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Trapped Ion Quantum Computing Superconducting Qubits

Semiconductor Circuits for Quantum Computing with Electronic Wave Packets

arXiv
Authors: David Pomaranski, Ryo Ito, Ngoc Han Tu, Arne Ludwig, Andreas D. Wieck, Shintaro Takada, Nobu-Hisa Kaneko, Seddik Ouacel, Christopher Bauerle, Michihisa Yamamoto

Year

2024

Paper ID

37848

Status

Preprint

Abstract Read

~2 min

Abstract Words

189

Citations

N/A

Abstract

Standard approaches to quantum computing require significant overhead to correct for errors. The hardware size for conventional quantum processors in solids often increases linearly with the number of physical qubits, such as for transmon qubits in superconducting circuits or electron spin qubits in quantum dot arrays. While photonic circuits based on flying qubits do not suffer from decoherence or lack of potential scalability, they have encountered significant challenges to overcome photon loss in long delay circuits. Here, we propose an alternative approach that utilizes flying electronic wave packets propagating in solid-state quantum semiconductor circuits. Using a novel time-bin architecture for the electronic wave packets, hardware requirements are drastically reduced because qubits can be created on-demand and manipulated with a common hardware element, unlike the localized approach of wiring each qubit individually. The electronic Coulomb interaction enables reliable coupling and readout of qubits. Improving upon previous devices, we realize electronic interference at the level of a single quantized mode that can be used for manipulation of electronic wavepackets. This important landmark lays the foundation for fault-tolerant quantum computing with a compact and scalable architecture based on electron interferometry in semiconductors.

Why This Paper Matters

  • This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • Standard approaches to quantum computing require significant overhead to correct for errors.

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