85 citations · 96 across the 10 of their papers we have counts for
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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
qSIEVE: Efficient qLDPC Memory via Systolic Movement in Atom Arrays
Joshua Viszlai, Willers Yang, Sophia Fuhui Lin +4
As quantum machines have scaled up in their number of qubits, significant research has turned towards increasing their fidelity with quantum error correction codes. Although promis…