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Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research.

, , , , , , and . SIGMOD Conference Companion, page 45-52. ACM, (2023)

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Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules., , , , , , , , and . Proc. VLDB Endow., 16 (9): 2344-2353 (2023)Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications., , , , and . VLDB Workshops, volume 3462 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Hardware-accelerated pose estimation for embedded systems using Vivado HLS., , , , and . ReConFig, page 1-7. IEEE, (2016)Design space exploration for a hardware-accelerated embedded real-time pose estimation using vivado HLS., , , , , and . ReConFig, page 1-8. IEEE, (2017)Constructing Optimal Bushy Join Trees by Solving QUBO Problems on Quantum Hardware and Simulators., , , , , and . BiDEDE@SIGMOD, page 7:1-7:7. ACM, (2023)Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research., , , , , , and . SIGMOD Conference Companion, page 45-52. ACM, (2023)Quantum Machine Learning for Join Order Optimization using Variational Quantum Circuits., , , and . BiDEDE@SIGMOD, page 5:1-5:7. ACM, (2023)Quantum Join Ordering by Splitting the Search Space of QUBO Problems., , , , and . Datenbank-Spektrum, 24 (1): 21-32 (March 2024)