Benjamin Sheldan

Learning efficiency in the Inverse Ising Problem

Benjamin Sheldan, 2018 .

Physically optimizing inference

David A. Sivak, Matt Thomson, Benjamin Sheldan, 2018, 1805.07512.

Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets

Mark W. Johnson, Andrew D. King, H. Neven, 2021, Nature Communications.

Architectural considerations in the design of a third-generation superconducting quantum annealing processor

Mark W. Johnson, Andrew D. King, A. Berkley, 2021, 2108.02322.

Scaling advantage in quantum simulation of geometrically frustrated magnets pdf

Masoud Mohseni, Hartmut Neven, Mark W. Johnson, 2019, ArXiv.