Quantum Sensing, Communication & Quantum Computing
Developing Single Photon Source (SPS) with Entangled Photon Pair
• Integrated Chiral coupler for Path Encoding
• Creating Super positioned photon pair
• Developing Hadamard, CNOT quantum logic gates
• Create N00N state photon pairs for Quantum sensing
• Detect and Measure emitted photons from the integrated circuit
• Running on near room temperature
• Quantum communication application
• Quantum sensing application:
Quantum Lidar,
High Resolution Image processing,
Short and Long range detection
Single Photon Source (SPS) Chip
Serialized photon generation controlled by pulsed signal
Room Temperature Operation
No need to cool down to cryogenic temperature, so system can be designed in smaller package
Contact
info@maxxengroup.org
UV-C Rocket Plume Detection
& Image Processor In a Chip
Revolutionary chip-scale AI camera combining solar-blind sensor technology with machine learning image processing. Enabling next-generation of missile defense system through ultra-fast detection
Current Approach Issues
- Wide bandgap semiconductors (SiC, GaN) are currently a de facto choice but the technology is not fully matured yet and suffers from fundamental limitations. These include manufacturing complexity that impedes integration into large sensor arrays and significant compatibility challenges when interfacing with silicon-based electronics.
- Additional drawbacks include excessive power consumption requirements and substantial form factor constraints that prevent miniaturization of detection modules.
Our Revolutionary Solutions
- We've developed solar-blind image sensor chips incorporating precision-engineered thin-film microcavity bandpass filters. Our innovation combines advanced plasmonic edge detection algorithms with high-sensitivity silicon avalanche photodiodes (APDs).
- This CMOS-compatible architecture enables unprecedented scalability while maintaining superior detection sensitivity and significantly reduced power requirements.
Multispectral imaging within UV-C band
Instant detection of edge lines (object boundaries) and polarization sensing
ML-accelerated low-power high-speed image processing
Enhance target identification performance, reducing latency and improving classification accuracy.
Contact