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

The Quantum-Mechanical Model of an Atom

The Quantum-Mechanical Model of an Atom

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. Schrödinger...

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...

You might also read

Related Articles

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

Sort by

Same author

Learning millisecond protein dynamics from what is missing in NMR spectra.

bioRxiv : the preprint server for biology·2026

Same author

Untrained Position-Encoded Multilayer Perceptron Network for Structured Illumination Microscopy Reconstruction.

Chemical & biomedical imaging·2026

Same author

Thousandfold Expansion Microscopy.

bioRxiv : the preprint server for biology·2026

Same author

Isotropic shrinkage of patterned vacancies enables three-dimensional nanoprecise metastructures for visible light applications.

Nature photonics·2026

Same author

Mutation E300 recommended by protein language models gives ChrimsonR amplified photocurrent response.

bioRxiv : the preprint server for biology·2026

Same author

Unified Transcriptome and Mechanics Map of the Intact Mammalian Preimplantation Embryo In Situ.

bioRxiv : the preprint server for biology·2026

Search research articles

Related Experiment Video

Updated: Jun 13, 2026

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

QuATON: Quantization Aware Training of Optical Neurons.

Hasindu Kariyawasam¹, Ramith Hettiarachchi¹, Quansan Yang^2,3

¹Center for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA.

Research Square

|April 8, 2024

Summary

We developed a physics-informed training framework to design optical processors with quantized optical neurons. This approach ensures robust performance despite fabrication precision limits, enabling advanced 3D-fabricated optical computing.

More Related Videos

The Optical Fractionator Technique to Estimate Cell Numbers in a Rat Model of Electroconvulsive Therapy

The Optical Fractionator Technique to Estimate Cell Numbers in a Rat Model of Electroconvulsive Therapy

Published on: July 9, 2017

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Published on: March 3, 2023

Related Experiment Videos

Last Updated: Jun 13, 2026

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

The Optical Fractionator Technique to Estimate Cell Numbers in a Rat Model of Electroconvulsive Therapy

The Optical Fractionator Technique to Estimate Cell Numbers in a Rat Model of Electroconvulsive Therapy

Published on: July 9, 2017

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Published on: March 3, 2023

Area of Science:

Photonics and optical computing
Machine learning hardware acceleration
Nanofabrication and materials science

Background:

Optical processors offer high-speed, high-dimensional linear computation.
Advances in 3D micro-fabrication enable complex optical processors.
Limited fabrication precision leads to quantization of optical neuron parameters, causing model mismatch.

Purpose of the Study:

To develop a training framework that accounts for physical constraints in optical processor design.
To enable the design of optical processors with quantized learnable parameters at a predefined precision level.
To ensure robust performance of optical processors despite fabrication limitations.

Main Methods:

Proposed a physics-informed quantization-aware training framework.
Integrated physical constraints directly into the training process.
Utilized diffractive networks for optical processor design.

Main Results:

Demonstrated state-of-the-art optical processor designs for physics-based tasks.
Successfully addressed the challenge of quantized learnable parameters in optical neurons.
Achieved robust designs by accounting for physical constraints during training.

Conclusions:

The proposed framework enables robust design of 3D-fabricated optical processors with quantized parameters.
This work lays the foundation for future advancements in optical computing hardware.
Physics-informed training is crucial for overcoming fabrication limitations in optical neural networks.