A Rational Krylov Method Based on Hermite Interpolation for Nonlinear Eigenvalue Problems. - Roel Van Beeumen; Karl Meerbergen; Wim Michiels (SIAM J. Sci. Comput., 2013)

NLEIGS: A Class of Fully Rational Krylov Methods for Nonlinear Eigenvalue Problems. - Stefan Güttel; Roel Van Beeumen; Karl Meerbergen; Wim Michiels (SIAM J. Sci. Comput., 2014)

Compact Rational Krylov Methods for Nonlinear Eigenvalue Problems. - Roel Van Beeumen; Karl Meerbergen; Wim Michiels (SIAM J. Matrix Anal. Appl., 2015)

A rank-exploiting infinite Arnoldi algorithm for nonlinear eigenvalue problems. - Roel Van Beeumen; Elias Jarlebring; Wim Michiels (Numer. Linear Algebra Appl., 2016)

A Model Order Reduction Algorithm for Estimating the Absorption Spectrum. - Roel Van Beeumen; David B. Williams-Young; Joseph M. Kasper; Chao Yang 001; Esmond G. Ng; Xiaosong Li (CoRR, 2017)

Computing resonant modes of accelerator cavities by solving nonlinear eigenvalue problems via rational approximation. - Roel Van Beeumen; Osni Marques; Esmond G. Ng; Chao Yang 001; Zhaojun Bai; Lixin Ge; Oleksiy Kononenko; Zenghai Li; Cho-Kuen Ng; Liling Xiao (J. Comput. Phys., 2018)

A Scalable Matrix-Free Iterative Eigensolver for Studying Many-Body Localization. - Roel Van Beeumen; Gregory D. Kahanamoku-Meyer; Norman Y. Yao; Chao Yang 001 (HPC Asia, 2020)

A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems. - Roel Van Beeumen; Lana Perisa; Daniel Kressner; Chao Yang 001 (CoRR, 2021)

Algebraic Compression of Quantum Circuits for Hamiltonian Evolution. - Efekan Kökcü; Daan Camps; Lindsay Bassman; James K. Freericks; Wibe A. de Jong; Roel Van Beeumen; Alexander F. Kemper (CoRR, 2021)

Quantum pixel representations and compression for N-dimensional images. - Mercy G. Amankwah; Daan Camps; E. Wes Bethel; Roel Van Beeumen; Talita Perciano (CoRR, 2021)

Quantum Fourier transform revisited. - Daan Camps; Roel Van Beeumen; Chao Yang 001 (Numer. Linear Algebra Appl., 2021)

A greedy algorithm for computing eigenvalues of a symmetric matrix with localized eigenvectors. - Taylor M. Hernandez; Roel Van Beeumen; Mark A. Caprio; Chao Yang 001 (Numer. Linear Algebra Appl., 2021)

FABLE: Fast Approximate Quantum Circuits for Block-Encodings. - Daan Camps; Roel Van Beeumen (QCE, 2022)

Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrice. - Daan Camps; Lin Lin 001; Roel Van Beeumen; Chao Yang 001 (CoRR, 2022)

Enhancing scalability of a matrix-free eigensolver for studying many-body localization. - Roel Van Beeumen; Khaled Z. Ibrahim; Gregory D. Kahanamoku-Meyer; Norman Y. Yao; Chao Yang 001 (Int. J. High Perform. Comput. Appl., 2022)

An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation. - Daan Camps; Efekan Kökcü; Lindsay Bassman Oftelie; Wibe A. de Jong; Alexander F. Kemper; Roel Van Beeumen (SIAM J. Matrix Anal. Appl., 2022)

Algebraic Compression of Free Fermionic Quantum Circuits: Particle Creation, Arbitrary Lattices and Controlled Evolution. - Efekan Kökcü; Daan Camps; Lindsay Bassman Oftelie; Wibe A. de Jong; Roel Van Beeumen; Alexander F. Kemper (QCE, 2023)

Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach. - Yizhi Shen; Daan Camps; Aaron Szasz; Siva Darbha; Katherine Klymko; David B. Williams-Young; Norm M. Tubman; Roel Van Beeumen (QCE, 2023)

Quantum Computing and Visualization: A Disruptive Technological Change Ahead. - E. Wes Bethel; Mercy G. Amankwah; Jan Balewski; Roel Van Beeumen; Daan Camps; Daniel Huang 001; Talita Perciano (IEEE Computer Graphics and Applications, 2023)

QCLAB++: Simulating Quantum Circuits on GPUs. - Roel Van Beeumen; Daan Camps; Neil Mehta (CoRR, 2023)

Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices. - Daan Camps; Lin Lin 001; Roel Van Beeumen; Chao Yang 001 (SIAM J. Matrix Anal. Appl., 2024)

Solving a class of infinite-dimensional tensor eigenvalue problems by translational invariant tensor ring approximations. - Roel Van Beeumen; Lana Perisa; Daniel Kressner; Chao Yang 001 (Numer. Linear Algebra Appl., 2024)

QCLAB: A Matlab Toolbox for Quantum Computing. - Sophia Keip; Daan Camps; Roel Van Beeumen (IPDPS (Workshops), 2025)

Inexact subspace projection methods for low-rank tensor eigenvalue problems. - Alec Dektor; Peter DelMastro; Erika Ye; Roel Van Beeumen; Chao Yang (CoRR, 2025)

From noisy observables to accurate ground state energies: a quantum classical signal subspace approach with denoising. - Hardeep Bassi; Yizhi Shen; Harish S. Bhat; Roel Van Beeumen (CoRR, 2025)