Reference · 2013
Quantum algorithms for learning symmetric juntas via the adversary bound
Belovs, A. (2013). Quantum algorithms for learning symmetric juntas via the adversary bound. arXiv:1311.6777.
- Authors
- Aleksandrs Belovs
- Venue
- arXiv:1311.6777
Cited from the 19 Oct 2026 digest as the prior majority-junta bound. The preprint states an upper bound on the order of k to the power 1/4 for identifying the variables of a majority junta. Krivcenko, Nguyen, and de Wolf say their logarithmic query algorithm answers an open question in Section 8 of Belovs's later journal version. This record points at the preprint whose abstract states the one-fourth bound.
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Updated 19 Oct 2026.