168 citations · 955 across the 51 of their papers we have counts for
6 papers · 1 filter
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…
Subspace methods for electronic structure simulations on quantum computers
Mario Motta, William Kirby, Ieva Liepuoniute +7
Quantum subspace methods (QSMs) are a class of quantum computing algorithms where the time-independent Schrodinger equation for a quantum system is projected onto a subspace of the…
Efficient Quantum Counting and Quantum Content-Addressable Memory for DNA similarity
Jan Balewski, Daan Camps, Katherine Klymko +1
We present QCAM, a quantum analogue of Content-Addressable Memory (CAM), useful for finding matches in two sequences of bit-strings. Our QCAM implementation takes advantage of Grov…
HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware
Nicolas PD Sawaya, Daniel Marti-Dafcik, Yang Ho +13
In order to characterize and benchmark computational hardware, software, and algorithms, it is essential to have many problem instances on-hand. This is no less true for quantum co…
Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach
Yizhi Shen, Daan Camps, Aaron Szasz +5
Ground state energy estimation in physical, chemical, and materials sciences is one of the most promising applications of quantum computing. In this work, we introduce a new hybrid…
Remembering the work of Phillip L. Geissler: A coda to his scientific trajectory
Gregory R. Bowman, Stephen J. Cox, Christoph Dellago +19
Phillip L. Geissler made important contributions to the statistical mechanics of biological polymers, heterogeneous materials, and chemical dynamics in aqueous environments. He dev…