951 citations · 2.2k across the 18 of their papers we have counts for
18 papers
Explainable quantum regression algorithm with encoded data structure
C. -C. Joseph Wang, F. Perkkola, I. Salmenperä +2
Hybrid variational quantum algorithms are promising for solving practical problems, such as combinatorial optimization, quantum chemistry simulation, quantum machine learning, and…
Optimizing State Preparation for Variational Quantum Regression on NISQ Hardware
Frans Perkkola, Ilmo Salmeperä, Arianne Meijer-van de Griend +3
The execution of quantum algorithms on modern hardware is often constrained by noise and qubit decoherence, limiting the circuit depth and the number of gates that can be executed.…
Ancillary entangling Floquet kicks for accelerating quantum algorithms
C. -C. Joseph Wang, Phillip C. Lotshaw, Titus Morris +3
Quantum simulation with adiabatic annealing can provide insight into difficult problems that are impossible to study with classical computers. However, it deteriorates when the sys…
Subspace-projected multireference covariant density functional theory
X. Zhang, C. C. Wang, C. R. Ding +1
Multireference density functional theory (MR-DFT) has been a pivotal method for studying nuclear low-lying states and neutrinoless double-beta () decay. However, quantifying…
Explainable quantum regression algorithm with encoded data structure
C. -C. Joseph Wang, F. Perkkola, I. Salmenperä +3
Hybrid variational quantum algorithms (VQAs) are promising for solving practical problems such as combinatorial optimization, quantum chemistry simulation, quantum machine learning…
Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
Travis S. Humble, Andrea Delgado, Raphael Pooser +23
Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phe…