Learning to regularize with a variational autoencoder for hydrologic inverse analysis. - Daniel O'Malley; John K. Golden; Velimir V. Vesselinov (CoRR, 2019)

Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations. - Daniel O'Malley; John K. Golden (HPEC, 2020)

Reverse Annealing for Nonnegative/Binary Matrix Factorization. - John K. Golden; Daniel O'Malley (CoRR, 2020)

Threshold-Based Quantum Optimization. - John K. Golden; Andreas Bärtschi; Daniel O'Malley; Stephan J. Eidenbenz (QCE, 2021)

Sampling on NISQ Devices: "Who's the Fairest One of All?". - Elijah Pelofske; John K. Golden; Andreas Bärtschi; Daniel O'Malley; Stephan J. Eidenbenz (QCE, 2021)

QAOA-based Fair Sampling on NISQ Devices. - John K. Golden; Andreas Bärtschi; Daniel O'Malley; Stephan J. Eidenbenz (CoRR, 2021)

Pre- and post-processing in quantum-computational hydrologic inverse analysis. - John K. Golden; Daniel O'Malley (Quantum Inf. Process., 2021)

Evidence for Super-Polynomial Advantage of QAOA over Unstructured Search. - John K. Golden; Andreas Bärtschi; Stephan J. Eidenbenz; Daniel O'Malley (CoRR, 2022)

Quantum Algorithms for Geologic Fracture Networks. - Jessie M. Henderson; Marianna Podzorova; M. Cerezo; John K. Golden; Leonard Gleyzer; Hari S. Viswanathan; Daniel O'Malley (CoRR, 2022)

The Quantum Alternating Operator Ansatz for Satisfiability Problems. - John K. Golden; Andreas Bärtschi; Daniel O'Malley; Stephan J. Eidenbenz (QCE, 2023)

Numerical Evidence for Exponential Speed-Up of QAOA over Unstructured Search for Approximate Constrained Optimization. - John K. Golden; Andreas Bärtschi; Daniel O'Malley; Stephan J. Eidenbenz (QCE, 2023)

High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices. - Elijah Pelofske; Andreas Bärtschi; John K. Golden; Stephan J. Eidenbenz (QCE, 2023)

JuliQAOA: Fast, Flexible QAOA Simulation. - John K. Golden; Andreas Bärtschi; Dan O'Malley; Elijah Pelofske; Stephan J. Eidenbenz (SC Workshops, 2023)

Lower Bounds on Number of QAOA Rounds Required for Guaranteed Approximation Ratios. - Naphan Benchasattabuse; Andreas Bärtschi; Luis Pedro García-Pintos; John K. Golden; Nathan Lemons; Stephan J. Eidenbenz (CoRR, 2023)

Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs. - Elijah Pelofske; Andreas Bärtschi; Lukasz Cincio; John K. Golden; Stephan J. Eidenbenz (CoRR, 2023)

Trainability Barriers in Low-Depth QAOA Landscapes. - Joel Rajakumar; John K. Golden; Andreas Bärtschi; Stephan J. Eidenbenz (CF, 2024)

Hierarchical Multigrid Ansatz for Variational Quantum Algorithms. - Christo Meriwether Keller; Stephan J. Eidenbenz; Andreas Bärtschi; Daniel O'Malley; John K. Golden; Satyajayant Misra (ISC, 2024)