September 23 - 25, 2020 | Marriott Copley Place, Boston

Dr. Keeper Sharkey

Founder & Lead Principal Investigator ODE, L3C

Keeper L. Sharkey is a Quantum chemist and machine learning consultant working through ODE, L3C which she founded in December of 2018. She holds a BS in both mathematics and chemistry from the University of Arizona (UA) - 2010. As a National Science Foundation graduate research fellow, she completed her PhD in Chemical Physics (2015) also from UA. During her academic career at UA, she published 26 manuscripts in peer-reviewed journals. She has been cited over 200 times, her publication H-index is 10 (i10-index is also 10), and she has been serving as a peer-reviewer of reputed Journals. Her postdoctoral faculty appointment at Washington State University in 2016/17 was focused on deriving algorithms for learning physical properties of metallic hydrogen. She has also spent time machine learning sequential marketing programs in the insurance and FinTech sector. She is highly interested in applying her expertise of atomic and molecular Quantum physics to Decision Intelligence as well as contributing to the chemical design of Quantum computers.

Conference Day Two: September 11, 2019

Wednesday, September 11th, 2019

1:15 PM Non-Born-Oppenheimer algorithms for Quantum chemistry and computing

Near-term developments in quantum algorithms will directly impact the design of next-generation qubits, i.e., 3 or more particle variability for increased computational freedom, and other devices that rely on specific atomic and molecular states. These algorithms do not assume the Born-Oppenheimer (BO) approximation. Nuclei and electrons are treated the same; the mass and charge for each particle are included in the Hamiltonian. The wave function that describes states of interest are expanded in a superposition of explicitly correlated Gaussian (ECG) basis functions containing information about the spatial, spin, angular momentum coordinates for each particle, as well as the symmetry projection operation. The machine learning algorithms have the capability of surpassing experimental precision and BO-computational accuracy in predicting, verifying, and refining bound state spectra of atoms and molecules. We will understand Non-BO simulations through exploring three-particle systems, e.g., elemental helium and molecular hydrogen cation (H2+). Benchmark systems such as highly ionized iron plasma - Fe(XIII), and various interstellar molecules: H3+  and CH5+, are the current focus of the broader scientific community, as is including relativistic corrections and external magnetic fields to simulate ion traps.

Check out the incredible speaker line-up to see who will be joining Keeper.

Download The Latest Agenda