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

Understanding Memory01:19

Understanding Memory

1.8K
Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
1.8K
Long-Term Memory01:18

Long-Term Memory

911
Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
911
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

4.2K
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...
4.2K
System of Memory01:23

System of Memory

7.9K
Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
7.9K
Implicit Memories01:24

Implicit Memories

616
Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
616
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

2.3K
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
2.3K

You might also read

Related Articles

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

Sort by
Same author

Real-time monitoring of multimode squeezing.

Nature communications·2026
Same author

Coarse-Grained Simulations of Thermosensitive Polymer Nanocomposites.

Macromolecules·2026
Same author

Speedup of an all-optical delay-based reservoir computer via input rate increase and bandwidth enhancement.

Chaos (Woodbury, N.Y.)·2025
Same author

Identifying Ordinal Similarities at Different Temporal Scales.

Entropy (Basel, Switzerland)·2025
Same author

Neural networks with quantum states of light.

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

Neural network learning with photonics and for photonic circuit design.

Nanophotonics (Berlin, Germany)·2024
Same journal

Self-Organized Nanoplasmonic Artificial Leaf for Hot-Carrier Bioelectronic Interfaces.

Nature photonics·2026
Same journal

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

Nature photonics·2026
Same journal

Optical convolutional spectrometer.

Nature photonics·2026
Same journal

Strong ultrafast nonlinear optical response from megaelectronvolt electrons in semiconductors.

Nature photonics·2026
Same journal

All-optical polarization control in time-varying low-index films via plasma symmetry breaking.

Nature photonics·2026
Same journal

Super-resolution imaging of limited-size objects.

Nature photonics·2026
See all related articles

Related Experiment Video

Updated: Apr 14, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.3K

Experimental memory control in continuous-variable optical quantum reservoir computing.

Iris Paparelle1,2, Johan Henaff1, Jorge García-Beni2

  • 1Laboratoire Kastler Brossel, Sorbonne Université, ENS-Université PSL, CNRS, Collège de France, Paris, France.

Nature Photonics
|April 13, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a photonic quantum reservoir computing platform for efficient temporal data learning. This system uses squeezed states and feedback for enhanced memory and processing capabilities.

Keywords:
Quantum informationQuantum optics

More Related Videos

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

15.2K
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

9.8K

Related Experiment Videos

Last Updated: Apr 14, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.3K
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

15.2K
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

9.8K

Area of Science:

  • Quantum Information Science
  • Quantum Machine Learning
  • Photonics

Background:

  • Forecasting complex temporal processes necessitates efficient machine learning from time-series data.
  • Reservoir computing (RC) offers a low-training-cost approach for temporal learning.
  • Quantum reservoir computing (QRC) extends RC to the quantum domain, promising enhanced capabilities for quantum-enhanced machine learning.

Purpose of the Study:

  • To demonstrate a practical photonic quantum reservoir computing (QRC) platform for temporal data processing.
  • To address the challenge of implementing native memory capabilities in photonic quantum systems.
  • To establish a scalable continuous-variable photonic platform for quantum-enhanced information processing.

Main Methods:

  • Utilized deterministically generated multimode squeezed states in a continuous-variable photonic system.
  • Employed spectral and temporal multiplexing for data encoding via programmable pump phase shaping.
  • Implemented real-time memory through feedback via electro-optic modulation and boosted expressivity via spatial multiplexing.

Main Results:

  • Demonstrated a photonic QRC platform capable of nonlinear temporal tasks, including parity check and chaotic signal forecasting.
  • Achieved controllable fading memory and enhanced expressivity through the entangled multimode structure.
  • Validated all experimental results using a high-fidelity Digital Twin simulation.

Conclusions:

  • The developed photonic QRC platform offers a scalable solution for quantum-enhanced information processing.
  • Exploiting entangled multimode structures significantly enhances expressivity and memory capacity in photonic QRC.
  • This work paves the way for advanced quantum machine learning applications in temporal data analysis.