Graph Partitioning Methods for Fast Parallel Quantum Molecular Dynamics. - Hristo N. Djidjev; Georg Hahn; Susan M. Mniszewski; Christian F. A. Negre; Anders M. N. Niklasson; Vivek B. Sardeshmukh (CSC, 2016)

Finding Maximum Cliques on a Quantum Annealer. - Guillaume Chapuis; Hristo N. Djidjev; Georg Hahn; Guillaume Rizk (Conf. Computing Frontiers, 2017)

Reducing Binary Quadratic Forms for More Scalable Quantum Annealing. - Georg Hahn; Hristo N. Djidjev (ICRC, 2017)

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

QuickMMCTest: quick multiple Monte Carlo testing. - Axel Gandy; Georg Hahn (Stat. Comput., 2017)

Task-based Parallel Computation of the Density Matrix in Quantum-based Molecular Dynamics using Graph Partitioning. - Purnima Ghale; Matthew P. Kroonblawd; Sue Mniszewski; Christian F. A. Negre; Robert Pavel; Sergio Pino; Vivek Sardeshmukh; Guangjie Shi; Georg Hahn (SIAM J. Sci. Comput., 2017)

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

Local and Global Stratification Analysis in Whole Genome Sequencing (WGS) Studies Using LocStra. - Georg Hahn; Sharon Marie Lutz; Julian Hecker; Dmitry Prokopenko; Christoph Lange 003 (ICCABS, 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)

Using Graph Partitioning for Scalable Distributed Quantum Molecular Dynamics. - Hristo N. Djidjev; Georg Hahn; Susan M. Mniszewski; Christian F. A. Negre; Anders M. N. Niklasson (Algorithms, 2019)

Finding Maximum Cliques on the D-Wave Quantum Annealer. - Guillaume Chapuis; Hristo N. Djidjev; Georg Hahn; Guillaume Rizk (J. Signal Process. Syst., 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)

A simple method for implementing Monte Carlo tests. - Dong Ding; Axel Gandy; Georg Hahn (Comput. Stat., 2020)

Optimal allocation of Monte Carlo simulations to multiple hypothesis tests. - Georg Hahn (Stat. Comput., 2020)

BayesProject: Fast computation of a projection direction for multivariate changepoint detection. - Georg Hahn; Paul Fearnhead; Idris A. Eckley (Stat. Comput., 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)

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)

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

A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD). - Georg Hahn; Sharon Marie Lutz; Nilanjana Laha; Michael H. Cho; Edwin K. Silverman; Christoph Lange 003 (Stat. Comput., 2021)

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

Improving the Security of the IEEE 802.15.6 Standard for Medical BANs. - Muhammad Ali Siddiqi; Georg Hahn; Said Hamdioui; Wouter A. Serdijn; Christos Strydis (IEEE Access, 2022)

Assessing the Security of the IEEE 802.15.6 Standard for Medical BANs. - Georg Hahn; Muhammad Ali Siddiqi; Said Hamdioui; Wouter A. Serdijn; Christos Strydis (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)

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

Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest. - Georg Hahn; Sanghun Lee; Dmitry Prokopenko; Jonathan Abraham; Tanya Novak; Julian Hecker; Michael H. Cho; Surender Khurana; Lindsey R. Baden; Adrienne G. Randolph; Scott T. Weiss; Christoph Lange 003 (BMC Bioinform., 2022)

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

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

Penalized Principal Component Analysis using Nesterov Smoothing. - Rebecca M. Hurwitz; Georg Hahn (CoRR, 2023)

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

A comparison between similarity matrices for principal component analysis to assess population stratification in sequenced genetic data sets. - Sanghun Lee; Georg Hahn; Julian Hecker; Sharon Marie Lutz; Kristina Mullin; Winston Hide; Lars Bertram; Dawn L. DeMeo; Rudolph E. Tanzi; Christoph Lange 003; Dmitry Prokopenko (Briefings Bioinform., 2023)

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

Prediction of disease-free survival for precision medicine using cooperative learning on multi-omic data. - Georg Hahn; Dmitry Prokopenko; Julian Hecker; Sharon Marie Lutz; Kristina Mullin; Leinal Sejour; Winston Hide; Ioannis S. Vlachos; Stacia Desantis; Rudolph E. Tanzi; Christoph Lange 003 (Briefings Bioinform., 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 heuristic for approximate maximum flow computations. - Jingyun Qian; Georg Hahn (CoRR, 2024)

Fast computation of the eigensystem of genomic similarity matrices. - Georg Hahn; Sharon Marie Lutz; Julian Hecker; Dmitry Prokopenko; Michael H. Cho; Edwin K. Silverman; Scott T. Weiss; Christoph Lange 003 (BMC Bioinform., 2024)

Penalized principal component analysis using smoothing. - Rebecca M. Hurwitz; Georg Hahn (Stat. Comput., 2025)

A chart review process aided by natural language processing and multi-wave adaptive sampling to expedite validation of code-based algorithms for large database studies. - Shirley V. Wang; Georg Hahn; Sushama Kattinakere Sreedhara; Mufaddal Mahesri; Haritha S. Pillai; Rajendra Aldis; Joyce Lii; Sarah K. Dutcher; Rhoda Eniafe; Jamal T. Jones; Keewan Kim; Jiwei He; et al. (CoRR, 2025)