Your intuition
is probably wrong.
A misconceptions where you form the wrong idea first — then watch it collapse into something real. Built by a quantum lover, learning in public.
The method
Built around one idea:
collapse the wrong intuition
Encounter the myth
Each case opens with a claim that feels completely true. You are supposed to believe it — at first.
Test it yourself
An interactive demo lets you poke the idea until it breaks. The simulator is one click away.
Watch it collapse
The correction lands harder because you already believed the wrong thing. That is the whole point.
Dilution Refrigerator Architecture
QPU operating at ~15 mK · colder than outer space
Misconceptions
Featured cases
Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
Aizpurua, B., Singh et al.
arXiv
Main idea
Inserts Cayley-parameterised unitary adapters — quantum circuit blocks — into the frozen projection layers of pre-trained LLMs, executed on a 156-qubit IBM Quantum System Two. The method improves the perplexity of Llama 3.1 8B by 1.4% with only 6,000 additional parameters, with end-to-end inference validated on real quantum hardware, not a simulator.
★ Real quantum hardware enters the inference loop of a production-scale LLM (Llama 3.1 8B on IBM's 156-qubit machine) — a genuine first. But read it as feasibility, not advantage: a 1.4% gain that took over 4 hours to run, where a GPU finishes in under a second.
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