LLM Digest

Story

arxiv_cs_lg · Apr 29, 2026 · paper

Source brief

Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware

arxiv.orgApr 29, 2026
original source linked

In brief

We present a quantum feature-selection framework based on a higher-order unconstrained binary optimization (HUBO) formulation that explicitly incorporates multivariate dependencies beyond standard quadratic encodings....

Read the original at arxiv.org →Open in live feed

Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware

Earlier in this thread 3 items

Reaching SOTA on deep research benchmarks by automating agent optimization

UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models

Optimal algorithmic complexity of inference in quantum kernel methods