Ziqing Zeng

University of Minnesota

Papers

1

Total Citations

2

H-Index

1

About

Ziqing Zeng is a rising researcher at the forefront of unconventional computing, with a primary focus on Ising machines and coupled oscillator networks for solving combinatorial optimization problems. Their most notable contribution is the development of COBI—a Coupled Oscillator Based Ising chip—which represents a significant step toward energy-efficient, hardware-accelerated solvers for NP-hard problems. This work, published in 2024 and already garnering early citations, demonstrates how networks of coupled oscillators can be engineered to naturally find low-energy states, offering a promising alternative to traditional von Neumann architectures. Zeng’s research bridges the gap between theoretical physics-inspired computing models and practical chip design, making them a key figure in the emerging field of oscillator-based Ising accelerators. By tackling problems like graph partitioning and spin-glass minimization, their work has the potential to impact areas from logistics to machine learning. As a young researcher, Zeng’s contributions signal a bright future in the quest for novel, physics-driven computing paradigms.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
COBI: A Coupled Oscillator Based Ising Chip for Combinatorial Optimization
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Minnesota

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago