3 papers
cond-mat.mtrl-sci2026
PdNeuRAM: forming-free, multi-bit Pd/HfO2 ReRAM for energy-efficient neuromorphic computing
Erbing Hua, Theofilos Spyrou, Majid Ahmadi +11
Memristor technology shows great promise for energy-efficient computing, yet it grapples with challenges like resistance drift and inherent variability. For filamentary Resistive R…
quant-ph2026
From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data
King Yiu Yu, Aritra Sarkar, Erbing Hua +3
High-fidelity circuit execution on noisy intermediate-scale quantum devices is bottlenecked by compilation pipelines that disregard complex, correlated noise. To address this, this…
quant-ph2025
Neural Network Architectures for Scalable Quantum State Tomography: Benchmarking and Memristor-Based Acceleration
Erbing Hua, Steven van Ommen, King Yiu Yu +6
Quantum State Tomography (QST) is essential for characterizing and validating quantum systems, but its practical use is severely limited by the exponential growth of the Hilbert sp…