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

Block Diagram Reduction01:22

Block Diagram Reduction

420
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...
420
Quantum Numbers02:43

Quantum Numbers

48.0K
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.
48.0K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

972
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...
972
Norton Equivalent Circuits01:16

Norton Equivalent Circuits

632
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...
632
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
Network Function of a Circuit01:25

Network Function of a Circuit

511
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.
511

You might also read

Related Articles

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

Sort by
Same author

Reducing T-count and T-depth in approximate quantum Fourier transform circuits.

Scientific reports·2025
Same author

Non-classicality and the effect of one photon.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2024
Same author

Non-reciprocity in photon polarization based on direction of polarizer under gravitational fields.

Scientific reports·2024
Same author

Non-Markovian cost function for quantum error mitigation with Dirac Gamma matrices representation.

Scientific reports·2023
Same author

Quantum-Walk-Inspired Dynamic Adiabatic Local Search.

Entropy (Basel, Switzerland)·2023
Same author

A Differential-Geometric Approach to Quantum Ignorance Consistent with Entropic Properties of Statistical Mechanics.

Entropy (Basel, Switzerland)·2023
Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Dec 7, 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

969

Quantum circuit optimization using quantum Karnaugh map.

J-H Bae1, Paul M Alsing2, Doyeol Ahn3,4,5

  • 1Department of Electrical and Computer Engineering, University of Seoul, 163 Seoulsiripdae-ro, Tongdaimoon-gu, Seoul, 02504, South Korea.

Scientific Reports
|September 25, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel technique to reduce elemental quantum gates in quantum circuits. This optimization significantly decreases gate count for key circuits, enhancing quantum computation efficiency.

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

10.1K
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

9.5K

Related Experiment Videos

Last Updated: Dec 7, 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

969
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

10.1K
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

9.5K

Area of Science:

  • Quantum Computing
  • Quantum Information Science

Background:

  • Quantum algorithms are built using quantum circuits, requiring numerous elemental quantum gates.
  • Limited qubit resources in quantum computation necessitate efficient circuit designs.

Purpose of the Study:

  • To propose and demonstrate a general technique for significantly reducing elemental quantum gates in quantum circuits.
  • To improve the efficiency and bandwidth of quantum computations through circuit optimization.

Main Methods:

  • Development of a general gate reduction technique for quantum circuits.
  • Application of the technique to specific quantum circuits like the Toffoli gate.

Main Results:

  • The proposed technique reduces gate count by 60% for four-qubit Toffoli gates.
  • A 46% reduction in gates is achieved for five-qubit Toffoli gates compared to existing methods.
  • Demonstrated significant reduction in elemental gates for key quantum circuits.

Conclusions:

  • The developed quantum circuit optimization technique offers a substantial advancement in the field.
  • This method has the potential for broad applications in optimizing quantum algorithms and computation.