activity
20242026
most citedDetailed assessment of calculating drag force with quantum computers: Explicit time-evolution precludes exponential advantage for nonlinear differential equations

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Autoregressive Differentiable Method for Integer Programming

Ouns El Harzli, Yudong Cao

We introduce an autoregressive differentiable method to solve 0-1 integer programs. We fix an arbitrary order of the binary variables and we train a transformer to predict the next…

cs.LG2026

Position: Quantum Program Generation Must Prioritize Validity Over Probabilistic Scaling

Junhao Song, Yu Zhou, William Knottenbelt +1

The scaling hypothesis assumes that increasing model parameters yields emergent reasoning capabilities. This position paper argues that applying this probabilistic paradigm to gene…

quant-ph2026

Data Verification is the Future of Quantum Computing Copilots

Junhao Song, Ziqian Bi, Xinliang Chia +2

Quantum program generation demands a level of precision that may not be compatible with the statistical reasoning carried out in the inference of large language models (LLMs). Hall…

quant-ph2025

Towards solving industrial integer linear programs with Decoded Quantum Interferometry

Francesc Sabater, Ouns El Harzli, Geert-Jan Besjes +6

Optimization via decoded quantum interferometry (DQI) has recently gained a great deal of attention as a promising avenue for solving optimization problems using quantum computers.…

quant-ph2024★ 4 cited

Detailed assessment of calculating drag force with quantum computers: Explicit time-evolution precludes exponential advantage for nonlinear differential equations

John Penuel, Amara Katabarwa, Peter D. Johnson +5

This study examines the potential for fault-tolerant quantum computers to provide utility in fluid dynamics simulations, with a focus on drag force calculations for ship hull desig…