DeepSynaps Lab
DeepSynaps Lab · Research Division

Computing the brain
with light, not silicon alone.

We are building Hybrid AI Chips (HAC) — neuromorphic architectures inspired by how neurons, microtubules, and biophotons appear to process information in the brain. Two generations: HAC v1 (photonic + electric hybrid) and HAC v2 (fully photonic). Long horizon. Real science.

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Research-stage Photonic computing Biophotons Microtubule-inspired
The science we're building on

Why microtubules. Why light.

Three threads from physics and neuroscience that, taken together, suggest the brain may be doing computation we haven't yet captured in silicon.

Microtubules

Cytoskeletal protein lattices inside every neuron. Penrose and Hameroff propose them as the substrate where the brain's most interesting computation — possibly including quantum coherence — actually happens. We treat this hypothesis as architectural inspiration, not settled physics.

Biophotons

Ultraweak photon emissions from living tissue, including neural tissue, are a documented biological phenomenon. Their functional role is still debated — but the fact that the brain emits and may channel light is, for an engineer, a strong hint about what substrate to build on.

Room-temperature quantum

Conventional quantum computing requires extreme cold. Penrose's Orch-OR theory implies the brain achieves quantum-like behavior at body temperature — through structural protection in microtubules. If this can be replicated in a synthetic lattice, it changes what "quantum compute" means.

Intellectual lineage

Inspired by Roger Penrose, Stuart Hameroff, and Orch-OR

Sir Roger Penrose (Oxford) and Stuart Hameroff (Arizona) proposed the Orchestrated Objective Reduction (Orch-OR) theory: that consciousness and high-level computation in the brain arise from quantum processes occurring within neuronal microtubules. The theory remains contested in mainstream physics — but it offers, to us, the single most generative architectural hypothesis for what a non-classical brain-inspired chip could look like.

"Consciousness depends on noncomputable quantum processes occurring at the level of structures in the neuron — specifically microtubules."

— Roger Penrose & Stuart Hameroff, on Orch-OR (paraphrased)

The chips

Hybrid AI Chips (HAC)

Two generations, built deliberately in sequence. Each one a structural attempt to capture more of what neurons actually do.

HAC v1
Photonic + electric, on one wafer
Theoretical validation

A hybrid neuromorphic chip combining photonic and electronic elements on a single integrated wafer. Architecturally inspired by neurons and the microtubule lattice — using light to carry high-bandwidth state transitions and electronics for control, memory, and interface.

SubstratePhotonic + electric hybrid wafer
InspirationNeuronal microtubule lattice
TargetRoom-temperature quantum-like behavior
StageTheoretical validation (current)
Neuromorphic Photonic-electric Microtubule-inspired Room-temp quantum (target)
HAC v2
Fully photonic AI chip
Feasibility phase

A second-generation chip that drops the electronic substrate entirely — fully photonic, inspired by the way neural tissue appears to emit and channel biophotons. The aim is a computing substrate that operates the way the brain does: with light, in warm matter, structured by microtubule-like lattices.

SubstrateFully photonic — light-based compute
InspirationBiophotons + microtubule structure
GoalBrain-substrate-faithful neuromorphic chip
StageFeasibility (current)
Photonic Biophoton-inspired Microtubule-inspired Neuromorphic
Research program

What the Lab works on

Three concurrent research tracks that feed the HAC roadmap.

Neuroscience-faithful architectures

Reading current neuroscience, identifying mechanisms that classical compute fails to model, and translating them into chip-level primitives.

Photonic & hybrid hardware

Theoretical and simulated design of photonic / electric-photonic wafers — waveguides, modulators, and the lattice geometries that approximate microtubule behavior.

Quantum-at-warm-matter

Exploring the conditions under which non-classical computation can survive at room temperature — drawing on Orch-OR, structural quantum protection, and adjacent quantum-biology literature.

Researchers, physicists, photonics engineers — we want to talk

DeepSynaps Lab is a small, long-horizon research group. If you work on neuromorphic hardware, photonic computing, quantum biology, or adjacent territory — or you fund it — we'd like to hear from you.

Email the Lab WhatsApp Dr. Ali