An efficient tensor transpose algorithm for multicore CPU, Intel Xeon Phi, and NVidia Tesla GPU. - Dmitry I. Lyakh (Comput. Phys. Commun., 2015)

Aces4: A Platform for Computational Chemistry Calculations with Extremely Large Block-Sparse Arrays. - Beverly A. Sanders; Jason N. Byrd; Nakul Jindal; Victor F. Lotrich; Dmitry I. Lyakh; Ajith Perera; Rodney J. Bartlett (IPDPS, 2017)

cuTT: A High-Performance Tensor Transpose Library for CUDA Compatible GPUs. - Antti-Pekka Hynninen; Dmitry I. Lyakh (CoRR, 2017)

Massively parallel and linear-scaling algorithm for second-order Møller-Plesset perturbation theory applied to the study of supramolecular wires. - Thomas Kjærgaard; Pablo Baudin; Dmytro Bykov; Janus Juul Eriksen; Patrick Ettenhuber; Kasper Kristensen; Jeff Larkin; Dmitry I. Lyakh; Filip Pawlowski; Aaron Vose; Yang Min Wang; Poul Jørgensen (Comput. Phys. Commun., 2017)

Hybrid Programming for Near-Term Quantum Computing Systems. - Alexander J. McCaskey; Eugene F. Dumitrescu; Dmitry I. Lyakh; Travis S. Humble (ICRC, 2018)

A language and hardware independent approach to quantum-classical computing. - Alexander J. McCaskey; Eugene F. Dumitrescu; Dmitry I. Lyakh; M. Chen; W. Feng; Travis S. Humble (SoftwareX, 2018)

Establishing the Quantum Supremacy Frontier with a 281 Pflop/s Simulation. - Benjamin Villalonga; Dmitry I. Lyakh; Sergio Boixo; Hartmut Neven; Travis S. Humble; Rupak Biswas; Eleanor Gilbert Rieffel; Alan K. Ho; Salvatore Mandrà (CoRR, 2019)

XACC: A System-Level Software Infrastructure for Heterogeneous Quantum-Classical Computing. - Alexander J. McCaskey; Dmitry I. Lyakh; Eugene F. Dumitrescu; Sarah S. Powers; Travis S. Humble (CoRR, 2019)

Really Embedding Domain-Specific Languages into C++. - Hal Finkel; Alexander J. McCaskey; Tobi Popoola; Dmitry I. Lyakh; Johannes Doerfert (CoRR, 2020)

Pre-exascale accelerated application development: The ORNL Summit experience. - Lixiang Luo; Tjerk P. Straatsma; Luis Enrique Aguilar-Suárez; Ria Broer; Dmytro Bykov; Eduardo F. D'Azevedo; Shirin S. Faraji; Kalyana C. Gottiparthi; Coen de Graaf; James Austin Harris; Remco W. A. Havenith; Hans Jørgen Aagard Jensen; et al. (IBM J. Res. Dev., 2020)

Composable Programming of Hybrid Workflows for Quantum Simulation. - Thien Nguyen 001; Lindsay Bassman Oftelie; Dmitry I. Lyakh; Alexander J. McCaskey; Vicente Leyton-Ortega; Raphael C. Pooser; Wael R. Elwasif; Travis S. Humble; Wibe A. de Jong (ICSA Companion, 2021)

Quantum Circuit Transformations with a Multi-Level Intermediate Representation Compiler. - Thien Nguyen 001; Dmitry I. Lyakh; Raphael C. Pooser; Travis S. Humble; Timothy Proctor; Mohan Sarovar (CoRR, 2021)

Quantum Computers for High-Performance Computing. - Travis S. Humble; Alexander J. McCaskey; Dmitry I. Lyakh; Meenambika Gowrishankar; Albert Frisch; Thomas Monz (IEEE Micro, 2021)

QuaSiMo: A composable library to program hybrid workflows for quantum simulation. - Thien Nguyen 001; Lindsay Bassman Oftelie; Phillip C. Lotshaw; Dmitry I. Lyakh; Alexander J. McCaskey; Vicente Leyton-Ortega; Raphael C. Pooser; Wael R. Elwasif; Travis S. Humble; Wibe A. de Jong (IET Quantum Commun., 2021)

ExaTN: Scalable GPU-Accelerated High-Performance Processing of General Tensor Networks at Exascale. - Dmitry I. Lyakh; Thien Nguyen 001; Daniel Claudino; Eugene F. Dumitrescu; Alexander J. McCaskey (Frontiers Appl. Math. Stat., 2022)

cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science. - Harun Bayraktar; Ali Charara 003; David Clark; Saul Cohen; Timothy B. Costa; Yao-Lung L. Fang; Yang Gao; Jack Guan; John A. Gunnels; Azzam Haidar; Andreas Hehn; Markus Höhnerbach; et al. (QCE, 2023)

Parallel quantum computing simulations via quantum accelerator platform virtualization. - Daniel Claudino; Dmitry I. Lyakh; Alexander J. McCaskey (Future Gener. Comput. Syst., 2024)