activity
20232026
most citedCoupling conduction-band valleys in SiGe heterostructures via shear strain and Ge concentration oscillations

14 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

CANOE: Classically Assisted Non-Orthogonal Eigensolver

Jihyeon Park, Collin C. D. Frink, Matthew Otten

In the early fault-tolerant regime, where quantum resources remain limited, hybrid quantum-classical strategies offer one possible route toward quantum advantage. We introduce CANO…

quant-ph2025

Hardware Efficient Quantum Kernels Using Multimode Bulk Acoustic Resonators

Collin C. D. Frink, Chaoyang Ti, Stephen K. Gray +2

The kernel trick is a widely applicable technique in machine learning domains that maps datasets that are difficult to classify into a computationally friendly feature space. As th…

quant-ph2025

Quantum Compressive Sensing Meets Quantum Noise: A Practical Exploration

Naveed Naimipour, Collin Frink, Harry Shaw +2

Compressive sensing is a signal processing technique that enables the reconstruction of sparse signals from a limited number of measurements, leveraging the signal's inherent spars…

cond-mat.mes-hall2023★ 3 cited

Reducing strain fluctuations in quantum dot devices by gate-layer stacking

Collin C. D. Frink, Talise Oh, E. S. Joseph +5

Nanofabricated metal gate electrodes are commonly used to confine and control electrons in electrostatically defined quantum dots. However, these same gates impart strain-induced p…

cond-mat.mes-hall2023★ 14 cited

Coupling conduction-band valleys in SiGe heterostructures via shear strain and Ge concentration oscillations

Benjamin D. Woods, Hudaiba Soomro, E. S. Joseph +4

Engineering conduction-band valley couplings is a key challenge for Si-based spin qubits. Recent work has shown that the most reliable method for enhancing valley couplings entails…