pith:2KC4I3NF
Multivariate Decoded Quantum Interferometry for Weighted Optimization
Multivariate DQI states let quantum algorithms exploit weight structure to outperform a weighted classical benchmark on certain optimization problems.
arxiv:2605.10666 v2 · 2026-05-11 · quant-ph
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Claims
For certain weighted OPI problems, multivariate DQI outperforms a natural weighted analogue of Prange's algorithm, which serves as the weighted counterpart of the classical benchmark used in the unweighted setting.
That the decoder used in the single-call preparation circuit remains effective when the input is a multivariate polynomial state built from weight-blocked constraints, and that the asymptotic closed-form expressions continue to hold under imperfect decoding.
The work develops multivariate DQI states for weighted Max-LINSAT over prime fields, derives closed-form asymptotic expressions for expectation values and concentration, provides an explicit single-decoder preparation circuit, and shows outperformance over weighted Prange's algorithm for certain OPI
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Receipt and verification
| First computed | 2026-05-20T00:03:16.897937Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/2KC4I3NFJHVZLBTSAKSWG7TE4O \
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Canonical record JSON
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