617 citations · 2.9k across the 42 of their papers we have counts for
42 papers
Robust series linearization of nonlinear advection-diffusion equations
T. Forrest Kieffer, Jakob Cupp, John S. Van Dyke +2
We consider nonlinear partial differential equations (PDEs) for advection-diffusion processes which are augmented by an auxiliary parameter such that corresponds to linea…
Hubbard parameters for programmable tweezer arrays
Hao-Tian Wei, Eduardo Ibarra-García-Padilla, Michael L. Wall +1
The experimental realization of Fermi-Hubbard tweezer arrays opens a new stage for engineering fermionic matter, where programmable lattice geometries and Hubbard model parameters…
A tensor network discriminator architecture for classification of quantum data on quantum computers
Michael L. Wall, Paraj Titum, Gregory Quiroz +2
We demonstrate the use of matrix product state (MPS) models for discriminating quantum data on quantum computers using holographic algorithms, focusing on classifying a translation…
Tree tensor network classifiers for machine learning: from quantum-inspired to quantum-assisted
Michael L. Wall, Giuseppe D'Aguanno
We describe a quantum-assisted machine learning (QAML) method in which multivariate data is encoded into quantum states in a Hilbert space whose dimension is exponentially large in…
Generative machine learning with tensor networks: benchmarks on near-term quantum computers
Michael L. Wall, Matthew R. Abernathy, Gregory Quiroz
Noisy, intermediate-scale quantum (NISQ) computing devices have become an industrial reality in the last few years, and cloud-based interfaces to these devices are enabling explora…
Matrix product operator representation of polynomial interactions
Michael L. Wall
We provide an exact construction of interaction Hamiltonians on a one-dimensional lattice which grow as a polynomial multiplied by an exponential with the lattice site separation a…