Zobrazeno 1 - 10
of 3 398
pro vyhledávání: '"Grimsley A"'
The prediction of electronic structure for strongly correlated molecules represents a promising application for near-term quantum computers. Significant attention has been paid to ground state wavefunctions, but excited states of molecules are relati
Externí odkaz:
http://arxiv.org/abs/2409.11210
Autor:
Sun Joo (Grace) Ahn, Michael D. Schmidt, Allan D. Tate, Stephen Rathbun, James J. Annesi, Lindsay Hahn, Eric Novotny, Christian Okitondo, Rebecca N. Grimsley, Kyle Johnsen
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract 6–11-year-old children provide a critical window for physical activity (PA) interventions. The Virtual Fitness Buddy ecosystem is a precision health PA intervention for children integrating mixed reality technology to connect people and de
Externí odkaz:
https://doaj.org/article/0b72daa3cc76489b86277e809972af4e
Autor:
Johnathan V. Torikashvili, Meagan D. Read, Haroon M. Janjua, Rajavi Parikh, Paul C. Kuo, Emily A. Grimsley
Publikováno v:
Surgery Open Science, Vol 18, Iss , Pp 129-133 (2024)
Background: The COVID-19 pandemic necessitated changes in processes of care, which significantly impacted surgical care. This study evaluated the impact of these changes on patient outcomes and costs for non-elective major lower extremity amputations
Externí odkaz:
https://doaj.org/article/6547a973cafe4d9d94bb50ba11a27f38
The recent quantum information boom has effected a resurgence of interest in unitary coupled cluster (UCC) theory. Our group's interest in local energy landscapes of unitary ans\"atze prompted us to investigate the classical approach of truncating th
Externí odkaz:
http://arxiv.org/abs/2207.04105
Autor:
Bertels, Luke W., Grimsley, Harper R., Economou, Sophia E., Barnes, Edwin, Mayhall, Nicholas J.
Because quantum simulation of molecular systems is expected to provide the strongest advantage over classical computing methods for systems exhibiting strong electron correlation, it is critical that the performance of VQEs be assessed for strongly c
Externí odkaz:
http://arxiv.org/abs/2207.03063
Autor:
Asthana, Ayush, Kumar, Ashutosh, Abraham, Vibin, Grimsley, Harper, Zhang, Yu, Cincio, Lukasz, Tretiak, Sergei, Dub, Pavel A., Economou, Sophia E., Barnes, Edwin, Mayhall, Nicholas J.
Near-term quantum computers are expected to facilitate material and chemical research through accurate molecular simulations. Several developments have already shown that accurate ground-state energies for small molecules can be evaluated on present-
Externí odkaz:
http://arxiv.org/abs/2206.10502
Autor:
Nadayca Mateussi, PhD, Michael P. Rogers, MD, Emily A. Grimsley, MD, Meagan Read, MD, Rajavi Parikh, DO, Ricardo Pietrobon, MD, PhD, Paul C. Kuo, MD
Publikováno v:
Annals of Surgery Open, Vol 5, Iss 2, p e423 (2024)
Objective:. This review introduces interpretable predictive machine learning approaches, natural language processing, image recognition, and reinforcement learning methodologies to familiarize end users. Background:. As machine learning, artificial i
Externí odkaz:
https://doaj.org/article/d0196cd6d8964eabb52ceb14342962bc
Autor:
Grimsley, Harper R., Barron, George S., Barnes, Edwin, Economou, Sophia E., Mayhall, Nicholas J.
Variational quantum eigensolvers (VQEs) represent a powerful class of hybrid quantum-classical algorithms for computing molecular energies. Various numerical issues exist for these methods, however, including barren plateaus and large numbers of loca
Externí odkaz:
http://arxiv.org/abs/2204.07179
Publikováno v:
In Surgery October 2024 176(4):1123-1130
Autor:
Sayfo, Sameh, Rosol, Zachary P., Vazquez, David Fernandez, Mamawala, Mufaddal, Bruneman, Blake M., Weideman, Sarah G., Adelman, Kennedy S., Jeong, Minseob, Ramanan, Bala, Tsai, Shirling, Shammas, Nicolas W., Monteleone, Peter P., Nanjundappa, Aravinda, Chu, Hung B., Smith, Bertram L., Grimsley, Bradley R., Hohmann, Stephen E., Vasquez, Javier, Jr, Metzger, Chris, Das, Tony S., Gable, Dennis R., Eidt, John F., Banerjee, Subhash
Publikováno v:
In The American Journal of Cardiology 1 October 2024 228:38-47