• DocumentCode
    1122251
  • Title

    A Quantum-Accurate Two-Loop Data Converter

  • Author

    Herr, Quentin P. ; Miller, Donald L. ; Pesetski, Aaron A. ; Przybysz, John X.

  • Author_Institution
    Northrop Grumman, Baltimore, MD, USA
  • Volume
    19
  • Issue
    3
  • fYear
    2009
  • fDate
    6/1/2009 12:00:00 AM
  • Firstpage
    676
  • Lastpage
    679
  • Abstract
    High performance oversampling delta-sigma data converters require high clock rates and accurate feedback of the digital output to the analog regime. Superconductor modulators offer the unique advantages of clock rates in the tens-of-gigahertz, comparator switching energy below attoJoules, and quantum-accurate digital-to-analog feedback. We have designed a two-loop baseband modulator whose noise transfer function was calculated using a simple, linear circuit model. The circuit was fabricated in a commercial superconductor IC process with 4.5 kA-per-square cm Josephson junctions and 1.5 micron minimum feature size. The circuit was tested at a derated sample rate of 5 GHz. Measured signal-to-noise dynamic range was 81 dB over a 10 MHz band. Third-order intercept was measured to be +24 dBsat in two-tone test. The measured noise transfer function was in excellent agreement with our linear model. The linear model indicates that with appropriate parameter values, this family of modulators extrapolates to significantly higher performance.
  • Keywords
    circuit testing; delta-sigma modulation; superconducting integrated circuits; transfer functions; Josephson junctions; baseband modulator; comparator switching energy; delta-sigma data converter; digital-to-analog feedback; frequency 5 GHz; high performance oversampling; linear circuit model; noise transfer function; quantum-accurate two-loop data converter; signal-to-noise dynamic range; superconductor IC process; superconductor modulator; third-order intercept;
  • fLanguage
    English
  • Journal_Title
    Applied Superconductivity, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8223
  • Type

    jour

  • DOI
    10.1109/TASC.2009.2018772
  • Filename
    5153050