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

Ampere-Maxwell's Law: Problem-Solving

Ampere-Maxwell's Law: Problem-Solving

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...

You might also read

Related Articles

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

Sort by

Same author

Multispectral light-field thermometry system for high-temperature surfaces under intense background interference.

Applied optics·2026

Same author

Optical convolutional spectrometer.

Nature photonics·2026

Same author

Near-infrared multispectral light-field thermography with ambient radiation correction for wide-range temperature measurement.

The Review of scientific instruments·2026

Same author

Dispersive Meta-lens Thermometry for High-temperature Measurements.

Nature communications·2025

Same author

Compact deep-groove-assisted bends on SiN platform for monolithic integrated laser.

Optics express·2025

Same author

Seamless optical cloud computing across edge-metro network for generative AI.

Nature communications·2025

Same journal

Plasmonic nanocomposite helices for weather-adaptive LiDAR function.

Nature communications·2026

Same journal

Multidirectional strain-insensitive stretchable RF electronics.

Nature communications·2026

Same journal

In-scanner thoughts contribute to resting-state functional connectivity.

Nature communications·2026

Same journal

Metal-center electron affinity modulates multicolor electrochromism in 2D conjugated metal-organic frameworks.

Nature communications·2026

Same journal

Hyperbranched dielectric polymer networks exhibiting giant energy storage density at 250 °C.

Nature communications·2026

Same journal

3D nanoprinting of metals by spatiotemporally confined hot electrons via multiple-electron excitations in nanocrystals.

Nature communications·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 21, 2025

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

I/O-efficient iterative matrix inversion with photonic integrated circuits.

Minjia Chen¹, Yizhi Wang¹, Chunhui Yao¹

¹Centre for Photonic Systems, Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, CB3 0FA, UK.

Nature Communications

|July 15, 2024

Summary

This summary is machine-generated.

A novel photonic iterative processor (PIP) overcomes input/output bottlenecks in digital electronics. This optical approach offers significant speed and energy efficiency advantages for complex computations like matrix inversion.

More Related Videos

Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging

Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging

Published on: April 11, 2025

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Related Experiment Videos

Last Updated: Jun 21, 2025

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging

Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging

Published on: April 11, 2025

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Area of Science:

Photonics
Optical Computing
Integrated Circuits

Background:

Photonic integrated circuits (PICs) aim to surpass digital electronics' speed and energy limitations.
The input/output (IO) bottleneck remains a significant challenge for current electronic and photonic processors.

Purpose of the Study:

To introduce a photonic iterative processor (PIP) designed to address the IO bottleneck in matrix-inversion-intensive applications.
To demonstrate the IO advantages and computational capabilities of the PIP for various tasks.

Main Methods:

Development of a lossless PIP for real-valued matrix inversion and integral-differential equation solving.
Implementation of a coherent PIP with on-chip optical loops for complex-valued computations.
Performance evaluation for matrix inversion time and IO efficiency.

Main Results:

Achieved a net matrix inversion time of 1.2 nanoseconds using a coherent PIP.
Demonstrated notable IO advantages with the lossless PIP for specific computational tasks.
Estimated at least an order of magnitude enhancement in IO efficiency compared to single-pass photonic and state-of-the-art electronic processors.

Conclusions:

The photonic iterative processor (PIP) technology shows significant potential for overcoming IO bottlenecks in high-performance computing.
PIP offers substantial improvements in IO efficiency for applications such as reservoir training and MIMO precoding.
The direct data reuse in the optical domain is key to the enhanced performance of PIPs.