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honeywell announces its h1 quantum computer with 10 qubits

AVATAR Frederic Lardinois
Frederic Lardinois
Editor
October 29, 2020
honeywell announces its h1 quantum computer with 10 qubits

Honeywell, a somewhat unexpected competitor in the quantum computing field, revealed its latest system – the Model H1 – following its earlier announcement of plans to develop a leading-edge quantum computer. The H1 utilizes trapped-ion technology and incorporates 10 fully connected qubits, enabling it to attain a quantum volume of 128. Quantum volume (QV) serves as a measurement of a quantum computer’s total computational capability, regardless of the specific technology employed. This figure surpasses the performance of similar systems from IBM, although it remains considerably lower than the QV of 4,000,000 reported by IonQ using 32 qubits.

The H1 system will be accessible to businesses via the Azure Quantum platform, and Honeywell is collaborating with Zapata Computing and Cambridge Quantum Computing on this initiative.

Upon initially detailing its quantum computing endeavors, Honeywell highlighted its expertise in control systems as a key factor in creating a sophisticated ion trap and more consistent qubits, which simplifies the process of error correction.

Image Credits: Honeywell

Alongside the unveiling of its next-generation quantum computer, the company also presented its long-term quantum development plan spanning the next decade. This strategy involves increasing qubit count from 10 to 40 with complete connectivity, progressing towards future devices that are fault-tolerant and suitable for broader deployment.

“Honeywell’s ambitious quantum computing plan demonstrates our dedication to reaching commercial viability for our quantum operations. Our subscription-based service offers enterprise clients access to Honeywell’s most cutting-edge system,” stated Tony Uttley, president of Honeywell Quantum Solutions. “Honeywell’s distinct approach allows us to systematically and consistently enhance the H1 series of systems through increased qubit numbers, improved fidelities, and specialized feature adjustments.”

Image Credits: Honeywell

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Frederic Lardinois

From 2012 to 2025, Frederic contributed his expertise to TechCrunch. Additionally, he established SiliconFilter and previously authored articles for ReadWriteWeb, which is now known as ReadWrite. His reporting focuses on a diverse range of topics, including enterprise technology, cloud computing, developer tools, Google, Microsoft, consumer gadgets, the transportation sector, and other areas that capture his attention.
Frederic Lardinois