Search papers, labs, and topics across Lattice.
US national lab for nuclear and particle physics, home of RHIC.
7
0
0
MTSF-ANO achieves up to 20% better forecasting accuracy than traditional quantum models by leveraging adaptive non-local observables.
Machine learning can unlock unprecedented spatial resolution in resistive silicon sensors, overcoming traditional readout challenges and noise limitations.
The correlation in electronic structure Hamiltonians can be directly quantified by the magic of quantum states, revealing a surprising linear relationship that holds across a wide range of molecular configurations.
Stop wasting experiments: optimizing directly for your decision objective yields better results and more robust designs than just chasing information gain.
Quantum reinforcement learning gets a distributed boost, achieving 10% better performance in multi-agent environments by distributing the learning load across multiple quantum agents.
Guaranteeing real-time performance in safety-critical embedded systems is now easier with a new framework that co-designs hardware and software for heterogeneous accelerators.
