The first photonic processor that replaces the electron transistor — at room temperature, on standard silicon nitride. >90% operational cost reduction versus electronic compute.
$25M Seed Round ● 5 Strategic Seats × $5M
U.S. data center electricity demand will quadruple by 2030 — from 3.5% to 12.4% of total grid power. The grid is adding capacity at ~2% per year. AI demand is growing at ~22% per year. The lines are diverging.
US total grid generation: 4,178 TWh (2023) → ~4,900 TWh (2030 est.) — growing at ~2%/yr (EIA)
NVIDIA B300 GPUs consume 1,400W each. A single DGX B300 system draws over 14kW. Cooling consumes 30–40% of total facility power. Resistive heating (I²R loss) is unsustainable at scale.
AI-optimized servers alone will demand 500 TWh/yr by 2027 — 2.6× the level in 2023. 40% of existing data centers will be operationally constrained by power availability.
Today's quantum processors require 15 millikelvin — colder than outer space — inside $20M+ dilution refrigerators. $2T in quantum value is locked behind cryogenics.
McKinsey projects $2 trillion in quantum economic value by 2035 across life sciences, chemicals, finance, and mobility. But it can't be realized while quantum computers sit inside laboratory refrigerators.
US federal quantum R&D budget: $998M (FY2025). DARPA QBI: $250M. DoD named quantum a Critical Technology Area in 2025. Over $50B in cumulative global government investment.
Quantum Light Technology's photonic processor computes with light instead of electricity. No heat. No resistance. No cryogenics. >90% operational cost reduction.
Replaces the transistor gate with light-based logic — switching in <175 femtoseconds, 5,700× faster than CMOS. Zero I²R loss.
Optical Distortion Reversal — a proprietary waveguide geometry that passively corrects phase errors, maintaining quantum coherence at 300K.
Fabricated on commercial Si₃N₄ at existing foundries (Ligentec, AIM Photonics, imec). Proven <0.1 dB/m loss. No exotic materials.
| Metric | Electron Transistor | QLT Photonic Switch |
|---|---|---|
| Compute Model | Digital — discrete binary logic gates | Analog quantum — continuous-variable photonic |
| Operating Temp | 300K (classical) / 15mK (quantum) | Room Temperature (300K) |
| Switch Speed | ~1 ns (CMOS) | <175 fs — 5,700× faster |
| Heat Generation | ~100W/cm² at 5nm | Near zero — no charge carriers |
| Power / OpEx | 1,000–1,400W per GPU (B200/B300) | >90% OpEx reduction |
| Quantum Capable | No (requires superconducting at 15mK) | Yes — analog quantum photonic at 300K |
| Interconnect | Copper — RC delay, 50% power lost | Optical waveguide — speed of light |
| Coherence | N/A classical / μs at cryo | ODR coherence extension at 300K |
| Error Correction | Digital QEC — 1000:1 physical-to-logical overhead | Analog quantum error correction — passive, structural |
| Cooling Cost | 30–40% of facility power | Minimal — primary heat source eliminated |
QLT's photonic processor is a substrate-level replacement — applicable across every market that relies on electron-based compute. From AI training to robotic inference to quantum simulation, our chips serve the same sockets.
$650–690B combined 2026 CapEx across Amazon ($200B), Google ($175B), Meta ($115B), and Microsoft. 75% allocated to AI infrastructure. These buyers need a fundamentally different compute substrate.
NVIDIA shipped 3.6M data center GPUs in 2024 — each drawing 1,000–1,400W. The robotics sector requires edge inference at 10–50W. Photonic processors serve both ends: cloud-scale training and watt-constrained autonomous systems.
FY2025: $998M federal quantum R&D. DARPA QBI: $250M. $50B+ cumulative global quantum investment. DoD named quantum a Critical Technology Area. Room-temp quantum is field-deployable.
>90% OpEx reduction. Photonic matrix multiply at speed of light. Eliminates 30–40% cooling overhead.
$59B edge market. Quantum inference without thermal overhead. Extends range for drones, surgical robots, autonomous vehicles.
$998M federal quantum budget. Field-deployable quantum in a SCIF, submarine, or aircraft. No dilution fridge required.
$1.3T value at stake. Quantum molecular simulation on a benchtop — not a building-sized cryogenic facility.
Quantum networking without cryogenic repeaters. Room-temp entanglement-based key distribution.
$40B+ NIST PQC mandate. Quantum portfolio optimization at photonic speed.
An interlocking mesh of claims across the entire photonic computing stack — making design-arounds prohibitively expensive.
5 seats × $5M each. Every investor must bring direct operational value — equipment, channels, foundry access, defense clearance, or enterprise deployment. No passive capital.
Demonstrated ODR coherence extension on fabricated silicon nitride + 60+ patent fortress across 7 jurisdictions.
Every competitor addresses one piece. Only QLT combines room-temperature quantum coherence, all-optical switching, and >90% OpEx reduction on a single chip.
✗ Requires 4K cryogenics · ✗ No OpEx advantage
✗ Requires cryogenics · ✗ No OpEx advantage
✗ Superconducting 15mK · ✗ $20M+ per fridge
✗ Superconducting 15mK · ✗ Not deployable at scale
Subscription cloud access to QLT processors. Recurring ARR at hyperscale.
Defense & enterprise. Dedicated processors for classified environments and trading floors.
License ODR architecture to quantum and semiconductor OEMs. Industry-wide royalties.
SBIR, STTR, CRADA contracts. DoD ($998M QIS), DOE, DARPA QBI ($250M).
Near-term (12–24 mo). >90% OpEx reduction for data center operators. First revenue path.
5-year models, unit economics, cap tables available under NDA
The electron transistor had its era. Quantum Light Technology is building what comes next — >90% OpEx reduction, room-temperature quantum coherence, speed-of-light compute. From edge to hyperscale.