IonQ, a commercial quantum computing company, will present four peer-reviewed research papers and participate in 12 events at the 2025 IEEE International Conference on Quantum Computing and Engineering (QCE25), taking place from August 31 to September 5 in Albuquerque, New Mexico. Researchers Willie Aboumrad, Phani R V Marthi, Suman Debnath, Martin Roetteler, and Evgeny Epifanovsky authored a paper introducing a hybrid quantum-classical algorithm for the Unit Commitment Problem in energy grid management, while Aboumrad, alongside Daiwei Zhu, Claudio Girotto, Francois-Henry Rouet, Jezer Jojo, Robert Lucas, Jay Pathak, Ananth Kaushik, and Roetteler, demonstrated accelerated large-scale linear algebra using variational quantum imaginary time evolution. Additionally, Apurva Tiwari, Jason Iaconis, Jezer Jojo, Sayonee Ray, Roetteler, Chris Hill, and Jay Pathak, in collaboration with Ansys, have advanced research in the field of quantum lattice Boltzmann methods.
IonQ, a commercial quantum computing and networking company, will participate in the 2025 IEEE International Conference on Quantum Computing and Engineering (QCE25), taking place from August 31 to September 5 in Albuquerque, New Mexico. The company is scheduled to present four peer-reviewed research papers and participate in 12 onsite events, including technical workshops and panels at IEEE Quantum Week. IEEE, the publisher of highly cited journals for innovation, accepted IonQ’s papers covering areas from quantum machine learning to energy optimization simulations.
A paper titled “A New Hybrid Algorithm for Solving the Unit Commitment Problem,” authored by Willie Aboumrad, Phani R V Marthi, Suman Debnath, Martin Roetteler, and Evgeny Epifanovsky, introduces a novel hybrid quantum-classical algorithm designed to address the Unit Commitment Problem, a core optimization challenge in energy grid management. This paper is scheduled for presentation in Session TP10::QAPP::749 on August 31, from 10:00-11:30 a.m. Another paper, “Accelerating Large-Scale Linear Algebra Using Variational Quantum Imaginary Time Evolution,” authored by Willie Aboumrad, Daiwei Zhu, Claudio Girotto, Francois-Henry Rouet, Jezer Jojo, Robert Lucas, Jay Pathak, Ananth Kaushik, and Martin Roetteler, demonstrates a method for accelerating large-scale linear algebra computations used in scientific and engineering applications. This paper will be presented in Session TP12::QAPP::313 on August 31, from 3:00-4:30 p.m…