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Operation Superpose
In Development
Evolved to QuantNOA
A photonic-quantum compute engine for vector arrays: uses light-based superposition to process massive embedding sets in parallel, endowing machines with human-like memory recall and reasoning capabilities.
The Gap
Silicon-bound computing architectures hit performance ceilings on large-scale AI workloads, limiting real-time vector processing and human-like reasoning.
Introducing
Photonic-quantum vector processor
By harnessing photonic quantum properties, Superpose shatters silicon-bound performance ceilings—delivering near-instantaneous, human-like recall and inference at unprecedented scale.
Core functionality
Encodes high-dimensional embeddings into optical modes
Executes parallel transforms via quantum superposition
Outputs processed vectors to downstream AI models
Integrates with classical accelerators in hybrid pipelines
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