Elijah Pelofske

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 65

Top Topics

Machine Learning

Open Source Intelligence

Optimization Problems

Quantum Computation

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Elijah Pelofske
An Efficient All-to-All GCD Algorithm for Low Entropy RSA Key Factorization. CoRR (2024)
Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models. IACR Cryptol. ePrint Arch. 2024 (2024)
Elijah Pelofske
An Efficient All-to-All GCD Algorithm for Low Entropy RSA Key Factorization. IACR Cryptol. ePrint Arch. 2024 (2024)
Kyle Henke, Elijah Pelofske, Garrett T. Kenyon, Georg Hahn
Comparing Quantum Annealing and Spiking Neuromorphic Computing for Sampling Binary Sparse Coding QUBO Problems. CoRR (2024)
Elijah Pelofske
Analysis of a Programmable Quantum Annealer as a Random Number Generator. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Elijah Pelofske
Analysis of a Programmable Quantum Annealer as a Random Number Generator. IACR Cryptol. ePrint Arch. 2024 (2024)
Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers. CoRR (2024)
Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models. IACR Cryptol. ePrint Arch. 2024 (2024)
Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models. CoRR (2024)
John K. Golden, Andreas Bärtschi, Dan O'Malley, Elijah Pelofske, Stephan J. Eidenbenz
JuliQAOA: Fast, Flexible QAOA Simulation. SC Workshops (2023)
Elijah Pelofske
Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems. CoRR (2023)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. ISC (2023)
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 (2023)
Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. CoRR (2023)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Bryan Garcia, Boris Kiefer
Probing Quantum Telecloning on Superconducting Quantum Processors. CoRR (2023)
Elijah Pelofske, Andreas Bärtschi, John K. Golden, Stephan J. Eidenbenz
High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices. CoRR (2023)
Elijah Pelofske
Analysis of a Programmable Quantum Annealer as a Random Number Generator. CoRR (2023)
Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. ICONS (2023)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Initial state encoding via reverse quantum annealing and h-gain features. CoRR (2023)
Elijah Pelofske, Lorie M. Liebrock, Vincent Urias
Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence. CoRR (2023)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving larger maximum clique problems using parallel quantum annealing. Quantum Inf. Process. 22 (5) (2023)
Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
Posiform Planting: Generating QUBO Instances for Benchmarking. CoRR (2023)
Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
Posiform planting: generating QUBO instances for benchmarking. Frontiers Comput. Sci. 5 (2023)
Elijah Pelofske, Andreas Bärtschi, John K. Golden, Stephan J. Eidenbenz
High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices. QCE (2023)
Elijah Pelofske, Vincent Russo, Ryan LaRose, Andrea Mari, Dan Strano, Andreas Bärtschi, Stephan J. Eidenbenz, William J. Zeng
Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation. CoRR (2023)
Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Matthis Lehmkuehler, Stefan Woerner
Provable bounds for noise-free expectation values computed from noisy samples. CoRR (2023)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. CoRR (2023)
Elijah Pelofske
4-clique network minor embedding for quantum annealers. CoRR (2023)
Elijah Pelofske
Mapping state transition susceptibility in reverse annealing. CoRR (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving Larger Optimization Problems Using Parallel Quantum Annealing. CoRR (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits. CoRR (2022)
Elijah Pelofske, Andreas Bärtschi, Bryan Garcia, Boris Kiefer, Stephan J. Eidenbenz
Quantum Telecloning on NISQ Computers. CoRR (2022)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. ICRC (2022)
Elijah Pelofske, Andreas Bärtschi, Bryan Garcia, Boris Kiefer, Stephan J. Eidenbenz
Quantum Telecloning on NISQ Computers. QCE (2022)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
Quantum Volume in Practice: What Users Can Expect from NISQ Devices. CoRR (2022)
Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. CoRR (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Inferring the Dynamics of the State Evolution During Quantum Annealing. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Decomposition Algorithms for Solving NP-hard Problems on a Quantum Annealer. J. Signal Process. Syst. 93 (4) (2021)
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)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Using Machine Learning for Quantum Annealing Accuracy Prediction. Algorithms 14 (6) (2021)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Using machine learning for quantum annealing accuracy prediction. CoRR (2021)
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 (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Boolean Hierarchical Tucker Networks on Quantum Annealers. LSSC (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Parallel Quantum Annealing. CoRR (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Reducing quantum annealing biases for solving the graph partitioning problem. CoRR (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Reducing quantum annealing biases for solving the graph partitioning problem. CF (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Quantum Annealing Algorithms for Boolean Tensor Networks. CoRR (2021)
Elijah Pelofske, Lorie M. Liebrock, Vincent Urias
An Enhanced Machine Learning Topic Classification Methodology for Cybersecurity. CoRR (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Boolean Hierarchical Tucker Networks on Quantum Annealers. CoRR (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced unembedding techniques for quantum annealers. CoRR (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Decomposition algorithms for solving NP-hard problems on a quantum annealer. CoRR (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced anneal paths for improved quantum annealing. CoRR (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Inferring the Dynamics of the State Evolution During Quantum Annealing. CoRR (2020)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing Embedding-Related Quantum Annealing Parameters for Reducing Hardware Bias. PAAP (2020)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing embedding-related quantum annealing parameters for reducing hardware bias. CoRR (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced anneal paths for improved quantum annealing. QCE (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced unembedding techniques for quantum annealers. ICRC (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing the spin reversal transform on the D-Wave 2000Q. CoRR (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Peering Into the Anneal Process of a Quantum Annealer. PDCAT (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing the Spin Reversal Transform on the D-Wave 2000Q. ICRC (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving large Maximum Clique problems on a quantum annealer. CoRR (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving large Minimum Vertex Cover problems on a quantum annealer. CoRR (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving large minimum vertex cover problems on a quantum annealer. CF (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Peering into the Anneal Process of a Quantum Annealer. CoRR (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving Large Maximum Clique Problems on a Quantum Annealer. QTOP@NetSys (2017)