Solving Large Maximum Clique Problems on a Quantum Annealer. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (QTOP@NetSys, 2017)

Solving large minimum vertex cover problems on a quantum annealer. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (CF, 2019)

Optimizing the Spin Reversal Transform on the D-Wave 2000Q. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (ICRC, 2019)

Peering Into the Anneal Process of a Quantum Annealer. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (PDCAT, 2019)

Advanced unembedding techniques for quantum annealers. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (ICRC, 2020)

Optimizing Embedding-Related Quantum Annealing Parameters for Reducing Hardware Bias. - Aaron Barbosa; Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (PAAP, 2020)

Advanced anneal paths for improved quantum annealing. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (QCE, 2020)

Reducing quantum annealing biases for solving the graph partitioning problem. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (CF, 2021)

Boolean Hierarchical Tucker Networks on Quantum Annealers. - Elijah Pelofske; Georg Hahn; Daniel O'Malley; Hristo N. Djidjev; Boian S. Alexandrov (LSSC, 2021)

Sampling on NISQ Devices: "Who's the Fairest One of All?". - Elijah Pelofske; John K. Golden; Andreas Bärtschi; Daniel O'Malley; Stephan J. Eidenbenz (QCE, 2021)

Using Machine Learning for Quantum Annealing Accuracy Prediction. - Aaron Barbosa; Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (Algorithms, 2021)

Quantum Annealing Algorithms for Boolean Tensor Networks. - Elijah Pelofske; Georg Hahn; Daniel O'Malley; Hristo N. Djidjev; Boian S. Alexandrov (CoRR, 2021)

An Enhanced Machine Learning Topic Classification Methodology for Cybersecurity. - Elijah Pelofske; Lorie M. Liebrock; Vincent Urias (CoRR, 2021)

Parallel Quantum Annealing. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (CoRR, 2021)

Decomposition Algorithms for Solving NP-hard Problems on a Quantum Annealer. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (J. Signal Process. Syst., 2021)

Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. - Elijah Pelofske; Andreas Bärtschi; Stephan J. Eidenbenz (ICRC, 2022)

Quantum Telecloning on NISQ Computers. - Elijah Pelofske; Andreas Bärtschi; Bryan Garcia; Boris Kiefer; Stephan J. Eidenbenz (QCE, 2022)

Quantum Volume in Practice: What Users Can Expect from NISQ Devices. - Elijah Pelofske; Andreas Bärtschi; Stephan J. Eidenbenz (CoRR, 2022)

Solving Larger Optimization Problems Using Parallel Quantum Annealing. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (CoRR, 2022)

Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (CoRR, 2022)

Mapping state transition susceptibility in reverse annealing. - Elijah Pelofske (CoRR, 2022)

Inferring the Dynamics of the State Evolution During Quantum Annealing. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (IEEE Trans. Parallel Distributed Syst., 2022)

Quantum Volume in Practice: What Users Can Expect from NISQ Devices Dataset. - Elijah Pelofske; Andreas Bärtschi; Stephan J. Eidenbenz (IEEE DataPort, 2022)

Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. - Kyle Henke; Elijah Pelofske; Georg Hahn; Garrett T. Kenyon (ICONS, 2023)

High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices. - Elijah Pelofske; Andreas Bärtschi; John K. Golden; Stephan J. Eidenbenz (QCE, 2023)

JuliQAOA: Fast, Flexible QAOA Simulation. - John K. Golden; Andreas Bärtschi; Dan O'Malley; Elijah Pelofske; Stephan J. Eidenbenz (SC Workshops, 2023)

Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. - Elijah Pelofske; Andreas Bärtschi; Stephan J. Eidenbenz (ISC, 2023)

Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems. - Elijah Pelofske (CoRR, 2023)

4-clique network minor embedding for quantum annealers. - Elijah Pelofske (CoRR, 2023)

Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence. - Elijah Pelofske; Lorie M. Liebrock; Vincent Urias (CoRR, 2023)

Initial state encoding via reverse quantum annealing and h-gain features. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (CoRR, 2023)

Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation. - Elijah Pelofske; Vincent Russo; Ryan LaRose; Andrea Mari; Dan Strano; Andreas Bärtschi; Stephan J. Eidenbenz; William J. Zeng (CoRR, 2023)

Probing Quantum Telecloning on Superconducting Quantum Processors. - Elijah Pelofske; Andreas Bärtschi; Stephan J. Eidenbenz; Bryan Garcia; Boris Kiefer (CoRR, 2023)

Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs. - Elijah Pelofske; Andreas Bärtschi; Lukasz Cincio; John K. Golden; Stephan J. Eidenbenz (CoRR, 2023)

Posiform planting: generating QUBO instances for benchmarking. - Georg Hahn; Elijah Pelofske; Hristo N. Djidjev (Frontiers Comput. Sci., 2023)

Dataset for Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems. - Elijah Pelofske (IEEE DataPort, 2023)

Solving larger maximum clique problems using parallel quantum annealing. - Elijah Pelofske; Georg Hahn; Hristo N. Djidjev (Quantum Inf. Process., 2023)

Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers. - Elijah Pelofske; Vincent Urias; Lorie M. Liebrock (CoRR, 2024)

Comparing Quantum Annealing and Spiking Neuromorphic Computing for Sampling Binary Sparse Coding QUBO Problems. - Kyle Henke; Elijah Pelofske; Garrett T. Kenyon; Georg Hahn (CoRR, 2024)

An Efficient All-to-All GCD Algorithm for Low Entropy RSA Key Factorization. - Elijah Pelofske (IACR Cryptol. ePrint Arch., 2024)

Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models. - Elijah Pelofske; Vincent Urias; Lorie M. Liebrock (IACR Cryptol. ePrint Arch., 2024)

Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models. - Elijah Pelofske; Vincent Urias; Lorie M. Liebrock (IACR Cryptol. ePrint Arch., 2024)

Analysis of a Programmable Quantum Annealer as a Random Number Generator. - Elijah Pelofske (IEEE Trans. Inf. Forensics Secur., 2024)

Provable bounds for noise-free expectation values computed from noisy samples. - Samantha V. Barron; Daniel J. Egger; Elijah Pelofske; Andreas Bärtschi; Stephan J. Eidenbenz; Matthis Lehmkuehler; Stefan Woerner (Nat. Comput. Sci., 2024)

Digital Zero-Noise Extrapolation with Quantum Circuit Unoptimization. - Elijah Pelofske; Vincent Russo (CoRR, 2025)

Erasing Classical Memory with Quantum Fluctuations: Shannon Information Entropy of Reverse Quantum Annealing. - Elijah Pelofske; Cristiano Nisoli (CoRR, 2025)

Depth One Quantum Alternating Operator Ansatz as an Approximate Gibbs Distribution Sampler. - Elijah Pelofske (CoRR, 2025)