Quantum Kernel Alignment with Stochastic Gradient Descent. - Gian Gentinetta; David Sutter; Christa Zoufal; Bryce Fuller; Stefan Woerner (QCE, 2023)

Potential and limitations of random Fourier features for dequantizing quantum machine learning. - Ryan Sweke; Erik Recio; Sofiène Jerbi; Elies Gil-Fuster; Bryce Fuller; Jens Eisert; Johannes Jakob Meyer (CoRR, 2023)

Amplitude Estimation from Quantum Signal Processing. - Patrick Rall; Bryce Fuller (Quantum, 2023)

Automated Cut Finding and Circuit Knitting on Large Quantum Circuits. - Ibrahim Shehzad; Edwin Pednault; James R. Garrison; Caleb Johnson; Bryce Fuller; Jennifer R. Glick (QCE, 2024)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)

Potential and limitations of random Fourier features for dequantizing quantum machine learning. - Ryan Sweke; Erik Recio-Armengol; Sofiène Jerbi; Elies Gil-Fuster; Bryce Fuller; Jens Eisert; Johannes Jakob Meyer (Quantum, 2025)