most citedQuantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact

8 citations · 18 across the 6 of their papers we have counts for

collaborators

7 papers

quant-ph2026

When do quantum views help? Complementary classical-quantum representations in multi-view fusion

Azadeh Alavi, Fatemeh Kouchmeshki, Hossein Akhoundi +3

Recent studies have reported promising results from quantum machine learning in drug discovery, healthcare, materials science and cybersecurity. Research includes comparisons with…

physics.chem-ph2026

A Givens-exchange ansatz for molecular variational eigensolvers

Azadeh Alavi, Fatemeh Kouchmeshki, Muhammad Usman +4

Molecular ground-state energies help determine conformer rankings, reaction energetics, and electronic effects in computational drug discovery, but accurate calculations become dif…

physics.chem-ph2026

QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification

Azadeh Alavi, Fatemeh Kouchmeshki, Muhammad Usman +1

Small quantitative structure-activity relationship (QSAR) studies are difficult when close molecular analogues have different activity labels. This paper asks whether a quantum ker…

cs.LG2026

Geometric and Quantum Kernel Methods for Predicting Skeletal Muscle Outcomes in chronic obstructive pulmonary disease

Azadeh Alavi, Hamidreza Khalili, Stanley H. Chan +3

Chronic obstructive pulmonary disease (COPD) affects hundreds of millions of people worldwide, and skeletal-muscle dysfunction is clinically important. Quantum machine learning is…

cs.LG2024★ 8 cited

Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact

Zeheng Wang, Fangzhou Wang, Liang Li +5

Modeling complex semiconductor fabrication processes such as Ohmic contact formation remains challenging due to high-dimensional parameter spaces and limited experimental data. Whi…

eess.SP2024★ 8 cited

Self-Adaptive Quantum Kernel Principal Components Analysis for Compact Readout of Chemiresistive Sensor Arrays

Zeheng Wang, Timothy van der Laan, Muhammad Usman

The rapid growth of Internet of Things (IoT) devices necessitates efficient data compression techniques to handle the vast amounts of data generated by these devices. Chemiresistiv…

cs.LG2024★ 2 cited

Blue and Green-Mode Energy-Efficient Nanoparticle-Based Chemiresistive Sensor Array Realized by Rapid Ensemble Learning

Zeheng Wang, James Scott Cooper, Muhammad Usman +1

The rapid advancement of Internet of Things (IoT) necessitates the development of optimized nanoparticle-based Chemiresistive Sensor (CRS) arrays that are energy-efficient, specifi…