7 papers
Orbital AI Computing: Carbon Tradeoffs Across Satellite Scale
Nisha Sarwar, Lei Jiang, Fan Chen
Low Earth Orbit (LEO) computing is emerging for low-latency, globally distributed AI services, enabled by advances in satellite constellations and reusable launch systems. However,…
QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming
Zhenxiao Fu, Lei Jiang, Yilun Xu +2
Programming quantum circuits at the OpenQASM level is essential for achieving hardware-aware optimization and reliable execution on noisy intermediate-scale quantum (NISQ) devices,…
CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
Lei Jiang, Fan Chen
Large language models (LLMs) increasingly follow neural scaling laws that tie performance gains to rapidly expanding computational budgets, raising concerns about the sustainabilit…
LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites
Lei Jiang, Adrian Ildefonso, Daniel Loveless +1
Large language models (LLMs) impose rapidly growing energy demands, creating an emerging energy and carbon crisis driven by large-scale inference. Solar-powered, AI-enabled low Ear…
QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits
Zhenxiao Fu, Lei Jiang, Fan Chen
Quantum computing remains in the Noisy Intermediate-Scale Quantum (NISQ) era, where the performance is highly constrained to noise. Addressing the limitation often requires hardwar…
CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices
Zhenxiao Fu, Chen Fan, Lei Jiang
LLMs have transformed NLP, yet deploying them on edge devices poses great carbon challenges. Prior estimators remain incomplete, neglecting peripheral energy use, distinct prefill/…