Elijah Pelofske

73 papers C 2Misc 4Journal 57Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Numerical Experiments with Parameter Setting of Trotterized Quantum Phase Estimation for Quantum Hamiltonian Ground State Computation. CoRR Elijah Pelofske, Stephan J. Eidenbenz
2025	J	`jnl`	Depth One Quantum Alternating Operator Ansatz as an Approximate Gibbs Distribution Sampler. CoRR Elijah Pelofske
2025	J	`jnl`	Digital Zero-Noise Extrapolation with Quantum Circuit Unoptimization. CoRR Elijah Pelofske, Vincent Russo
2025	J	`jnl`	Erasing Classical Memory with Quantum Fluctuations: Shannon Information Entropy of Reverse Quantum Annealing. CoRR Elijah Pelofske, Cristiano Nisoli
2025	J	`jnl`	Quantum approximate multi-objective optimization. Nat. Comput. Sci. Ayse Kotil, Elijah Pelofske, Stephanie Riedmüller, Daniel J. Egger, Stephan J. Eidenbenz, Thorsten Koch, Stefan Woerner
2024	J	`jnl`	An Efficient All-to-All GCD Algorithm for Low Entropy RSA Key Factorization. CoRR Elijah Pelofske
2024	J	`jnl`	An Efficient All-to-All GCD Algorithm for Low Entropy RSA Key Factorization. IACR Cryptol. ePrint Arch. Elijah Pelofske
2024	J	`jnl`	Analysis of a Programmable Quantum Annealer as a Random Number Generator. IACR Cryptol. ePrint Arch. Elijah Pelofske
2024	J	`jnl`	Analysis of a Programmable Quantum Annealer as a Random Number Generator. IEEE Trans. Inf. Forensics Secur. Elijah Pelofske
2024	J	`jnl`	Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models. CoRR Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
2024	J	`jnl`	Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models. IACR Cryptol. ePrint Arch. Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
2024	J	`jnl`	Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers. CoRR Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
2024	J	`jnl`	Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models. CoRR Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
2024	J	`jnl`	Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models. IACR Cryptol. ePrint Arch. Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
2024	J	`jnl`	Comparing Quantum Annealing and Spiking Neuromorphic Computing for Sampling Binary Sparse Coding QUBO Problems. CoRR Kyle Henke, Elijah Pelofske, Garrett T. Kenyon, Georg Hahn
2024	J	`jnl`	Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation. ACM Trans. Quantum Comput. Elijah Pelofske, Vincent Russo, Ryan LaRose, Andrea Mari, Dan Strano, Andreas Bärtschi, Stephan J. Eidenbenz, William J. Zeng
2024	J	`jnl`	Provable bounds for noise-free expectation values computed from noisy samples. Nat. Comput. Sci. Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Matthis Lehmkuehler, Stefan Woerner
2023	J	`jnl`	4-clique network minor embedding for quantum annealers. CoRR Elijah Pelofske
2023	J	`jnl`	Analysis of a Programmable Quantum Annealer as a Random Number Generator. CoRR Elijah Pelofske
2023	J	`jnl`	Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems. CoRR Elijah Pelofske
2023	J	`jnl`	Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence. CoRR Elijah Pelofske, Lorie M. Liebrock, Vincent Urias
2023	Misc	`conf`	High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices. QCE Elijah Pelofske, Andreas Bärtschi, John Golden, Stephan J. Eidenbenz
2023	J	`jnl`	High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices. CoRR Elijah Pelofske, Andreas Bärtschi, John Golden, Stephan J. Eidenbenz
2023	J	`jnl`	Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation. CoRR Elijah Pelofske, Vincent Russo, Ryan LaRose, Andrea Mari, Dan Strano, Andreas Bärtschi, Stephan J. Eidenbenz, William J. Zeng
2023	J	`jnl`	Initial state encoding via reverse quantum annealing and h-gain features. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2023	—	`conf`	JuliQAOA: Fast, Flexible QAOA Simulation. SC Workshops John Golden, Andreas Bärtschi, Dan O'Malley, Elijah Pelofske, Stephan J. Eidenbenz
2023	J	`jnl`	Posiform Planting: Generating QUBO Instances for Benchmarking. CoRR Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
2023	J	`jnl`	Posiform planting: generating QUBO instances for benchmarking. Frontiers Comput. Sci. Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
2023	J	`jnl`	Probing Quantum Telecloning on Superconducting Quantum Processors. CoRR Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Bryan Garcia, Boris Kiefer
2023	J	`jnl`	Provable bounds for noise-free expectation values computed from noisy samples. CoRR Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Matthis Lehmkuehler, Stefan Woerner
2023	C	`conf`	Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. ISC Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
2023	J	`jnl`	Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. CoRR Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
2023	—	`conf`	Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. ICONS Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
2023	J	`jnl`	Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. CoRR Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
