IonQ to Present Research at American Physical Society (APS) Annual Meeting 2022
IonQ (NYSE: IONQ) is set to participate in the American Physical Society (APS) March meeting, scheduled for March 14-18, 2022 in Chicago. Cofounder Jungsang Kim will be honored as a fellow, recognizing his groundbreaking work in trapped-ion quantum computing. The IonQ team will showcase advances in quantum computing, collaborating with institutions like Duke University and California Institute of Technology. Key presentations include topics such as quantum chemistry simulations and quantum generative modeling.
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Cofounder and CTO
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At the conference, the
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Pushing the Limit of Quantum Chemistry Simulations with Ion-Trap Hardware, presented by
Luning Zhao . This work, done in collaboration withOak Ridge National Laboratory , explores the use of the variational quantum eigensolver (VQE) onIonQ's high-fidelity, 11-qubit ion-trap quantum computers. The team was able to simulate small molecular systems such as metal hydrides with a 2-electron, 6-qubit active space and beyond to chemical accuracy. Research on metal hydrides can benefit development of technologies including batteries and hydrogen storage for hydrogen powered vehicles. -
Risk Aggregation by Quantum Generative Modeling of Copulas, presented by
Daiwei Zhu . This collaboration withGE Research uses copulas and IonQ’s quantum computers to model the joint distribution of The Dow Jones Total Stock Market Index, The Market Volatility Index, and The Nikkei Market Index. -
Generative Quantum Learning of Joint Probability Distribution Functions, presented by
Sonika Johri . In ongoing collaboration with theFidelity Center for Applied Technology , the researchers used a form of hybrid quantum computing to model the prices of Microsoft and Apple’s stock in order to develop methods that may predict future volatility. -
Application-Oriented Performance Benchmarks for Quantum Computing, a three-part presentation by a team of scientists, including IonQ’s
Sonika Johri andLuning Zhao , from organizations belonging to theQuantum Economic Development Consortium . QEDC has worked to develop an open-source suite of benchmarking methods intended to measure quantum computers based on their performance in real applications rather than on their nominal hardware details. It is the basis for IonQ’s new #AQ single-number benchmark, whichIonQ has begun using in order to make the real-world performance of their systems as transparent as possible to users.
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