15 citations · 15 across the 3 of their papers we have counts for
3 papers
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…
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…
Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets
Miguel Caçador Peixoto, Nuno Filipe Castro, Miguel Crispim Romão +2
Current quantum systems have significant limitations affecting the processing of large datasets with high dimensionality, typical of high energy physics. In the present paper, feat…