48 citations · 64 across the 2 of their papers we have counts for
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quant-ph2021
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…
quant-ph2020
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…
quant-ph2020
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…