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Reconfigurable memlogic long wave infrared sensing with superconductors
Bingxin Chen1, Huanyi Xue1, Hong Pan1
1State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing, Department of Physics, Fudan University, Shanghai, 200438, China.
Light, Science & Applications
|April 26, 2024
Summary
Researchers developed a superconducting memlogic sensor for long-wave infrared detection. This device integrates optical sensing with memory and logic, enabling advanced machine vision and secure communications.
Area of Science:
- Quantum computing and sensing
- Materials science and engineering
- Optoelectronics and photonics
Background:
- Current optical sensors face limitations beyond traditional von Neumann architectures.
- Superconductors offer quantum-limited optical sensitivity and broad spectrum coverage.
- Integrating logic and memory into sensors is key for advanced machine vision.
Purpose of the Study:
- To report a novel superconducting memlogic sensor for long-wave infrared (LWIR) detection.
- To demonstrate in-sensor switching capabilities for reconfigurable logic systems.
- To achieve high infrared sensitivity using an integrated metamaterial absorber.
Main Methods:
- Utilized the bistability in hysteretic superconductor-normal phase transitions.
- Employed cooperative electrical and optical pulses for deterministic state switching.
- Integrated a metamaterial perfect absorber for enhanced infrared sensitivity at 12.2 μm.
Main Results:
- Demonstrated deterministic switching between resistive and superconducting states with persistence > 10^5 s.
- Achieved a resilient, reconfigurable memlogic system suitable for applications like encrypted communications.
- Obtained high infrared sensitivity at 12.2 μm due to the in-situ metamaterial design.
Conclusions:
- Pioneered all-in-one superconducting memlogic sensors, surpassing biological retina capabilities.
- Opened avenues for integrating visual perception into superconductor-based intelligent quantum machines.
- The developed sensor technology offers a pathway towards next-generation computing and sensing.
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