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Resource-efficient Variational Compilation of Block-Encodings
Leon Rullkötter, Sebastian Weber, Vamshi Mohan Katukuri +2
Block-encoding operators are one of the essential components in quantum algorithms based on Quantum Signal Processing. Their gate complexity largely determines the overall gate com…
Optimizing Superconducting Qubit Performance: A Theoretical Framework for Design, Analysis, and Calibration
Sirshi S Ram, Muralikrishna Molli, Vamshi Mohan Katukuri +1
Designing a qubit architecture is one of the most critical challenges in achieving scalable and fault-tolerant quantum computing as the performance of a quantum computer is heavily…
Quantum Annealing based Feature Selection in Machine Learning
Daniel Pranjic, Bharadwaj Chowdary Mummaneni, Christian Tutschku
Feature selection is crucial for enhancing the accuracy and efficiency of machine learning (ML) models. This work investigates the utility of quantum annealing for the feature sele…
Unlocking Quantum Optimization: A Use Case Study on NISQ Systems
Andreas Sturm, Bharadwaj Mummaneni, Leon Rullkötter
The major advances in quantum computing over the last few decades have sparked great interest in applying it to solve the most challenging computational problems in a wide variety…