Hybrid Quantum-Classical Diffusion Model

Pre-Seed R&D Opportunity

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Project Summary

We are building a modular, simulation-ready, hybrid quantum-classical architecture that combines qubit circuit encoding, quantum compression, diffusion transformers . This explores a Quantum native generative model that solves the currently limitation on hardware.

As the hardware becomes more advanced, we could move to a fully quantum model.

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Architecture Overview

      [ Text Input ]
            ↓
   Tokenizer (classical)
            ↓
      Qubit Encoder 
            ↓
   Quantum Compression Layer
            ↓
   Quantum Decoder (qubit state → classical vector)
            ↓
   Diffusion Transformer (DiT, 12-layer)
            ↓
      [ Output: prediction / reconstruction ]