Exponential quantum advantage for learning signals with a single qubit
Quantum technology has the potential to transform scientific discovery, but quantum advantages often require processing capabilities well beyond the reach of experimental platforms. We show that coupling a single controllable qubit to an otherwise conventional sensor can exponentially reduce the number of measurements required to learn classical signals. These rigorous quantum advantages apply to fundamental sensing tasks, including learning Fourier coefficients, extracting temporal correlations from time-varying signals, and estimating transformations of physical observables. Using a supercon
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 48%The Classical Advances Needed to Make Quantum Computers Tick →
- PossiblePossibly related (embedding) · 47%Path Integral Quantum Mechanics in the Era of Machine Learning - AIP Publishing LLC →
- FuzzySimilar title/name (fuzzy) · 59%aymericdamien/TopDeepLearning →
“Fuzzy title match (0.73): “Exponential quantum advantage for learning signals with a si” ≈ “aymericdamien/TopDeepLearning””
- PossiblePossibly related (embedding) · 46%Quantum Sensing Leverages ML To Track Three-Level System Phase - Quantum Zeitgeist →
- LinkedLinked via arxiv author · 85%Ishaan Kannan →
“Exponential quantum advantage for learning signals with a single qubit”
- LinkedLinked via arxiv author · 85%Sridhar Prabhu →
“Exponential quantum advantage for learning signals with a single qubit”
- LinkedLinked via arxiv author · 85%Saeed A. Khan →
“Exponential quantum advantage for learning signals with a single qubit”
- LinkedLinked via arxiv author · 85%Mandar M. Sohoni →
“Exponential quantum advantage for learning signals with a single qubit”