• CMOS-Compatible Quantum Processor

Q-Memory Photonic Quantum Processor

We submitted 28 inventions across 6 families to the UK Patent Office (IPO)

A room-temperature quantum processor, simulated down to the photon

  • This is the actual 4-mode photonic mesh queued for UK silicon-nitride foundry — every waveguide, splitter, and heater below was extracted from the real GDS layout and run through a circuit simulator, not sketched for a slide.
IN 01 23 OUT MZI0 MZI2 MZI1 MZI3 MZI5 MZI4

Quantum computing, AI acceleration, and secure communications all integrated into a single chip

THE SOLUTION

One Chip. Three Breakthroughs

Our photonic chip runs at room temperature — only the photon detector needs cooling, in a unit the size of a server rack, not a room. A reconfigurable mesh of light channels performs both quantum computation and AI matrix multiplication, reprogrammed entirely in software with no hardware change.

Room-Temperature Quantum Computing

Programmable photonic processor for NISQ algorithms and quantum reservoir computing, with no dilution refrigerator.

AI Acceleration at the Speed of Light

 An optical mesh performs matrix multiplication using photons instead of electrons, targeting ~100× lower energy per operation than a GPU.

Standard CMOS foundry

On-chip entangled photon generation for quantum key distribution — encryption secured by the laws of physics, not computational hardness.

Quantum ML with no fault tolerance

This layer locks every mirror at zero static power, saving an additional 490 W per 256-mirror chip.AI model weights persist across power cycles with no re-programming. No other photonic AI chip has demonstrated yet

Q-Memory Design

Use Cases & Applications

Quantum ML — Predictions from Noise

Traditional AI systems often require tens of thousands of training examples to recognize and learn complex patterns. In contrast, our 64-mode photonic chip achieves comparable learning performance using as few as samples

Predictive Analytics

Unlock the power your data with predictive analytics.
Quantum Data Centre — Rack-Scale Photonic Computing
  • Star topology — core fusion chip (256-mode)
  • 655 TOPS at ~10 fJ/MAC — GPU-comparable
  • 40 kW replaces ~2 MW for equivalent AI
  • ~€480K/year saved per rack vs an equivalent GPU cluster

The Quantum Internet

The same chip routes quantum logic gates and distributes entangled photon pairs across fibre at 1550 nm — the wavelength existing telecoms infrastructure already carries.

Unbreakable Communications

tangled photon pairs generated on-chip create encryption keys that obey the laws of physics — any eavesdropper disturbs the quantum state and is instantly detected.
Q-Memory vs Other Quantum

Q-Memory vs Others

The advantages of q-memory architecture over other classical quantum solutions.

Dual-mode platform

quantum compute + AI matrix multiply on the same chip. Q-Memory can generate commercial AI revenue in 2027

PCM non-volatile phase memory

locks mirror positions with zero continuous power, saving ~490 W in a 256-mode design

Quantum-Kernel ML on hardware

quantum kernel methods run on the 64-mode SiN + SNSPD chip with no fault tolerance, no error correction and no added hardware, outperforming classical kernels on structured datasets