10 citations · 18 across the 7 of their papers we have counts for
7 papers
QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding
Shuxiang Cao, Zijian Zhang, Abhishek Agarwal +29
Quantum computing calibration depends on interpreting experimental data, and calibration plots provide the most universal human-readable representation for this task, yet no system…
TreeWriter: AI-Assisted Hierarchical Planning and Writing for Long-Form Documents
Zijian Zhang, Fangshi Du, Xingjian Liu +5
Long documents pose many challenges to current intelligent writing systems. These include maintaining consistency across sections, sustaining efficient planning and writing as docu…
El Agente Cuantico: Automating quantum simulations
Ignacio Gustin, Luis Mantilla Calderón, Juan B. Pérez-Sánchez +8
Quantum simulation is central to understanding and designing quantum systems across physics and chemistry. Yet it has barriers to access from both computational complexity and comp…
TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models
Zijian Zhang, Pan Chen, Fangshi Du +4
Efficiently navigating and understanding academic papers is crucial for scientific progress. Traditional linear formats like PDF and HTML can cause cognitive overload and obscure a…
Scalable Autoregressive 3D Molecule Generation
Austin H. Cheng, Chong Sun, Alán Aspuru-Guzik
Generative models of 3D molecular structure play a rapidly growing role in the design and simulation of molecules. Diffusion models currently dominate the space of 3D molecule gene…
Agents for self-driving laboratories applied to quantum computing
Shuxiang Cao, Zijian Zhang, Mohammed Alghadeer +5
Fully automated self-driving laboratories are promising to enable high-throughput and large-scale scientific discovery by reducing repetitive labour. However, effective automation…
A theory of understanding for artificial intelligence: composability, catalysts, and learning
Zijian Zhang, Sara Aronowitz, Alán Aspuru-Guzik
Understanding is a crucial yet elusive concept in artificial intelligence (AI). This work proposes a framework for analyzing understanding based on the notion of composability. Giv…