Q-Memory: Room-Temperature Photonic Quantum Processor for AI Acceleration & Quantum Computing

Q-Memory builds photonic quantum processors that run at room temperature — delivering programmable quantum computing, AI matrix acceleration at the speed of light, quantum-secure communications, and Quantum Reservoir Computing for ML inference at 95–99% accuracy with no fault tolerance required.

We are the only quantum company with three independent near-term revenue streams from a single chip architecture, none of which require fault-tolerant quantum advantage to generate revenue.

The Problem

• Quantum computers need a €1M+ refrigerator cooled to −273°C before a single computation runs, limiting scale to ~100 qubits

• A 10B-parameter AI model serving cluster burns 2 MW non-stop — equal to powering 2,000 homes — just to process queries

• No portable quantum product exists anywhere in the market; every system requires a specialist facility and months of lead time

• Quantum startups have no near-term revenue, all betting on a fault-tolerant advantage that may be years away

Our Solution — One Chip, Three Revenue Streams

1. Room temperature operation — our photonic chip runs at room temperature; only the detector needs cooling (~€80K). SiN waveguide loss is 400x better than silicon

2. AI Acceleration — a 64-mode MZI mesh performs optical matrix multiply at the speed of light, matching GPU cluster throughput at 100x less energy (40 kW vs 2 MW)

3. Quantum ML with no fault tolerance — Quantum Reservoir Computing on Phase 2 hardware delivers >95% accuracy on time-series tasks, deployable immediately

4. Quantum-secure communications — on-chip QKD demonstrated beyond the PLOB repeaterless bound at 370 km of fibre

5. Standard CMOS foundry — built on LioniX TriPleX MPW and IMEC processes, no proprietary process or exclusivity lock-in

Technology & Validation

• Pre-validated by GDSFactory, Perceval and SAX simulation — all scripts PASS

• 99.995% Clements decomposition fidelity, 100% HOM visibility, 40 dB MZI extinction ratio

• MPW tape-out booked with LioniX (Q4 2026)

Market

• $500B total addressable market by 2035 (quantum computing + AI acceleration + optical compute + QKD)

• $50B serviceable addressable market by 2030

• Demand pull from hyperscalers (Microsoft, Google, Amazon, Meta), hitting power-efficiency limits in AI data centres

IP Moat

25 patents planned across 6 families (Architecture, Phase Memory, Photon Sources, Dual-Mode AI/Quantum, Applications, Circuit Design), filing from Q3 2026 via Unitary Patent.

Company

Q-Memory Limited, registered in England & Wales (Company No. 17254958). Raising seed round Q3 2026 to fund the 18-month runway to Phase 1 tape-out results and first NRE signed.

Contact: yucelz@q-memory.tech · www.q-memory.tech