602 citations · 826 across the 8 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
quant-ph2023★ 85 cited
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…
quant-ph2023★ 3 cited
Unifying non-Markovian characterisation with an efficient and self-consistent framework
Gregory A. L. White, Petar Jurcevic, Charles D. Hill +1
Noise on quantum devices is much more complex than it is commonly given credit. Far from usual models of decoherence, nearly all quantum devices are plagued both by a continuum of…