Quantum Computing for Power Systems Operations: A Pragmatic View

Panelists from industry, academia, and research labs discuss about the challenges and opportunities of quantum computing solutions towards power systems operations. Quantum computers exhibit an innate ability to handle exponentially large computations in a parallel fashion. Methods designed to run on quantum computers can attain polynomial or even exponential speedups over the best-known counterparts on classical computers. At the same time, some of these methods presume a large number of qubits and gates, fault-tolerant quantum computers, and seamless data coordination between classical and quantum computers. Moreover, the outputs of quantum computing come with a strong probabilistic flavor. This panel aspires to demystify some of these issues and present how quantum solutions in the so-termed near-term intermediate scale (NISQ) era can advance computations in power systems operations, such as mixed-integer and continuous optimization problems, sampling scenarios, and solving linear (differential) equations for dynamics. Presentations in this panel session: - Modeling and Control of Renewable Energy Systems when Meeting with Quantum Computing (23PESGM4212) - Distributed Quantum Unit Commitment (23PESGM4216)