k-sat 1measurement-driven algorithms 1multi-channel measurements 1optimal control 1quantum zeno effect 1
From the 1 of 3 papers with an AI index.
- University of California, BerkeleyUS3 papers
- ARC Centre of Excellence for Environmental DecisionsAU1 paper
- École Normale Supérieure - PSLFR1 paper
- ETH ZurichCH1 paper
- Korea Advanced Institute of Science and TechnologyKR1 paper
- Max Planck Institute for Intelligent SystemsDE1 paper
- Monash UniversityAU1 paper
- Sorbonne UniversitéFR1 paper
- Stanford UniversityUS1 paper
- Tsinghua UniversityCN1 paper
- University of EdinburghGB1 paper
- University of OxfordGB1 paper
3 papers
cs.RO2026
Advances, challenges, and opportunities for legged robots
Jonas Frey, MatÃas Mattamala, Hae-Won Park +5
Humanoid and quadrupedal robots have the potential to revolutionize the way we work, interact, and coexist with intelligent machines. To understand their effects on society and how…
quant-ph2026
Optimal schedule of multi-channel quantum Zeno dragging with application to solving the k-SAT problem
Yipei Zhang, Alain Sarlette, Philippe Lewalle +3
The paper analyzes how to optimally schedule multi-channel quantum Zeno dragging—using simultaneous measurements of non‑commuting observables—to drive a quantum system toward a tar…
stat.CO2026
A Fully Automated DM-BIM-BEM Pipeline Enabling Graph-Based Intelligence, Interoperability, and Performance-Driven Early Design
Jun Xiao, Qiong Wang, Yihui Li +3
Artificial intelligence in construction increasingly depends on structured representations such as Building Information Models and knowledge graphs, yet early-stage building design…