Superconducting Nanowire Photon Detection Array for 3D Imaging

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Solution Overview

Problem

Current superconducting nanowire single-photon detector arrays face challenges in forming large-scale arrays and accurately determining the number and spatial position of photons, leading to reduced detection efficiency and increased dynamic inductance, which affects the speed of the detector.

Innovation Solution

A three-dimensional imaging method using a superconducting nanowire photon detection array with a lens array for photon alignment, pulsed laser for emitting and detecting light, and a circuit structure including superconducting nanowire detectors, amplifying, conversion, and integrating circuits to convert pulse signals into current signals, allowing for accurate photon counting and distance calculation for 3D image reconstruction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If a large-scale SNSPD array is formed to achieve large-area single photon detection, then the detection area is increased, but the dynamic inductance of the detector is increased which influences the speed of the detector

Engineering Contradiction:
Improvedetection areaVSAvoiddetector speed
Core Design Contradiction:
Area of stationary objectVSSpeed

Solution Approach 1:

The detector is divided into multiple independent pixels, each with its own SNSPD and readout circuitry. This segmentation allows each pixel to operate independently with optimized inductance values, enabling large total detection area while maintaining fast response speeds through parallel operation of multiple smaller units.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transitions from single-photon binary detection to multi-photon counting capability by utilizing temporal integration of multiple detection events. This adds a time dimension to the detection process, allowing the system to count multiple photons at each pixel location without increasing spatial inductance, thereby maintaining speed while enhancing measurement precision.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Loss of information

If the detection area of the SNSPD is increased to encode spatial position information, then the information representation capability is improved, but the dynamic inductance is increased which reduces detection speed

Engineering Contradiction:
Improveinformation representation capabilityVSAvoiddetection speed
Core Design Contradiction:
Loss of informationVSSpeed

Solution Approach 1:

The detector array is segmented into multiple pixels with independent readout circuits. Each pixel encodes spatial position information independently, and the parallel architecture ensures that increasing the number of pixels (and thus information capacity) does not increase the inductance of individual detection channels, preserving detection speed.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system uses temporal integration to count multiple photons at each pixel location over time, adding a time dimension to the detection process. This allows enhanced information representation through multi-photon counting without requiring larger spatial areas or higher inductance values, thereby maintaining fast response speeds.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Achieves high photon detection efficiency of 98% and enables the reconstruction of three-dimensional images by accurately counting photons and calculating distances, improving detection speed and efficiency.

Implementation Method 1

A SNSPD is prepared from an ultrathin superconducting material, forms a local hot-spot by absorbing photons, and generates voltage pulse signals at two ends of the SNSPD to realize single photon detection

Methodology Applied
Scientific EffectPhotoelectric effect: Photoelectric Effect

Implementation Method 2

a 'hot-spot' is locally formed after the nanowire absorbs photons; the density of the current around the 'hot-spot' exceeds superconducting critical current density, the partial resistance is increased, so that the current of the SNSPD is reduced, and meanwhile, the joule heat effect of a resistance area is weakened to dissipate heat to surrounding environment

Methodology Applied
Scientific EffectJoule heating: Joule Heating

Implementation Method 3

A lens array is used as a photon alignment system to divide the transmitted light into multiple beams with the same number of pixels. The light beam converges to the superconducting nanowire photosensitive surface area

Methodology Applied
Scientific EffectLight refraction and focusing: Lens

Implementation Method 4

A pulsed laser is used to emit pulsed light to the surface of the object to be measured. Different light pulses reflected from the surface of the object pass through the lens array. The superconducting nanowire single-photon detector detects the return signal and records the time difference

Methodology Applied
Scientific EffectLight reflection: Reflection

Data Source

PatentUS11971486B2Method for generating three-dimensional images with superconducting nanowire photon detection array
Publication Date: 2024.04.30 NANJING UNIV
  • US11971486B2 patent drawing
  • US11971486B2 patent drawing
  • US11971486B2 patent drawing

AI summary

A superconducting nanowire photon detection array adjusts a number of the array elements, a lens array that 1) splits transmitted lights into multiple beams that equals the number of the array elements, and are converged in to a superconducting nanowire detection area; 2) a pulsed laser detects a surface of an object, transmits reflected different light pulses by the surface of the object through the lens array, and records a round-trip time of each photon; 3) collects the photons detected by each array element, takes the array elements as pixels and calculates a gray value of the pixels; and 4) plots a gray-scale image by taking the pixels as pixel points, calculates a distance between the object and the pixel points, and reconstructs a three-dimensional image of the object.