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Elijah Pelofske
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2020 – today
- 2024
- [j6]Elijah Pelofske
:
Analysis of a Programmable Quantum Annealer as a Random Number Generator. IEEE Trans. Inf. Forensics Secur. 19: 3636-3643 (2024) - [i43]Elijah Pelofske, Vincent Urias, Lorie M. Liebrock:
Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers. CoRR abs/2404.14680 (2024) - [i42]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 abs/2404.15681 (2024) - [i41]Elijah Pelofske:
An Efficient All-to-All GCD Algorithm for Low Entropy RSA Key Factorization. CoRR abs/2405.03166 (2024) - [i40]Kyle Henke, Elijah Pelofske, Garrett T. Kenyon, Georg Hahn:
Comparing Quantum Annealing and Spiking Neuromorphic Computing for Sampling Binary Sparse Coding QUBO Problems. CoRR abs/2405.20525 (2024) - [i39]Elijah Pelofske:
Analysis of a Programmable Quantum Annealer as a Random Number Generator. IACR Cryptol. ePrint Arch. 2024: 212 (2024) - [i38]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: 689 (2024) - [i37]Elijah Pelofske:
An Efficient All-to-All GCD Algorithm for Low Entropy RSA Key Factorization. IACR Cryptol. ePrint Arch. 2024: 699 (2024) - [i36]Elijah Pelofske, Vincent Urias, Lorie M. Liebrock:
Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models. IACR Cryptol. ePrint Arch. 2024: 1228 (2024) - 2023
- [j5]Georg Hahn, Elijah Pelofske, Hristo N. Djidjev:
Posiform planting: generating QUBO instances for benchmarking. Frontiers Comput. Sci. 5 (2023) - [j4]Elijah Pelofske
, Georg Hahn, Hristo N. Djidjev
:
Solving larger maximum clique problems using parallel quantum annealing. Quantum Inf. Process. 22(5): 219 (2023) - [c16]Kyle Henke
, Elijah Pelofske
, Georg Hahn
, Garrett T. Kenyon
:
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. ICONS 2023: 38:1-38:5 - [c15]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 - [c14]John K. Golden
, Andreas Bärtschi
, Dan O'Malley
, Elijah Pelofske
, Stephan J. Eidenbenz
:
JuliQAOA: Fast, Flexible QAOA Simulation. SC Workshops 2023: 1454-1459 - [c13]Elijah Pelofske, Andreas Bärtschi
, Stephan J. Eidenbenz:
Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. ISC 2023: 240-258 - [d2]Elijah Pelofske
:
Dataset for Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems. IEEE DataPort, 2023 - [i35]Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz:
Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. CoRR abs/2301.00520 (2023) - [i34]Elijah Pelofske:
Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems. CoRR abs/2301.03009 (2023) - [i33]Elijah Pelofske:
4-clique network minor embedding for quantum annealers. CoRR abs/2301.08807 (2023) - [i32]Elijah Pelofske, Lorie M. Liebrock, Vincent Urias:
Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence. CoRR abs/2301.12013 (2023) - [i31]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Initial state encoding via reverse quantum annealing and h-gain features. CoRR abs/2303.13748 (2023) - [i30]Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon:
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. CoRR abs/2306.01940 (2023) - [i29]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) - [i28]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 abs/2306.15863 (2023) - [i27]Elijah Pelofske:
Analysis of a Programmable Quantum Annealer as a Random Number Generator. CoRR abs/2307.02573 (2023) - [i26]Georg Hahn, Elijah Pelofske, Hristo N. Djidjev:
Posiform Planting: Generating QUBO Instances for Benchmarking. CoRR abs/2308.05859 (2023) - [i25]Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Bryan Garcia, Boris Kiefer:
Probing Quantum Telecloning on Superconducting Quantum Processors. CoRR abs/2308.15579 (2023) - [i24]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 abs/2312.00733 (2023) - [i23]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) - 2022
- [j3]Elijah Pelofske
, Georg Hahn
, Hristo N. Djidjev
:
Inferring the Dynamics of the State Evolution During Quantum Annealing. IEEE Trans. Parallel Distributed Syst. 33(2): 310-321 (2022) - [c12]Elijah Pelofske, Andreas Bärtschi
, Stephan J. Eidenbenz:
Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. ICRC 2022: 51-56 - [c11]Elijah Pelofske, Andreas Bärtschi
, Bryan Garcia, Boris Kiefer, Stephan J. Eidenbenz:
Quantum Telecloning on NISQ Computers. QCE 2022: 605-616 - [d1]Elijah Pelofske
, Andreas Bärtschi
, Stephan J. Eidenbenz
:
Quantum Volume in Practice: What Users Can Expect from NISQ Devices Dataset. IEEE DataPort, 2022 - [i22]Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz:
Quantum Volume in Practice: What Users Can Expect from NISQ Devices. CoRR abs/2203.03816 (2022) - [i21]Elijah Pelofske, Andreas Bärtschi, Bryan Garcia, Boris Kiefer, Stephan J. Eidenbenz:
