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

Network Function of a Circuit01:25

Network Function of a Circuit

444
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
444
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.4K
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...
3.4K
Block Diagram Reduction01:22

Block Diagram Reduction

352
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
352
Second-Order Circuits01:17

Second-Order Circuits

2.0K
Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals.
Input signals typically originate from voltage or current sources, with the output often representing voltage across the capacitor and/or current through the inductor. For example, in...
2.0K
Norton Equivalent Circuits01:16

Norton Equivalent Circuits

571
Norton's theorem is a fundamental concept in the field of electrical engineering that allows for the simplification of complex AC circuits. The theorem states that any two-terminal linear network can be replaced with an equivalent circuit that consists of an impedance, which is parallel with a constant current source. Figure 1 shows the AC circuit portioned into two parts: Circuit A and Circuit B, while Figure 2 depicts the circuit obtained by replacing Circuit A by its Norton equivalent...
571
First-Order Circuits01:15

First-Order Circuits

2.8K
First-order electrical circuits, which comprise resistors and a single energy storage element - either a capacitor or an inductor, are fundamental to many electronic systems. These circuits are governed by a first-order differential equation that describes the relationship between input and output signals.
One common example of a first-order circuit is the RC (resistor-capacitor) circuit. These circuits are used in relaxation oscillators such as neon lamp oscillator circuits. When voltage is...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Microcystis abundance is predictable through ambient bacterial communities: A data-oriented approach.

Journal of environmental management·2024
Same author

Response of particle-attached and free-living bacterial communities to Microcystis blooms.

Applied microbiology and biotechnology·2024
Same author

Dynamic response of bacterial communities to Microcystis blooms: A three-year study.

The Science of the total environment·2023
Same author

Corrigendum to "Network analysis reveals succession of Microcystis genotypes accompanying distinctive microbial modules with recurrent patterns" [Water Res. 170 (2020) 115326].

Water research·2020
Same author

Network analysis reveals succession of Microcystis genotypes accompanying distinctive microbial modules with recurrent patterns.

Water research·2019
Same author

Stage-Wise Identification and Analysis of miRNA from Root-Knot Nematode Meloidogyne incognita.

International journal of molecular sciences·2016
Same journal

Market competition in banking and asset-liability maturity mismatch of non-financial firms: Evidence from Vietnam.

PloS one·2026
Same journal

Objects with three orthogonal symmetry planes: Oblique driving forces and Stokes flow motion.

PloS one·2026
Same journal

Joint optimization of smart inverters and EV charging coordination for enhanced DG-EV hosting capacity under uncertain conditions for resilient distribution systems.

PloS one·2026
Same journal

Work scheduling through communication tools and job satisfaction: The roles of work-family conflict and perceived work pressure.

PloS one·2026
Same journal

Selecting suitable entities to implement blockchain in green agricultural supply chains.

PloS one·2026
Same journal

Generating solutions for charged compact configurations in f(R) gravity.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Nov 1, 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

878

A multi-commodity network model for optimal quantum reversible circuit synthesis.

Jihye Jung1, In-Chan Choi1

  • 1Quantum Machine Learning Laboratory, School of Industrial Management Engineering, Korea University, Seoul, Republic of Korea.

Plos One
|June 22, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new optimization model for quantum circuit synthesis, reducing errors by minimizing implementation costs. The model efficiently creates simpler quantum circuits, enhancing performance in quantum computing and related fields.

More Related Videos

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

9.9K
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

9.3K

Related Experiment Videos

Last Updated: Nov 1, 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

878
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

9.9K
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

9.3K

Area of Science:

  • Quantum Computing
  • Computational Science
  • Information Technology

Background:

  • Quantum computing research focuses on improving output fidelity and hardware/software utilization.
  • Reducing errors in quantum algorithms is crucial and often involves efficient quantum circuit synthesis.

Purpose of the Study:

  • To present an optimization model for synthesizing quantum circuits with minimal implementation costs.
  • To lower error rates by creating simpler quantum circuits using novel optimization techniques.

Main Methods:

  • Developed a unique optimization model combining arc-subset selection with multi-commodity network flow.
  • Targeted circuit synthesis for multiple control Toffoli gates to implement Boolean reversible functions.

Main Results:

  • Obtained quantum circuits with significantly lower quantum costs compared to previous studies.
  • Demonstrated the model's effectiveness in computational experiments for quantum algorithm optimization.

Conclusions:

  • The proposed model offers a unifying and straightforward structure for exploiting quantum gate characteristics.
  • The model is applicable to reversible logic applications (low-power computing, fault-tolerant designs, DNA computing) and network problems.