Nonlinear optical system and method for optical information processing

Patent metadata

Field	Value
Publication number	US-12554176-B2
Application number	US-202118014871-A
Country	US
Kind code	B2
Filing date	Jul 14, 2021
Priority date	Jul 14, 2020
Publication date	Feb 17, 2026
Grant date	Feb 17, 2026

Abstract

An optical information processing system comprising a nonlinear element selected in relation to input optical pulses to initiate nonlinear optical frequency conversion and a detection unit, the nonlinear element receiving encoded information input in form of pulsed light, pulsed light from the nonlinear element being read-out by the detection unit for spectro-temporal feature extraction, and the readout being used to train the system on a specific target to obtain a task-specific output or re-directed to the nonlinear element to obtain an input-dependent output, yielding processed information comprising selective positions in an output of the system. A method for training an optical system comprises, for each individual optical input information, reading specific optical amplitude or phase features from specific output bins of the system in time or frequency, weighting and evaluating the specific features towards optimizing user-defined fitness function to identify, classify, or fit the input information.

First claim

The invention claimed is:

1 . An optical information processing system, comprising a nonlinear element selected in relation to input optical pulses to initiate nonlinear optical frequency conversion and a detection unit; the nonlinear element receiving encoded information input in form of pulsed light, pulsed light from the nonlinear element being read-out by the detection unit for spectro-temporal feature extraction, the readout being one of: i) used to train the system on a specific target to obtain a task-specific output and ii) re-directed to the nonlinear element to obtain an input-dependent output; yielding processed information comprising selective positions in an output of the system.

2 . The system of claim 1 , comprising a tunable spectral routing element before the nonlinear element, for a random change of settings of the system.

3 . The system of claim 1 , comprising a tunable spectral routing processing the input optical pulses element before the nonlinear element, and a control unit for an adaptive change of settings of the system based on the readout through feedback-control.

4 . The system of claim 1 , wherein the input optical pulses have a time duration in a range between 1 fs and and 10000 fs and a spectral bandwidth below 100 nm.

5 . The system of claim 1 , wherein the input optical signals are ones of: sensor signals, image signals, optical ranging signals, optical tomography signals, telecom signals, and information carrying optical pulse series.

6 . The system of claim 1 , comprising an encoding unit, said encoding unit encoding information on the input optical signal.

7 . The system of claim 1 , wherein the nonlinear element is selected in relation to input optical pulses to initiate nonlinear optical effects by one or a cascade of ones of: four-wave mixing, soliton fission, dispersive wave generation, modulation instabilities, cross-phase modulation and self-phase modulation.

8 . The system of claim 1 , wherein the nonlinear element comprises at least one of: highly nonlinear fibers, dispersion-shifted fibers; doped fibers, oft-glass fibers, liquid-core fibers, hollow-core fibers, photonic crystal fibers and chip-integrated nonlinear waveguides.

9 . The system of claim 1 , wherein the detection unit comprises a tunable-spectral temporal detector.

10 . The system of claim 1 , the detection unit comprises a tunable-spectral temporal detector, wherein said detector is interfaced to a computer for on-line read-out and further processing.

11 . The system of claim 1 , comprising a tunable spectral routing element before the nonlinear element, wherein the routing unit is one of: a tunable spectral routing element, a tunable temporal routing unit and a spectro-temporal routing unit.

12 . The system of claim 1 , comprising a tunable spectro-temporal routing element before the nonlinear element, wherein the routing unit is optically connected to the detection unit and electrically interfaced to a computer for feedback-control.

13 . The system of claim 1 , comprising a tunable temporal splitter before the nonlinear element for one of: information encoding and input pulse processing, and the tunable temporal splitter is interfaced to a computer for feed-back control according to the readout.

14 . The system of claim 1 , comprising one of: a temporal, spectral, and spectro-temporal phase and/or amplitude filter unit before the nonlinear element for information encoding or input signal processing, and the filter unit is interfaced to a computer for feed-back control according to the readout.

15 . The system of claim 1 , interfaced to a computer for feed-back control according to the readout.

16 . The system of claim 1 , interfaced to a computer for feed-back control according to the readout, by one of machine-learning and optimization.

17 . The system of claim 1 , comprising a nonlinear element, a tunable spectral, temporal, or spectro-temporal unit, and a feedback circuit from the nonlinear element output that controls the tunable spectral, temporal, or spectro-temporal unit.

18 . An optical information processing method, comprising processing encoded information input in form of pulsed light in a nonlinear element, and reading out for spectro-temporal feature extraction, comprising training to a user-defined task by at least one of: i) recording an output and using machine-learning to retrieve an input-specific response, in offline-training configuration; ii) using a tunable temporal pulse splitter between the input and the nonlinear element, evaluating an output and feeding back to the tunable temporal splitter for improving amplitude or phase features distinguishability, in offline-training; iii) using a tunable spectral and/or temporal filter after the nonlinear element to extract the amplitude or phase features in online output training.

19 . The system of claim 1 , wherein the nonlinear element is selected in relation to the input optical pulses to initiate a cascade of one of: four-wave mixing, soliton fission, dispersive wave generation, modulation instabilities, cross-phase modulation, and self-phase modulation.

20 . An optical information processing method, comprising processing information input in form of pulsed light in a nonlinear element, and reading out for spectro-temporal feature extraction, the method comprising training to a user-defined task by at least one of: i) recording an output and using machine-learning to retrieve an input-specific response; ii) using a tunable spectral and/or temporal filter or temporal pulse splitter between the input and the nonlinear element, evaluating an output and feeding back to the tunable temporal splitter for improving feature amplitude or phase features distinguishability; iii) using a tunable spectral and/or temporal filter after the nonlinear element to extract the amplitude or phase features.

Assignees

• Inst Nat Rech Scient
• Univ Hannover Gottfried Wilhelm Leibniz

Inventors

• Fischer Bennet
• Roztocki Piotr
• Chemnitz Mario
• Rimoldi Cristina
• Maclellan Benjamin
• Romero Cortes Luis
• Kues Michael
• Azana Jose
• Jestin Yoann
• Morandotti Roberto

Classifications

• G06E1/02

  operating upon the order or content of the data handled · CPC title

• G06N3/006

  based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO] · CPC title

• G06N3/126

  Evolutionary algorithms, e.g. genetic algorithms or genetic programming · CPC title

• G06N3/084

  Backpropagation, e.g. using gradient descent · CPC title

• G02F1/353 Primary

  Frequency conversion, i.e. wherein a light beam is generated with frequency components different from those of the incident light beams · CPC title