2023	J	`jnl`	Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs. CoRR Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio, John Golden, Stephan J. Eidenbenz
2023	J	`jnl`	Solving larger maximum clique problems using parallel quantum annealing. Quantum Inf. Process. Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2022	J	`jnl`	Inferring the Dynamics of the State Evolution During Quantum Annealing. IEEE Trans. Parallel Distributed Syst. Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2022	J	`jnl`	Mapping state transition susceptibility in reverse annealing. CoRR Elijah Pelofske
2022	J	`jnl`	Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2022	—	`conf`	Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. ICRC Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
2022	J	`jnl`	Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. CoRR Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
2022	Misc	`conf`	Quantum Telecloning on NISQ Computers. QCE Elijah Pelofske, Andreas Bärtschi, Bryan Garcia, Boris Kiefer, Stephan J. Eidenbenz
2022	J	`jnl`	Quantum Telecloning on NISQ Computers. CoRR Elijah Pelofske, Andreas Bärtschi, Bryan Garcia, Boris Kiefer, Stephan J. Eidenbenz
2022	J	`jnl`	Quantum Volume in Practice: What Users Can Expect from NISQ Devices. CoRR Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz
2022	J	`jnl`	Solving Larger Optimization Problems Using Parallel Quantum Annealing. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2021	J	`jnl`	An Enhanced Machine Learning Topic Classification Methodology for Cybersecurity. CoRR Elijah Pelofske, Lorie M. Liebrock, Vincent Urias
2021	—	`conf`	Boolean Hierarchical Tucker Networks on Quantum Annealers. LSSC Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
2021	J	`jnl`	Boolean Hierarchical Tucker Networks on Quantum Annealers. CoRR Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
2021	J	`jnl`	Decomposition Algorithms for Solving NP-hard Problems on a Quantum Annealer. J. Signal Process. Syst. Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2021	J	`jnl`	Parallel Quantum Annealing. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2021	J	`jnl`	Quantum Annealing Algorithms for Boolean Tensor Networks. CoRR Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
2021	—	`conf`	Reducing quantum annealing biases for solving the graph partitioning problem. CF Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2021	J	`jnl`	Reducing quantum annealing biases for solving the graph partitioning problem. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2021	Misc	`conf`	Sampling on NISQ Devices: "Who's the Fairest One of All?". QCE Elijah Pelofske, John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2021	J	`jnl`	Sampling on NISQ Devices: "Who's the Fairest One of All?". CoRR Elijah Pelofske, John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2021	J	`jnl`	Using Machine Learning for Quantum Annealing Accuracy Prediction. Algorithms Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2021	J	`jnl`	Using machine learning for quantum annealing accuracy prediction. CoRR Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	Misc	`conf`	Advanced anneal paths for improved quantum annealing. QCE Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	Advanced anneal paths for improved quantum annealing. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	—	`conf`	Advanced unembedding techniques for quantum annealers. ICRC Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	Advanced unembedding techniques for quantum annealers. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	Decomposition algorithms for solving NP-hard problems on a quantum annealer. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	Inferring the Dynamics of the State Evolution During Quantum Annealing. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	—	`conf`	Optimizing Embedding-Related Quantum Annealing Parameters for Reducing Hardware Bias. PAAP Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	Optimizing embedding-related quantum annealing parameters for reducing hardware bias. CoRR Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	—	`conf`	Optimizing the Spin Reversal Transform on the D-Wave 2000Q. ICRC Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	J	`jnl`	Optimizing the spin reversal transform on the D-Wave 2000Q. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	C	`conf`	Peering Into the Anneal Process of a Quantum Annealer. PDCAT Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	J	`jnl`	Peering into the Anneal Process of a Quantum Annealer. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	J	`jnl`	Solving large Maximum Clique problems on a quantum annealer. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	J	`jnl`	Solving large Minimum Vertex Cover problems on a quantum annealer. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	—	`conf`	Solving large minimum vertex cover problems on a quantum annealer. CF Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2017	—	`conf`	Solving Large Maximum Clique Problems on a Quantum Annealer. QTOP@NetSys Elijah Pelofske, Georg Hahn, Hristo N. Djidjev