Overview
QCORE is a compact, chip-integrated photonic system designed to perform ultra-fast, analog optical signal processing — including Fourier transforms, spectral decomposition, and temporal filtering — at speeds and resolutions that far exceed classical electronics. Where conventional systems rely on electronic chips to process signals from sensors, antennas, or optical sources, QCORE uses light itself to process light, eliminating the electronic bottleneck entirely. Modern signal-processing systems struggle with the volume and speed of analog input from emerging high-bandwidth sources; QCORE offers a fully photonic architecture combining custom optical waveguides, nanostructured diffraction components, and ultra-low-loss materials, delivering signal processing in femtoseconds without digital conversion.
Applications
Quantum optics; hyperspectral imaging; next-generation LiDAR; satellite systems; cryptography; defense.
Operating Principle
Light processes light within a chip-scale planar waveguide structure containing integrated diffraction layers and beam splitters, performing instantaneous optical Fourier transforms, real-time analog signal modulation, and spectral filtering and pulse shaping. No digital conversion and no electric power are required for the core processing — the system is passive, taking light as both input and output.
Key Parameters
| Parameter | Value |
|—|—|
| Core functions | Instantaneous optical Fourier transform; real-time analog signal modulation; spectral filtering and pulse shaping |
| Architecture | Chip-scale planar waveguide with integrated diffraction layers and beam splitters |
| Material | Proprietary graphene-based photonic substrate, engineered for high thermal and optical stability |
| Transform execution | < 1 picosecond |
| Resolution | Limited only by optical source bandwidth |
| Energy efficiency | Passive — no electric power for core processing |
| Output type | Analog-modulated optical signals, compatible with fiber systems or photonic computing backends |
| Wavelength range | Tuned for 850–1600 nm (standard telecom bands); scalable to UV and IR with waveguide redesign |
Architecture and Components
Chip-scale planar waveguide design with integrated diffraction layers and beam splitters, built on a proprietary graphene-based substrate engineered for high thermal and optical stability.
Advantages
Eliminates the electronic bottleneck by processing light with light. Transform execution in under 1 picosecond, with resolution limited only by optical source bandwidth. Passive operation requiring no electric power for core processing. Output compatible with fiber systems or photonic computing backends. Tuned for standard telecom bands and scalable to UV and IR with waveguide redesign.
Integrations
Glassy Modified Carbon · TEG-Based Nanostructures · Photonic LiDAR · Quantum Optical Clock · OpticalDT
Deployment & Operation
Pre-industrial scaling and integration pathways under development; functional prototypes validated in relevant environments.
TRL
TRL 5–6 — Demonstrated in relevant environments with validated functional prototypes; pre-industrial scaling and integration pathways under development.
Market Potential
QCORE targets markets where electronic signal processing is becoming the bottleneck: hyperspectral imaging and remote sensing, next-generation LiDAR for autonomous systems, satellite payloads, quantum-secure communications and cryptographic hardware, and defense sensing platforms. These are markets with strong ongoing investment in faster, lower-power signal processing, where a passive photonic processor that removes the digital-conversion step offers a structural advantage over incremental improvements to electronic chips. Demand is driven by the growing volume and bandwidth of optical sensor data across satellite, autonomous-vehicle, and defense applications, all expanding rapidly as sensor counts and data rates increase.
Typical Project Economics
Project-level CAPEX and OPEX are not tracked as a standard line item — costs are calculated per deployment and application.
Risk Factors
Manufacturing yield and scaling risk in moving from validated prototypes to volume production of the photonic chip. Integration risk when interfacing a passive optical processor with existing electronic and fiber-based systems. Competitive risk from continued improvement in conventional electronic signal processors, which could narrow the performance gap over time. Dependence on specialized photonic fabrication capacity, which is less mature than standard semiconductor manufacturing. Market-adoption risk, since new sensing and processing architectures typically require lengthy qualification cycles in defense and satellite applications.
Related Technologies
Glassy Modified Carbon · TEG-Based Nanostructures · Photonic LiDAR · Quantum Optical Clock · OpticalDT