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IonQ Announces Pat Tang as New VP of Research & Development - Vimarsana News

IonQ Announces Pat Tang as New VP of Research & Development

Tang’s addition bolsters IonQ’s leadership in cutting-edge quantum technology ... | May 10, 2023

IonQ and Fidelity Center for Applied Technology Announce Development of Scalable Quantum State Preparation for Monte Carlo Algorithms - Vimarsana News

IonQ and Fidelity Center for Applied Technology Announce Development of Scalable Quantum State Preparation for Monte Carlo Algorithms

The proposed technique is expected to enable quantum sampling algorithms to scale to high precision, paving the way for quantum advantage on practical problems ... | May 4, 2023

IonQ, Inc. (NYSE:IONQ) Short Interest Up 9.9% in April - Vimarsana News

IonQ, Inc. (NYSE:IONQ) Short Interest Up 9.9% in April

IonQ, Inc. (NYSE:IONQ – Get Rating) saw a large increase in short interest in the month of April. As of April 15th, there was short interest totalling 22,350,000 shares, an increase of 9.9% from the March 31st total of 20,330,000 shares. Based on an average daily trading volume, of 4,440,000 shares, the short-interest ratio is […]

IonQ to Present Research On Quantum Cognition Models & A New Efficient Quantum Encoding Method for Data from Gaussian Distributions at Q2B Paris 2023 - Vimarsana News

IonQ to Present Research On Quantum Cognition Models & A New Efficient Quantum Encoding Method for Data from Gaussian Distributions at Q2B Paris 2023

IonQ to lead a session on the first implementation of known quantum cognition models on physical quantum hardware, as well as a session on a new quantum encoding procedure for data from Gaussian... | May 3, 2023

IonQ, Inc.: IonQ to Present Research On Quantum Cognition Models & A New Efficient Quantum Encoding Method for Data from Gaussian Distributions at Q2B Paris 2023 - Vimarsana News

IonQ, Inc.: IonQ to Present Research On Quantum Cognition Models & A New Efficient Quantum Encoding Method for Data from Gaussian Distributions at Q2B Paris 2023

IonQ to lead a session on the first implementation of known quantum cognition models on physical quantum hardware, as well as a session on a new quantum encoding procedure for data from Gaussian