John K. Golden

Orcid: 0000-0001-9369-0925

According to our database1, John K. Golden authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Trainability Barriers in Low-Depth QAOA Landscapes.
CoRR, 2024

2023
Hierarchical Multigrid Ansatz for Variational Quantum Algorithms.
CoRR, 2023

Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs.
CoRR, 2023

Lower Bounds on Number of QAOA Rounds Required for Guaranteed Approximation Ratios.
CoRR, 2023

JuliQAOA: Fast, Flexible QAOA Simulation.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Numerical Evidence for Exponential Speed-Up of QAOA over Unstructured Search for Approximate Constrained Optimization.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

The Quantum Alternating Operator Ansatz for Satisfiability Problems.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022
Quantum Algorithms for Geologic Fracture Networks.
CoRR, 2022

Evidence for Super-Polynomial Advantage of QAOA over Unstructured Search.
CoRR, 2022

2021
Pre- and post-processing in quantum-computational hydrologic inverse analysis.
Quantum Inf. Process., 2021

QAOA-based Fair Sampling on NISQ Devices.
CoRR, 2021

Sampling on NISQ Devices: "Who's the Fairest One of All?".
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

Threshold-Based Quantum Optimization.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

2020
Reverse Annealing for Nonnegative/Binary Matrix Factorization.
CoRR, 2020

Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019
Learning to regularize with a variational autoencoder for hydrologic inverse analysis.
CoRR, 2019


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