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20172023
most citedDeep Learning Beyond Lefschetz Thimbles

68 citations · 158 across the 13 of their papers we have counts for

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21 papers · 1 filter

hep-lat2023★ 1 cited

Control variates for lattice field theory

Tanmoy Bhattacharya, Scott Lawrence, Jun-Sik Yoo

In most lattice field theories, correlators are plagued by a signal-to-noise problem of exponential difficulty in the time separation. We propose a method for improving the signal-…

hep-lat2022★ 6 cited

Deep Learning of Fermion Sign Fluctuations

Scott Lawrence, Yukari Yamauchi

We describe a procedure for alleviating the fermion sign problem in which phase fluctuations are explicitly subtracted from the Boltzmann factor. Several ansätze for fluctuations a…

hep-lat2022★ 7 cited

Semidefinite Programs at Finite Fermion Density

Scott Lawrence

Semidefinite programs can be constructed to provide a non-perturbative view of the zero-temperature behavior of quantum systems. This paper examines the properties of these semidef…

hep-lat2022★ 20 cited

Lattice Scalar Field Theory At Complex Coupling

Scott Lawrence, Hyunwoo Oh, Yukari Yamauchi

Lattice scalar field theories encounter a sign problem when the coupling constant is complex. This is a close cousin of the real-time sign problems that afflict the lattice Schwing…

hep-lat2021

Normalizing flows for the real-time sign problem

Yukari Yamauchi, Scott Lawrence

We discuss the application of normalizing flows to bosonic lattice field theories with real-time sign problems. A normalizing flow, once it is found for such a lattice field theory…

hep-lat2021

Real-Time Dynamics at Large

Scott Lawrence

The large- limit of -symmetric bosonic field theories, or -symmetric fermionic field theories, is amenable to a saddle point approximation. As a result, there is a f…