This review article synthesizes recent progress in a bio-inspired quantum approach that treats noise, dissipation, and dynamics as resources, drawing from neuroscience, neuromorphic design, and quantum biology, and identifies key challenges and opportunities on the path toward scalable, adaptive quantum processors.
A unified QAI framework and a structured classification of Quantum Autonomy Levels (QALs) are introduced, which provides a roadmap toward autonomous quantum-optics laboratories and photonic quantum technologies.
Mrittunjoy GuhaMajumdar· APL Quantum· 0 citations
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