Reference implementation
Quantum Large Language Model
A training and inference pipeline described for a tensor-network simulator or Automatski’s quantum backend.
What you can explore
Explore a reference pipeline for language-model training and inference with quantum components.
Scope and availability
The described pipeline can use a tensor-network simulator or Automatski’s quantum backend. It is not presented as an independently benchmarked production language-model service.
A useful first evaluation
Specify the task, dataset and evaluation protocol. Compare output quality, memory, latency and total compute with the corresponding classical pipeline.
Start with your problem.
Talk to Quzones about Quantum Large Language Model, your constraints and the next practical step.
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