Analog-to-digital converter based on voltage-controlled superconducting devices

M Md Mazharul Islam C Connor A. Good (Department of Computer Engineering, University of Mount Union 2 , Alliance, Ohio 44601,) D Diego Ferrer (Department of Electrical Engineering & Computer Science, University of Tennessee 1 , Knoxville, Tennessee 37996,) J Juan P. Mendez (Sandia National Laboratories 3 , Albuquerque, New Mexico 87123,) D Denis Mamaluy (Sandia National Laboratories 3 , Albuquerque, New Mexico 87123,) W Wei Pan K Kathleen E Hamilton (Oak Ridge National Laboratory 5 , Oak Ridge, Tennessee 37831,) A Ahmedullah Aziz

Abstract

The increasing demand for cryogenic electronics in superconducting and quantum computing systems calls for ultra-energy-efficient data conversion architectures that remain functional at deep cryogenic temperatures. In this work, we present the first design of a voltage-controlled superconducting flash analog-to-digital converter (ADC) based on a voltage-controlled quantum-enhanced Josephson junction field-effect transistor (JJFET). Exploiting its strong gate tunability and transistor-like behavior, the JJFET offers a scalable alternative to conventional current-controlled superconducting devices while aligning naturally with CMOS-style design methodologies. Building on our previously developed Verilog-A compact model calibrated to experimental data, we design and simulate a three-bit JJFET-based flash ADC targeted for integration within cryogenic control and readout circuitry in quantum computing. The core comparator block is realized through careful bias current selection and augmented with a three-terminal nanocryotron to precisely define reference voltages. Cascaded JJFET comparators ensure robust voltage gain, cascadability, and logic-level restoration across stages. Simulation results demonstrate accurate quantization behavior with ultra-low power dissipation, underscoring the feasibility of voltage-driven superconducting mixed-signal circuits. This work establishes a critical step toward unifying superconducting logic and data conversion, paving the way for scalable cryogenic architectures in quantum–classical co-processors, low-power artificial intelligence accelerators, and next-generation energy-constrained computing platforms.

Article Details

Volume / Issue Vol. 128, Issue 14
Published April 06, 2026
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (8)

M

Md Mazharul Islam

C

Connor A. Good

Department of Computer Engineering, University of Mount Union 2 , Alliance, Ohio 44601,

D

Diego Ferrer

Department of Electrical Engineering & Computer Science, University of Tennessee 1 , Knoxville, Tennessee 37996,

J

Juan P. Mendez

Sandia National Laboratories 3 , Albuquerque, New Mexico 87123,

D

Denis Mamaluy

Sandia National Laboratories 3 , Albuquerque, New Mexico 87123,

W

Wei Pan

K

Kathleen E Hamilton

Oak Ridge National Laboratory 5 , Oak Ridge, Tennessee 37831,

A

Ahmedullah Aziz