Elijah Pelofske

IEEE Trans. Inf. Forensics Secur., 2024

Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2024

Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2024

An Efficient All-to-All GCD Algorithm for Low Entropy RSA Key Factorization.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2024

Comparing Quantum Annealing and Spiking Neuromorphic Computing for Sampling Binary Sparse Coding QUBO Problems.

[BibT_eX]

[DOI]

CoRR, 2024

Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Solving larger maximum clique problems using parallel quantum annealing.

[BibT_eX]

[DOI]

Quantum Inf. Process., May, 2023

Dataset for Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems.

[BibT_eX]

[DOI]

Dataset, January, 2023

Posiform planting: generating QUBO instances for benchmarking.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Provable bounds for noise-free expectation values computed from noisy samples.

[BibT_eX]

[DOI]

CoRR, 2023

Probing Quantum Telecloning on Superconducting Quantum Processors.

[BibT_eX]

[DOI]

CoRR, 2023

Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation.

[BibT_eX]

[DOI]

CoRR, 2023

Initial state encoding via reverse quantum annealing and h-gain features.

[BibT_eX]

[DOI]

CoRR, 2023

Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence.

[BibT_eX]

[DOI]

CoRR, 2023

4-clique network minor embedding for quantum annealers.

[BibT_eX]

[DOI]

CoRR, 2023

Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems.

[BibT_eX]

[DOI]

CoRR, 2023

Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers.

[BibT_eX]

[DOI]

Proceedings of the High Performance Computing - 38th International Conference, 2023

JuliQAOA: Fast, Flexible QAOA Simulation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Sampling binary sparse coding QUBO models using a spiking neuromorphic processor.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

Quantum Volume in Practice: What Users Can Expect from NISQ Devices Dataset.

[BibT_eX]

[DOI]

Dataset, May, 2022

Inferring the Dynamics of the State Evolution During Quantum Annealing.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

Mapping state transition susceptibility in reverse annealing.

[BibT_eX]

[DOI]

CoRR, 2022

Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits.

[BibT_eX]

[DOI]

CoRR, 2022

Solving Larger Optimization Problems Using Parallel Quantum Annealing.

[BibT_eX]

[DOI]

CoRR, 2022

Quantum Volume in Practice: What Users Can Expect from NISQ Devices.

[BibT_eX]

[DOI]

CoRR, 2022

Quantum Telecloning on NISQ Computers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

2021

Decomposition Algorithms for Solving NP-hard Problems on a Quantum Annealer.

[BibT_eX]

[DOI]

J. Signal Process. Syst., 2021

Parallel Quantum Annealing.

[BibT_eX]

[DOI]

CoRR, 2021

An Enhanced Machine Learning Topic Classification Methodology for Cybersecurity.

[BibT_eX]

[DOI]

CoRR, 2021

Quantum Annealing Algorithms for Boolean Tensor Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Using Machine Learning for Quantum Annealing Accuracy Prediction.

[BibT_eX]

[DOI]

Algorithms, 2021

Sampling on NISQ Devices: "Who's the Fairest One of All?".

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

Boolean Hierarchical Tucker Networks on Quantum Annealers.

[BibT_eX]

[DOI]

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

Reducing quantum annealing biases for solving the graph partitioning problem.

[BibT_eX]

[DOI]

Proceedings of the CF '21: Computing Frontiers Conference, 2021

2020

Advanced anneal paths for improved quantum annealing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

Optimizing Embedding-Related Quantum Annealing Parameters for Reducing Hardware Bias.

[BibT_eX]

[DOI]

Proceedings of the Parallel Architectures, Algorithms and Programming, 2020

Advanced unembedding techniques for quantum annealers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Rebooting Computing, 2020

2019

Peering Into the Anneal Process of a Quantum Annealer.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

Optimizing the Spin Reversal Transform on the D-Wave 2000Q.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Rebooting Computing, 2019

Solving large minimum vertex cover problems on a quantum annealer.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2017

Solving Large Maximum Clique Problems on a Quantum Annealer.

[BibT_eX]

[DOI]