Author

Jens Renders

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Preprint Oct 2026

Q-MERGE: Parallelising Quantum State Preparation for Large-Scale Classical Data

Quantum processing of classical data fundamentally relies on efficiently mapping classical datasets onto the amplitudes of quantum states. Preparing large amplitude-encoded states, however, remains a major bottleneck in quantum computing. In this paper, we introduce a novel state-preparation framework we call Q-MERGE,...

Archie Butterworth, Jens Renders, Jing-Bo Wang · 0 citations

Preprint Sep 2026

From Block-encoding to Generalized Quantum Signal Processing: Principles, Algorithms and Applications

This paper develops techniques from first principles as a unified framework for constructing quantum algorithms based on polynomial transformations and applies this framework to representative applications to highlight design principles and demonstrate how distinct algorithms can be constructed from a unified sequence...

Tal Gurfinkel, Kaushika De Silva, A. Mahasinghe et al. · 0 citations