Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

MOS Capacitor

MOS Capacitor

A Metal-Oxide-Semiconductor (MOS) capacitor is a fundamental structure used extensively in semiconductor device technology, particularly in the fabrication of integrated circuits and MOSFETs (metal-oxide-semiconductor field-effect transistors). The MOS capacitor consists of three layers: a metal gate, a dielectric oxide, and a semiconductor substrate.
The metal gate is typically made from highly conductive materials such as aluminum or polysilicon. Beneath the metal gate lies a thin layer of...

Design Example: Capacitance Multiplier Circuit

Design Example: Capacitance Multiplier Circuit

In integrated circuit technology, a capacitance multiplier is often utilized to produce a larger capacitance value when a small physical capacitance falls short. This is achieved by a circuit that multiplies capacitance values by a factor of up to 1000, such that a 10-pF capacitor can replicate the performance of a 100-nF capacitor.
The circuit illustrated in Figure 1 below incorporates two op-amps, with the first operating as a voltage follower and the second acting as an inverting amplifier.

You might also read

Related Articles

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

Sort by

Same author

Optimal Computational Modeling and Simulation of QCA Reversible Gates for Information Reliability in Nano-Quantum Circuits.

Nanomaterials (Basel, Switzerland)·2024

Same author

Multi-Layered QCA Content-Addressable Memory Cell Using Low-Power Electronic Interaction for AI-Based Data Learning and Retrieval in Quantum Computing Environment.

Sensors (Basel, Switzerland)·2023

Same author

Quantum LFSR Structure for Random Number Generation Using QCA Multilayered Shift Register for Cryptographic Purposes.

Sensors (Basel, Switzerland)·2022

Same author

Non-Restoring Array Divider Using Optimized CAS Cells Based on Quantum-Dot Cellular Automata with Minimized Latency and Power Dissipation for Quantum Computing.

Nanomaterials (Basel, Switzerland)·2022

Search research articles

Related Experiment Video

Updated: Jan 15, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

Multi-Layer Molecular Quantum-Dot Cellular Automata Multiplexing Structure with Physical Verification for Secure

Jun-Cheol Jeon¹

¹Department of Convergence Science, Kongju National University, Gongju 32588, Republic of Korea.

International Journal of Molecular Sciences

|October 16, 2025

Summary

Molecular quantum-dot cellular automata (QCA) offer a nanoquantum solution for digital circuit design challenges. This study introduces an ultra-slim multi-layer multiplexer (Mux) with significant improvements in design costs.

Keywords:

molecular quantum-dot cellular automata multiplexer nanotechnology physical verification random access memory

More Related Videos

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Published on: June 3, 2015

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Related Experiment Videos

Last Updated: Jan 15, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Published on: June 3, 2015

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Nanotechnology
Quantum Computing
Molecular Electronics

Background:

Existing CMOS technology faces limitations in digital circuit design.
Molecular quantum-dot cellular automata (QCA) present a promising alternative due to small size, high speed, and low power consumption.
The field is advancing towards a nanoquantum environment, necessitating novel circuit designs.

Purpose of the Study:

To propose an ultra-slim vertical panel type multi-layer 2-to-1 multiplexer (Mux) using molecular QCA.
To demonstrate the expansion of this design to a 4-to-1 Mux and its application in D-latch and RAM cells.
To physically validate cell polarization phenomena and ensure secure RAM design through noise elimination.

Main Methods:

Development of a novel 5 × 5 × 1 ultra-slim vertical panel type multi-layer Mux architecture.
Physical modeling of cell polarization using potential energy, inter-electron distance, and cell positioning.
Simulation of circuit operation and performance using QCADesigner 2.0.3 and QCADesignerE.
Integration of noise elimination and output signal polarization for secure RAM design.

Main Results:

The proposed multi-layer 2-to-1 Mux demonstrates significant improvements in design costs, achieving at least 1473% and 277% enhancements.
Successful expansion to 4-to-1 Mux, D-latch, and RAM cell designs using the novel vertical panel format.
Physical validation of polarization phenomena, confirming the operational principles of molecular QCA cells.

Conclusions:

The proposed ultra-slim vertical panel multi-layer Mux design offers substantial advantages over conventional multi-layer Muxes.
Molecular QCA technology is a viable and efficient solution for future nanoquantum digital circuits.
The study provides a foundation for secure and high-performance molecular QCA-based memory and logic circuits.