, Buffalo, New York 14260, United States.

The Journal of Physical Chemistry Letters
|December 31, 2020
PubMed
Summary
This summary is machine-generated.

A quantum circuit microkinetic model for CO oxidation was developed. This model efficiently solves equations, achieving chemical accuracy in a single iteration, overcoming previous computational hurdles.

More Related Videos

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.4K
Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

13.1K

Related Experiment Videos

Last Updated: Nov 23, 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

947
Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.4K
Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

13.1K

Area of Science:

  • Quantum computing
  • Chemical kinetics
  • Catalysis

Background:

  • Microkinetic models are crucial for understanding catalytic reactions like CO oxidation.
  • Quantum circuits offer a novel platform for complex equation solving.
  • Traditional microkinetic models can involve computationally intensive encoding steps.

Purpose of the Study:

  • To develop and evaluate a microkinetic model for CO oxidation on a quantum circuit.
  • To investigate the efficiency of solving microkinetic models as systems of equations on quantum hardware.
  • To assess the accuracy and convergence of a linearized approximation for the model.

Main Methods:

  • Formulating a CO oxidation microkinetic model as a nonlinear set of equations.
  • Applying a linearizing approximation to the nonlinear system.
  • Iteratively solving the linearized equations to approximate the nonlinear solution.
  • Executing the model on a quantum circuit and analyzing the results.

Main Results:

  • The microkinetic model was successfully cast as a nonlinear set of equations.
  • A linearizing approximation allowed for efficient solution.
  • The linearized equations converged to chemical accuracy within a single iteration.
  • The study discusses current limitations in quantum circuit execution for obtaining the solution.

Conclusions:

  • Microkinetic models, as subclasses of systems of equations, do not require an encoding step for quantum computation.
  • A linearized approach enables rapid and accurate solutions for CO oxidation microkinetic models on quantum circuits.
  • Further development in quantum circuit execution is needed to fully realize the potential of this approach.