{
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  "authors": [
    {
      "raw_name": "William Detmold", 
      "affiliations": [
        {
          "country": "USA", 
          "value": "Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA"
        }, 
        {
          "country": "USA", 
          "value": "The NSF AI Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, Massachusetts 02139, USA"
        }
      ], 
      "surname": "Detmold", 
      "given_names": "William", 
      "full_name": "Detmold, William"
    }, 
    {
      "raw_name": "Gurtej Kanwar", 
      "affiliations": [
        {
          "country": "USA", 
          "value": "Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA"
        }, 
        {
          "country": "USA", 
          "value": "The NSF AI Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, Massachusetts 02139, USA"
        }
      ], 
      "surname": "Kanwar", 
      "given_names": "Gurtej", 
      "full_name": "Kanwar, Gurtej"
    }, 
    {
      "raw_name": "Henry Lamm", 
      "affiliations": [
        {
          "country": "USA", 
          "value": "Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA"
        }
      ], 
      "surname": "Lamm", 
      "given_names": "Henry", 
      "full_name": "Lamm, Henry"
    }, 
    {
      "raw_name": "Michael L. Wagman", 
      "affiliations": [
        {
          "country": "USA", 
          "value": "Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA"
        }
      ], 
      "surname": "Wagman", 
      "given_names": "Michael L.", 
      "full_name": "Wagman, Michael L."
    }, 
    {
      "raw_name": "Neill C. Warrington", 
      "affiliations": [
        {
          "country": "USA", 
          "value": "Institute for Nuclear Theory, University of Washington, Seattle, Washington 98195-1550"
        }
      ], 
      "surname": "Warrington", 
      "given_names": "Neill C.", 
      "full_name": "Warrington, Neill C."
    }
  ], 
  "titles": [
    {
      "source": "APS", 
      "title": "Path integral contour deformations for observables in <math><mi>S</mi><mi>U</mi><mo>(</mo><mi>N</mi><mo>)</mo></math> gauge theory"
    }
  ], 
  "dois": [
    {
      "value": "10.1103/PhysRevD.103.094517"
    }
  ], 
  "publication_info": [
    {
      "journal_volume": "103", 
      "journal_title": "Physical Review D", 
      "material": "article", 
      "journal_issue": "9", 
      "year": 2021
    }
  ], 
  "$schema": "http://repo.scoap3.org/schemas/hep.json", 
  "acquisition_source": {
    "date": "2022-04-05T09:17:38.818742", 
    "source": "APS", 
    "method": "APS", 
    "submission_number": "2cf5978cb4c111ec837fd6d834be26e1"
  }, 
  "page_nr": [
    25
  ], 
  "license": [
    {
      "url": "https://creativecommons.org/licenses/by/4.0/", 
      "license": "CC-BY-4.0"
    }
  ], 
  "copyright": [
    {
      "statement": "Published by the American Physical Society", 
      "year": "2021"
    }
  ], 
  "control_number": "62200", 
  "record_creation_date": "2021-05-24T16:30:06.366602", 
  "_files": [
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      "version_id": "9284cea2-3b4b-468e-a90d-bba74e021ce9", 
      "key": "10.1103/PhysRevD.103.094517.pdf", 
      "size": 1248377
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  "collections": [
    {
      "primary": "HEP"
    }, 
    {
      "primary": "Citeable"
    }, 
    {
      "primary": "Published"
    }
  ], 
  "arxiv_eprints": [
    {
      "categories": [
        "hep-lat", 
        "cond-mat.stat-mech", 
        "nucl-th"
      ], 
      "value": "2101.12668"
    }
  ], 
  "abstracts": [
    {
      "source": "APS", 
      "value": "Path integral contour deformations have been shown to mitigate sign and signal-to-noise problems associated with phase fluctuations in lattice field theories. We define a family of contour deformations applicable to <math><mi>S</mi><mi>U</mi><mo>(</mo><mi>N</mi><mo>)</mo></math> lattice gauge theory that can reduce sign and signal-to-noise problems associated with complex actions and complex observables. For observables, these contours can be used to define deformed observables with identical expectation value but different variance. As a proof-of-principle, we apply machine learning techniques to optimize the deformed observables associated with Wilson loops in two dimensional <math><mi>S</mi><mi>U</mi><mo>(</mo><mn>2</mn><mo>)</mo></math> and <math><mi>S</mi><mi>U</mi><mo>(</mo><mn>3</mn><mo>)</mo></math> gauge theory. We study loops consisting of up to 64 plaquettes and achieve variance reduction of up to 4 orders of magnitude."
    }
  ], 
  "imprints": [
    {
      "date": "2021-05-24", 
      "publisher": "APS"
    }
  ]
}