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Research PaperResearchia:202604.20066

A digitally controlled silicon quantum processing unit

Members of the HRL Quantum Team

Abstract

Commercially-relevant quantum computers will require large numbers of high-performing qubits that can be manufactured, integrated, and controlled at scale. Silicon exchange-only (EO) qubits are a strong candidate modality due to their control-signal simplicity and compatibility with advanced semiconductor manufacturing, but questions remain around the achievability of sufficiently low noise and a scalable control and wiring solution. Here we introduce a quantum processing unit composed of a cust...

Submitted: April 20, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

Commercially-relevant quantum computers will require large numbers of high-performing qubits that can be manufactured, integrated, and controlled at scale. Silicon exchange-only (EO) qubits are a strong candidate modality due to their control-signal simplicity and compatibility with advanced semiconductor manufacturing, but questions remain around the achievability of sufficiently low noise and a scalable control and wiring solution. Here we introduce a quantum processing unit composed of a custom-designed cryogenic CMOS controller, a novel high-density superconducting ribbon cable, and a low-noise EO qubit device. The quantum chip features a three-rail array of 54 exchange-coupled quantum dots, configurable to host up to 18 EO qubits. We integrate and use these components to demonstrate qubit performance for both single-qubit and entangling operations that advances the EO state of the art by an order of magnitude. We further validate this system by implementing a distance-5 repetition code and a quantum error detecting code then make detailed comparisons with simulations. Our approach facilitates a utility-scale quantum computer with manageable operational and capital requirements.


Source: arXiv:2604.16216v1 - http://arxiv.org/abs/2604.16216v1 PDF: https://arxiv.org/pdf/2604.16216v1 Original Link: http://arxiv.org/abs/2604.16216v1

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Submission Info
Date:
Apr 20, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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