2 citations · 3 across the 5 of their papers we have counts for
5 papers
Don't Get Your Kroneckers in a Twist: Gaussian Processes on High-Dimensional Incomplete Grids
Mads Greisen Højlund, August Smart Lykke-Møller, Henry Moss +1
We introduce CUTS-GPR, a new method for performing numerically exact GPR in high-dimensional settings. The key component of CUTS-GPR is an extremely fast kernel matrix-vector produ…
Fault-tolerant quantum computations of vibrational wave functions
Marco Majland, Rasmus Berg Jensen, Patrick Ettenhuber +3
Quantum computation of vibrational properties of molecules is a promising platform to obtain computational advantages for computational chemistry. However, fault-tolerant quantum c…
Vibrational ADAPT-VQE: Critical points leads to problematic convergence
Marco Majland, Patrick Ettenhuber, Nikolaj Thomas Zinner +1
Quantum chemistry is one of the most promising applications for which quantum computing is expected to have significant impact. Despite considerable research in the field of electr…
A bivariational, stable and convergent hierarchy for time-dependent coupled cluster with adaptive basis sets
Mads Greisen Højlund, Ove Christiansen
We propose a new formulation of time-dependent coupled cluster with adaptive basis functions and division of the one-particle space into active and secondary subspaces. The formali…
Active Learning approach to simulations of Strongly Correlated Matter with the Ghost Gutzwiller Approximation
Marius S. Frank, Denis G. Artiukhin, Tsung-Han Lee +4
Quantum embedding (QE) methods such as the Ghost Gutzwiller Approximation (gGA) offer a powerful approach to simulating strongly-correlated systems, but come with the computational…