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A Neural Network Rebuilt Four Qubits From Their Margins
Two- and three-qubit fragments encoded when a global state was unique—and supported faithful reconstruction on an NMR processor.
Summary
Two- and three-qubit fragments encoded when a global state was unique—and supported faithful reconstruction on an NMR processor.
Semidefinite programming mapped reconstructability across 49 four-qubit entanglement classes. Neural networks then classified when reduced density matrices uniquely fixed the full state and reconstructed it when possible; experiments on a four-qubit NMR processor remained faithful despite noise and control imperfections.
Why it matters
Two- and three-qubit fragments encoded when a global state was unique—and supported faithful reconstruction on an NMR processor.
Limits and context
No additional limitation was separately recorded.
Key claims
Two- and three-qubit fragments encoded when a global state was unique—and supported faithful reconstruction on an NMR processor.
Evidence: source-2026-09-08-018
Sources
- arXiv preprint 2609.04896arXiv · primary research
Corrections
No corrections have been recorded for this story.