Good Papers

Showing papers from Tencent Quantum Lab Show all papers

71%Highly rated
?Highly ratedVote to see the score

Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise

Quantum estimators for heavy-tailed noise enable QNSGD and QPSGD to find ε-stationary or optimal solutions with poly(√d, ε) oracle queries, beating classical lower bounds in low dimensions.

Bin Luo, Chengchang Liu, Jonathan Allcock, Shengyu Zhang and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
6/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 6 of 20 reviewers recommend it
lenient 2/5
medium 3/10
strict 1/5