1.5k citations · 5.7k across the 57 of their papers we have counts for
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Composite QDrift-Product Formulas for Quantum and Classical Simulations in Real and Imaginary Time
Matthew Pocrnic, Matthew Hagan, Juan Carrasquilla +2
Recent work has shown that it can be advantageous to implement a composite channel that partitions the Hamiltonian for a given simulation problem into subsets and such…
Quantum-Classical Multiple Kernel Learning
Ara Ghukasyan, Jack S. Baker, Oktay Goktas +2
As quantum computers become increasingly practical, so does the prospect of using quantum computation to improve upon traditional algorithms. Kernel methods in machine learning is…
Here comes the SU(N): multivariate quantum gates and gradients
Roeland Wiersema, Dylan Lewis, David Wierichs +2
Variational quantum algorithms use non-convex optimization methods to find the optimal parameters for a parametrized quantum circuit in order to solve a computational problem. The…
Variational Benchmarks for Quantum Many-Body Problems
Dian Wu, Riccardo Rossi, Filippo Vicentini +30
The continued development of computational approaches to many-body ground-state problems in physics and chemistry calls for a consistent way to assess its overall progress. In this…