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20222026
most citedFitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets

15 citations · 15 across the 3 of their papers we have counts for

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quant-ph2026

Tackling instabilities of quantum Krylov subspace methods: an analysis of the numerical and statistical errors

Maria Gabriela Jordão Oliveira, Karl Michael Ziems, Nina Glaser

Krylov subspace methods are among the most extensively studied early fault-tolerant quantum algorithms for estimating ground-state energies of quantum systems. However, the rapid o…

quant-ph2025

Quantum block Krylov subspace projector algorithm for computing low-lying eigenenergies

Maria Gabriela Jordão Oliveira, Nina Glaser

Computing eigenvalues is a computationally intensive task central to numerous applications in the natural sciences. Toward this end, we investigate the quantum block Krylov subspac…