pith. sign in

Building logical qubits in a superconducting quantum computing system

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
abstract

The technological world is in the midst of a quantum computing and quantum information revolution. Since Richard Feynman's famous "plenty of room at the bottom" lecture, hinting at the notion of novel devices employing quantum mechanics, the quantum information community has taken gigantic strides in understanding the potential applications of a quantum computer and laid the foundational requirements for building one. We believe that the next significant step will be to demonstrate a quantum memory, in which a system of interacting qubits stores an encoded logical qubit state longer than the incorporated parts. Here, we describe the important route towards a logical memory with superconducting qubits, employing a rotated version of the surface code. The current status of technology with regards to interconnected superconducting-qubit networks will be described and near-term areas of focus to improve devices will be identified. Overall, the progress in this exciting field has been astounding, but we are at an important turning point where it will be critical to incorporate engineering solutions with quantum architectural considerations, laying the foundation towards scalable fault-tolerant quantum computers in the near future.

fields

quant-ph 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

Quantum Chip Paradigm Framework

quant-ph · 2026-06-16 · unverdicted · novelty 3.0

Proposes a hierarchical Q-EDA framework for superconducting quantum chips that begins with physical structures and integrates modeling, simulation, and measurement feedback for scalable design.

citing papers explorer

Showing 1 of 1 citing paper.

  • Quantum Chip Paradigm Framework quant-ph · 2026-06-16 · unverdicted · none · ref 3 · internal anchor

    Proposes a hierarchical Q-EDA framework for superconducting quantum chips that begins with physical structures and integrates modeling, simulation, and measurement feedback for scalable design.