<p>Scalable superconducting memory is required for the development of low-energy superconducting computers and fault-tolerant quantum computers. Conventional superconducting logic-based memory cells possess a large footprint that limits scaling; nanowire-based superconducting memory cells, although more compact, have high error rates, which hinders integration into large arrays. Here we report a 4 × 4 superconducting nanowire memory array that is designed for scalable row–column operations and has a functional density of 2.6 Mbit cm<sup>−2</sup>. Each memory cell is based on a nanowire loop consisting of two temperature-dependent superconducting switches and a variable kinetic inductor. The arrays operate at 1.3 K, where we implement and characterize multiflux quanta state storage and destructive read-out. By optimizing the write- and read-pulse sequences, we minimize bit errors and maximize operating margins. We achieve a minimum bit error rate of 10<sup>−5</sup>. We also use circuit-level simulations to understand the memory cell’s dynamics, performance limits and stability under varying pulse amplitudes.</p>

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A scalable superconducting nanowire memory array with row–column addressing

  • Owen Medeiros,
  • Matteo Castellani,
  • Valentin Karam,
  • Reed Foster,
  • Alejandro Simon,
  • Francesca Incalza,
  • Brenden Butters,
  • Marco Colangelo,
  • Karl K. Berggren

摘要

Scalable superconducting memory is required for the development of low-energy superconducting computers and fault-tolerant quantum computers. Conventional superconducting logic-based memory cells possess a large footprint that limits scaling; nanowire-based superconducting memory cells, although more compact, have high error rates, which hinders integration into large arrays. Here we report a 4 × 4 superconducting nanowire memory array that is designed for scalable row–column operations and has a functional density of 2.6 Mbit cm−2. Each memory cell is based on a nanowire loop consisting of two temperature-dependent superconducting switches and a variable kinetic inductor. The arrays operate at 1.3 K, where we implement and characterize multiflux quanta state storage and destructive read-out. By optimizing the write- and read-pulse sequences, we minimize bit errors and maximize operating margins. We achieve a minimum bit error rate of 10−5. We also use circuit-level simulations to understand the memory cell’s dynamics, performance limits and stability under varying pulse amplitudes.