Atomfair Brainwave Hub: SciBase II / Advanced Materials and Nanotechnology / Advanced materials for energy and computing

Advanced materials for energy and computing

Showing 13-24 of 92 articles

Enhancing quantum computing efficiency within quantum coherence windows using error-corrected qubits

Improving quantum computing stability with embodied active learning in error correction systems

Optimizing sparse mixture-of-experts models for energy-efficient AI training and inference

Optimizing exascale system integration for real-time climate modeling at petabyte scales

For exascale system integration of modular fusion reactor diagnostics

In Planck-scale approximations for quantum gravity simulations using superconducting qubits

Probing quantum coherence limits in superconducting qubits with microwave pulse shaping

Optimizing exascale system integration through rapid prototyping cycles for high-performance computing

Advancing deep learning efficiency for sparse mixture-of-experts models with energy-efficient attention

Optimizing quantum error correction for exascale system integration by 2026

Quantum noise suppression at Josephson junction frequencies for scalable qubit arrays

Probing quantum coherence effects at Josephson junction frequencies in superconducting qubits