---
res:
  bibo_abstract:
  - "Conventional computing architectures have no known efficient algorithms for combinatorial
    optimization tasks such\r\nas the Ising problem, which requires finding the ground
    state spin configuration of an arbitrary Ising graph. Physical\r\nIsing machines
    have recently been developed as an alternative to conventional exact and heuristic
    solvers; however,\r\nthese machines typically suffer from decreased ground state
    convergence probability or universality for high edge-\r\ndensity graphs or arbitrary
    graph weights, respectively. We experimentally demonstrate a proof-of-principle
    integrated\r\nnanophotonic recurrent Ising sampler (INPRIS), using a hybrid scheme
    combining electronics and silicon-on-insulator\r\nphotonics, that is capable of
    converging to the ground state of various four-spin graphs with high probability.
    The\r\nINPRIS results indicate that noise may be used as a resource to speed up
    the ground state search and to explore larger\r\nregions of the phase space, thus
    allowing one to probe noise-dependent physical observables. Since the recurrent
    pho-\r\ntonic transformation that our machine imparts is a fixed function of the
    graph problem and therefore compatible with\r\noptoelectronic architectures that
    support GHz clock rates (such as passive or non-volatile photonic circuits that
    do not\r\nrequire reprogramming at each iteration), this work suggests the potential
    for future systems that could achieve orders-\r\nof-magnitude speedups in exploring
    the solution space of combinatorially hard problems. @eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Mihika
      foaf_name: Prabhu, Mihika
      foaf_surname: Prabhu
  - foaf_Person:
      foaf_givenName: Charles
      foaf_name: Roques-Carmes, Charles
      foaf_surname: Roques-Carmes
      foaf_workInfoHomepage: http://www.librecat.org/personId=e2e68fc9-6505-11ef-a541-eb4e72cc3e82
  - foaf_Person:
      foaf_givenName: Yichen
      foaf_name: Shen, Yichen
      foaf_surname: Shen
  - foaf_Person:
      foaf_givenName: Nicholas
      foaf_name: Harris, Nicholas
      foaf_surname: Harris
  - foaf_Person:
      foaf_givenName: Li
      foaf_name: Jing, Li
      foaf_surname: Jing
  - foaf_Person:
      foaf_givenName: Jacques
      foaf_name: Carolan, Jacques
      foaf_surname: Carolan
  - foaf_Person:
      foaf_givenName: Ryan
      foaf_name: Hamerly, Ryan
      foaf_surname: Hamerly
  - foaf_Person:
      foaf_givenName: Tom
      foaf_name: Baehr-Jones, Tom
      foaf_surname: Baehr-Jones
  - foaf_Person:
      foaf_givenName: Michael
      foaf_name: Hochberg, Michael
      foaf_surname: Hochberg
  - foaf_Person:
      foaf_givenName: Vladimir
      foaf_name: Čeperić, Vladimir
      foaf_surname: Čeperić
  - foaf_Person:
      foaf_givenName: John D.
      foaf_name: Joannopoulos, John D.
      foaf_surname: Joannopoulos
  - foaf_Person:
      foaf_givenName: Dirk R.
      foaf_name: Englund, Dirk R.
      foaf_surname: Englund
  - foaf_Person:
      foaf_givenName: Marin
      foaf_name: Soljačić, Marin
      foaf_surname: Soljačić
  bibo_doi: 10.1364/optica.386613
  bibo_issue: '5'
  bibo_volume: 7
  dct_date: 2020^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2334-2536
  dct_language: eng
  dct_publisher: Optica Publishing Group@
  dct_title: Accelerating recurrent Ising machines in photonic integrated circuits@
...