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John K. Golden
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2020 – today
- 2024
- [c9]Joel Rajakumar, John K. Golden, Andreas Bärtschi, Stephan J. Eidenbenz:
Trainability Barriers in Low-Depth QAOA Landscapes. CF 2024 - [c8]Christo Meriwether Keller, Stephan J. Eidenbenz, Andreas Bärtschi, Daniel O'Malley, John K. Golden, Satyajayant Misra:
Hierarchical Multigrid Ansatz for Variational Quantum Algorithms. ISC 2024: 1-11 - [i15]Joel Rajakumar, John K. Golden, Andreas Bärtschi, Stephan J. Eidenbenz:
Trainability Barriers in Low-Depth QAOA Landscapes. CoRR abs/2402.10188 (2024) - 2023
- [c7]John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
The Quantum Alternating Operator Ansatz for Satisfiability Problems. QCE 2023: 307-312 - [c6]John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
Numerical Evidence for Exponential Speed-Up of QAOA over Unstructured Search for Approximate Constrained Optimization. QCE 2023: 496-505 - [c5]Elijah Pelofske, Andreas Bärtschi, John K. Golden, Stephan J. Eidenbenz:
High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices. QCE 2023: 506-517 - [c4]John K. Golden, Andreas Bärtschi, Dan O'Malley, Elijah Pelofske, Stephan J. Eidenbenz:
JuliQAOA: Fast, Flexible QAOA Simulation. SC Workshops 2023: 1454-1459 - [i14]John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
The Quantum Alternating Operator Ansatz for Satisfiability Problems. CoRR abs/2301.11292 (2023) - [i13]Elijah Pelofske, Andreas Bärtschi, John K. Golden, Stephan J. Eidenbenz:
High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices. CoRR abs/2306.03238 (2023) - [i12]Naphan Benchasattabuse, Andreas Bärtschi, Luis Pedro García-Pintos, John K. Golden, Nathan Lemons, Stephan J. Eidenbenz:
Lower Bounds on Number of QAOA Rounds Required for Guaranteed Approximation Ratios. CoRR abs/2308.15442 (2023) - [i11]Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio, John K. Golden, Stephan J. Eidenbenz:
Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs. CoRR abs/2312.00997 (2023) - [i10]Christo Meriwether Keller, Stephan J. Eidenbenz, Andreas Bärtschi, Daniel O'Malley, John K. Golden, Satyajayant Misra:
Hierarchical Multigrid Ansatz for Variational Quantum Algorithms. CoRR abs/2312.15048 (2023) - 2022
- [i9]John K. Golden, Andreas Bärtschi, Stephan J. Eidenbenz, Daniel O'Malley:
Evidence for Super-Polynomial Advantage of QAOA over Unstructured Search. CoRR abs/2202.00648 (2022) - [i8]Jessie M. Henderson, Marianna Podzorova, M. Cerezo, John K. Golden, Leonard Gleyzer, Hari S. Viswanathan, Daniel O'Malley:
Quantum Algorithms for Geologic Fracture Networks. CoRR abs/2210.11685 (2022) - 2021
- [j1]John K. Golden, Daniel O'Malley:
Pre- and post-processing in quantum-computational hydrologic inverse analysis. Quantum Inf. Process. 20(5): 176 (2021) - [c3]John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
Threshold-Based Quantum Optimization. QCE 2021: 137-147 - [c2]Elijah Pelofske, John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
Sampling on NISQ Devices: "Who's the Fairest One of All?". QCE 2021: 207-217 - [i7]John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
QAOA-based Fair Sampling on NISQ Devices. CoRR abs/2101.03258 (2021) - [i6]John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
Threshold-Based Quantum Optimization. CoRR abs/2106.13860 (2021) - [i5]Elijah Pelofske, John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
Sampling on NISQ Devices: "Who's the Fairest One of All?". CoRR abs/2107.06468 (2021) - 2020
- [c1]Daniel O'Malley, John K. Golden:
Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations. HPEC 2020: 1-6 - [i4]John K. Golden, Daniel O'Malley:
Reverse Annealing for Nonnegative/Binary Matrix Factorization. CoRR abs/2007.05565 (2020) - [i3]Daniel O'Malley, John K. Golden:
Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations. CoRR abs/2009.00111 (2020)
2010 – 2019
- 2019
- [i2]Daniel O'Malley, John K. Golden, Velimir V. Vesselinov:
Learning to regularize with a variational autoencoder for hydrologic inverse analysis. CoRR abs/1906.02401 (2019) - [i1]John K. Golden, Daniel O'Malley:
Pre- and post-processing in quantum-computational hydrologic inverse analysis. CoRR abs/1910.00626 (2019)
Coauthor Index
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