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From the 1 of 11 linked papers with an AI index.

activity
20242026
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11 papers

quant-ph2026

Trotter error compensation with polylogarithmic precision and nested-commutator scaling without ancillas

Xinzhao Wang, Shuo Zhou, Ziruo Wang +5

The paper introduces a high‑order nested‑commutator compensation (HNCC) algorithm that reduces the circuit size needed for Hamiltonian simulation to polylogarithmic dependence on p…

math.CO2026

An algorithmic Polynomial Freiman-Ruzsa theorem

Davi Castro-Silva, Jop Briët, Srinivasan Arunachalam +2

We provide algorithmic versions of the Polynomial Freiman-Ruzsa theorem of Gowers, Green, Manners, and Tao (Ann. of Math., 2025). In particular, we give a polynomial-time algorithm…

quant-ph2026

Pseudo-deterministic Quantum Algorithms

Hugo Aaronson, Tom Gur, Jiawei Li

We initiate a systematic study of pseudo-deterministic quantum algorithms. These are quantum algorithms that, for any input, output a canonical solution with high probability. Focu…

quant-ph2026

High-precision and low-depth quantum algorithm design for eigenstate problems

Jinzhao Sun, Pei Zeng, Tom Gur +1

Estimating the eigenstate properties of quantum systems is a long-standing, challenging problem for both classical and quantum computing. Existing universal quantum algorithms typi…

cs.CC2025

3-Query RLDCs are Strictly Stronger than 3-Query LDCs

Tom Gur, Dor Minzer, Guy Weissenberg +1

We construct -query relaxed locally decodable codes (RLDCs) with constant alphabet size and length for -bit messages. Combined with the lower bound of $\tild…

cs.CC2025

Nearly Tight Lower Bounds for Relaxed Locally Decodable Codes via Robust Daisies

Guy Goldberg, Tom Gur, Sidhant Saraogi

We show a nearly optimal lower bound on the length of linear relaxed locally decodable codes (RLDCs). Specifically, we prove that any -query linear RLDC $C\colon \{0,1\}^k \to \…