Author

J. F. Doriguello

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Preprint Oct 2026

Characterizing Quantum Advantage for Generalizations of the Boolean Hidden Matching Problem

We study the one-way communication complexity of the $f$-Boolean Hidden Partition problem. Here, Alice is given an $n$-bit string and Bob is given $\Omega(n)$ disjoint blocks of its indices together with a string of labels. Under the promise that the evaluations of $f$ on these blocks either agree with all of the label...

Mark Bun, J. F. Doriguello, John Kallaugher et al. · 0 citations

Preprint Aug 2026

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model

This work studies two types of MDPs --- finite-horizon and infinite-horizon discounted --- and proposes new quantum algorithms for computing approximate optimal policies, based on a new combination of standard value iteration and quantum subroutines like quantum mean estimation and quantum maximum finding.

J. F. Doriguello · 0 citations