1 citations · 2 across the 5 of their papers we have counts for
5 papers
Smooth Dynamic Cutoffs for Machine Learning Interatomic Potentials
Kevin Han, Haolin Cong, Bowen Deng +1
Machine learning interatomic potentials (MLIPs) have proven to be wildly useful for molecular dynamics simulations, powering countless drug and materials discovery applications. Ho…
Search over Self-Edit Strategies for LLM Adaptation
Alistair Cheong, Haolin Cong, Tyler Yang +1
Many LLM-based open-ended search systems freeze the foundation model that proposes improvements to existing solutions, which may bottleneck long-run progress. Recent work has explo…
Superconductor Logic Implementation with All-JJ Inductor-Free Cell Library
Haolin Cong, Sasan Razmkhah, Mustafa Altay Karamuftuoglu +1
Single flux quantum (SFQ) technology has garnered significant attention due to its low switching power and high operational speed. Researchers have been actively pursuing more adva…
DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic
Mohammad Reza Jokar, Richard Rines, Ghasem Pasandi +5
The control of cryogenic qubits in today's superconducting quantum computer prototypes presents significant scalability challenges due to the massive costs of generating/routing th…
Metastability-Resilient Synchronization FIFO for SFQ Logic
Gourav Datta, Haolin Cong, Souvik Kundu +1
Digital single-flux quantum (SFQ) technology promises to meet the demands of ultra low power and high speed computing needed for future exascale supercomputing systems. The combina…