3rd International Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data)
Ibrahim Sabek (University of Southern California)
Immanuel Trummer (Cornell University)
Rihan Hai (TU Delft - Electrical Engineering, Mathematics and Computer Science)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Quantum computing has seen significant advancements with the emergence of commercial quantum hardware from major tech companies and startups. These developments, alongside new classical hardware accelerators inspired by quantum technologies, facilitate the rapid solving of complex optimization problems and recently spawned a flurry of research in various communities. We propose to hold the Q-Data workshop for the 3rd time. The primary objective of this workshop is to explore how quantum computing and related technologies can enhance data processing, data management, data analysis systems, and techniques. It also focuses on hybrid approaches integrating quantum and classical computing methodologies to enhance such data systems and techniques. This workshop will spur new research efforts in this emerging field and pave the way for building next-generation data-intensive systems with quantum computing support.
help_outline