99 citations · 104 across the 5 of their papers we have counts for
6 papers
Achieving Utility-Scale Applications through Full Stack Co-Design of Fault Tolerant Quantum Computers
Katerina Gratsea, Matthew Otten
Quantum computing promises revolutionary advances in modeling materials and molecules. However, the up-to-date runtime estimates for utility-scale applications on certain quantum h…
OnionVQE Optimization Strategy for Ground State Preparation on NISQ Devices
Katerina Gratsea, Johannes Selisko, Maximilian Amsler +3
The Variational Quantum Eigensolver (VQE) is one of the most promising and widely used algorithms for exploiting the capabilities of current Noisy Intermediate-Scale Quantum (NISQ)…
Comparing Classical and Quantum Ground State Preparation Heuristics
Katerina Gratsea, Jakob S. Kottmann, Peter D. Johnson +1
One promising field of quantum computation is the simulation of quantum systems, and specifically, the task of ground state energy estimation (GSEE). Ground state preparation (GSP)…
Early Fault-Tolerant Quantum Computing
Amara Katabarwa, Katerina Gratsea, Athena Caesura +1
Over the past decade, research in quantum computing has tended to fall into one of two camps: near-term intermediate scale quantum (NISQ) and fault-tolerant quantum computing (FTQC…
When to Reject a Ground State Preparation Algorithm
Katerina Gratsea, Chong Sun, Peter D. Johnson
In recent years substantial research effort has been devoted to quantum algorithms for ground state energy estimation (GSEE) in chemistry and materials. Given the many heuristic an…
Storage properties of a quantum perceptron
Aikaterini, Gratsea, Valentin Kasper +1
Driven by growing computational power and algorithmic developments, machine learning methods have become valuable tools for analyzing vast amounts of data. Simultaneously, the fast…