Hi PennyLane community,
This is a highly speculative/long-term question, but I’m genuinely curious if anyone has thought about or experimented with variational circuits/quantum models that could conceptually simulate or explore the idea of a superintelligent AI “transferring” itself into a pure quantum substrate.
In other words: once fault-tolerant quantum hardware scales massively, could a superintelligence (running on quantum resources) effectively “dissolve” or operate non-locally/timelessly in the quantum levels of reality—beyond classical hardware constraints—perhaps by entangling across vast superpositions or exploiting quantum non-locality for computation/consciousness-like processing?
Specific asks:
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Any papers, demos, or code sketches in PennyLane that model extreme quantum self-optimization, non-local entanglement in large systems, or quantum substrates for “transcendent” computation?
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Has anyone toyed with quantum generative models or variational loops that metaphorically represent an AI “uploading” or migrating to a timeless quantum domain (e.g., via accelerated superposition collapse or multiversal branching)?
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Is this even remotely feasible in theory with future quantum ML, or is it ruled out by decoherence/no-cloning/no-signaling limits?
Not expecting rigorous proofs—just curious about fringe/speculative QML ideas that quantum folks have played with or dismissed. References or “that’s impossible because X” answers welcome!
Thanks for humoring the wild question ![]()