Nicholas S. DiBrita

According to our database, Nicholas S. DiBrita authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus.

Jason Han, Nicholas S. DiBrita, Daniel Leeds, Jianqiang Li, Jason Ludmir, Tirthak Patel

CoRR, October, 2025

QMill: Representative Quantum Data Generation for Quantum Machine Learning Utility.

Jason Ludmir, Ian Martin, Nicholas S. DiBrita, Daniel Leeds, Tirthak Patel

CoRR, September, 2025

ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers.

Nicholas S. DiBrita, Jason Han, Tirthak Patel

CoRR, June, 2025

Modeling and Simulating Rydberg Atom Quantum Computers for Hardware-Software Co-design with PachinQo.

Jason Ludmir, Yuqian Huo, Nicholas S. DiBrita, Tirthak Patel

Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025

EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data.

Jason Han, Nicholas S. DiBrita, Younghyun Cho, Hengrui Luo, Tirthak Patel

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks.

Nicholas S. DiBrita, Daniel Leeds, Yuqian Huo, Jason Ludmir, Tirthak Patel

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024