Quantum Telecloning on NISQ Computers. CoRR abs/2205.00125 (2022) - [i20]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Solving Larger Optimization Problems Using Parallel Quantum Annealing. CoRR abs/2205.12165 (2022) - [i19]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits. CoRR abs/2209.05648 (2022) - [i18]Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz:
Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. CoRR abs/2210.10164 (2022) - [i17]Elijah Pelofske:
Mapping state transition susceptibility in reverse annealing. CoRR abs/2210.16513 (2022) - 2021
- [j2]Aaron Barbosa, Elijah Pelofske
, Georg Hahn
, Hristo N. Djidjev
:
Using Machine Learning for Quantum Annealing Accuracy Prediction. Algorithms 14(6): 187 (2021) - [j1]Elijah Pelofske
, Georg Hahn
, Hristo N. Djidjev
:
Decomposition Algorithms for Solving NP-hard Problems on a Quantum Annealer. J. Signal Process. Syst. 93(4): 405-420 (2021) - [c10]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Reducing quantum annealing biases for solving the graph partitioning problem. CF 2021: 133-139 - [c9]Elijah Pelofske
, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev
, Boian S. Alexandrov:
Boolean Hierarchical Tucker Networks on Quantum Annealers. LSSC 2021: 351-358 - [c8]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 - [i16]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Reducing quantum annealing biases for solving the graph partitioning problem. CoRR abs/2103.04963 (2021) - [i15]Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov:
Boolean Hierarchical Tucker Networks on Quantum Annealers. CoRR abs/2103.07399 (2021) - [i14]Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Using machine learning for quantum annealing accuracy prediction. CoRR abs/2106.00065 (2021) - [i13]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) - [i12]Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov:
Quantum Annealing Algorithms for Boolean Tensor Networks. CoRR abs/2107.13659 (2021) - [i11]Elijah Pelofske, Lorie M. Liebrock, Vincent Urias:
An Enhanced Machine Learning Topic Classification Methodology for Cybersecurity. CoRR abs/2109.02473 (2021) - [i10]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Parallel Quantum Annealing. CoRR abs/2111.05995 (2021) - 2020
- [c7]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
:
Advanced unembedding techniques for quantum annealers. ICRC 2020: 34-41 - [c6]Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Optimizing Embedding-Related Quantum Annealing Parameters for Reducing Hardware Bias. PAAP 2020: 162-173 - [c5]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Advanced anneal paths for improved quantum annealing. QCE 2020: 256-266 - [i9]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Advanced anneal paths for improved quantum annealing. CoRR abs/2009.05008 (2020) - [i8]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Advanced unembedding techniques for quantum annealers. CoRR abs/2009.05028 (2020) - [i7]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Inferring the Dynamics of the State Evolution During Quantum Annealing. CoRR abs/2009.06387 (2020) - [i6]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Decomposition algorithms for solving NP-hard problems on a quantum annealer. CoRR abs/2009.06726 (2020) - [i5]Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Optimizing embedding-related quantum annealing parameters for reducing hardware bias. CoRR abs/2011.00719 (2020)
2010 – 2019
- 2019
- [c4]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
:
Solving large minimum vertex cover problems on a quantum annealer. CF 2019: 76-84 - [c3]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Optimizing the Spin Reversal Transform on the D-Wave 2000Q. ICRC 2019: 63-70 - [c2]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Peering Into the Anneal Process of a Quantum Annealer. PDCAT 2019: 184-189 - [i4]Elijah Pelofske, Georg Hahn
, Hristo N. Djidjev:
Solving large Maximum Clique problems on a quantum annealer. CoRR abs/1901.07657 (2019) - [i3]Elijah Pelofske, Georg Hahn
, Hristo N. Djidjev:
Solving large Minimum Vertex Cover problems on a quantum annealer. CoRR abs/1904.00051 (2019) - [i2]Elijah Pelofske, Georg Hahn
, Hristo N. Djidjev:
Optimizing the spin reversal transform on the D-Wave 2000Q. CoRR abs/1906.10955 (2019) - [i1]Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Peering into the Anneal Process of a Quantum Annealer. CoRR abs/1908.02691 (2019) - 2017
- [c1]Elijah Pelofske, Georg Hahn
, Hristo N. Djidjev
:
Solving Large Maximum Clique Problems on a Quantum Annealer. QTOP@NetSys 2017: 123-135
Coauthor Index
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