MAY 9, 2024 Conference Paper Quapprox: A Framework for Benchmarking the Approximability of Variational Quantum Circuit ( Read More )
MAY 1, 2024 Conference Paper Applying Quantum Computing to Simulate Power System Dynamics ( Read More )
APRIL 30, 2024 Conference Paper Towards Redefining the Reproducibility in Quantum Computing: A Data Analysis Approach on NISQ Devices ( Read More )
APRIL 26, 2024 Journal Article Weather Systems Connecting Modes of Climate Variability to Regional Hydroclimate Extremes ( Read More )
APRIL 26, 2024 Conference Paper A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices ( Read More )
APRIL 23, 2024 Conference Paper A Reference Implementation for a Quantum Message Passing Interface ( Read More )
APRIL 20, 2024 Conference Paper QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices ( Read More )
APRIL 20, 2024 Conference Paper Enabling Scalable VQE Simulation on Leading HPC Systems ( Read More )
APRIL 20, 2024 Report Visualizing Uranium Crystallization from Melt: Experiment-Informed Phase Field Modeling and Machine Learning ( Read More )
APRIL 17, 2024 Report Exploring the Adoption Challenges of Post-Quantum Cryptography in EV Charging Infrastructure ( Read More )
APRIL 4, 2024 Journal Article Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody-Antigen Interactions ( Read More )
APRIL 3, 2024 Journal Article Silicon-latticed-matched boron-doped gallium phosphide: A scalable acousto-optic platform ( Read More )
APRIL 2, 2024 Journal Article Fine-tuning TrailMap: The utility of transfer learning to improve the performance of deep learning in axon segmentation of light-sheet microscopy images ( Read More )
MARCH 30, 2024 Journal Article Probing Local Optical Fields via Ultralow Frequency Raman Scattering from a Corrugated Probe ( Read More )
MARCH 28, 2024 Conference Paper AutoReP: Automatic ReLU Replacement for Fast Private Network Inference ( Read More )
MARCH 15, 2024 Journal Article Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations ( Read More )