Tristan Zaborniak
Tristan Zaborniak
Ph.D. Student, Computer Science, University of Victoria
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Benchmarking Hamiltonian noise in the D-Wave quantum annealer
T Zaborniak, R de Sousa
IEEE Transactions on Quantum Engineering 2, 1-6, 2021
Transcriptomics investigation of thyroid hormone disruption in the olfactory system of the Rana [Lithobates] catesbeiana tadpole
KW Jackman, N Veldhoen, RC Miliano, BJ Robert, L Li, A Khojasteh, ...
Aquatic toxicology 202, 46-56, 2018
Behavioral and molecular analyses of olfaction-mediated avoidance responses of Rana (Lithobates) catesbeiana tadpoles: Sensitivity to thyroid hormones, estrogen, and treated…
JL Heerema, KW Jackman, RC Miliano, L Li, TSM Zaborniak, N Veldhoen, ...
Hormones and Behavior 101, 85-93, 2018
Negative differential resistance and hysteresis in self‐assembled nanoscale networks with tunable molecule‐to‐nanoparticle ratios
A Venkataraman, EV Amadi, TSM Zaborniak, P Zhang, C Papadopoulos
physica status solidi (b) 257 (6), 2000019, 2020
A QUBO model of the RNA folding problem optimized by variational hybrid quantum annealing
T Zaborniak, J Giraldo, H Mller, H Jabbari, U Stege
2022 IEEE International Conference on Quantum Computing and Engineering (QCE…, 2022
Nanoelectronic circuit elements based on nanoscale metal–molecular networks
EV Amadi, A Venkataraman, T Zaborniak, C Papadopoulos
Journal of Computational Electronics, 1-15, 2021
In situ noise characterization of the d-wave quantum annealer
T Zaborniak, R de Sousa
2020 IEEE International Conference on Quantum Computing and Engineering (QCE…, 2020
Multibody molecular docking on a quantum annealer
M Pandey, T Zaborniak, H Melo, A Galda, VK Mulligan
arXiv preprint arXiv:2210.11401, 2022
Development of a prototype modeling system to estimate the GHG mitigation potential of forest and wildfire management
C Smyth, SH Xie, T Zaborniak, M Fellows, C Phillips, WA Kurz
MethodsX 10, 101985, 2023
Discrete quadratic model QUBO solution landscapes
T Zaborniak, U Stege
arXiv preprint arXiv:2305.00568, 2023
Macromolecular modelling algorithms harnessing quantum computation
V Mulligan, M Pandey, T Zaborniak, A Galda, H Melo
APS March Meeting Abstracts 2023, Y72. 014, 2023
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