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Mechanical resonator–based quantum computing.

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Title: Mechanical resonator–based quantum computing.
Authors: Yang, Yu (AUTHOR), Kladarić, Igor (AUTHOR), Skrabulis, Martynas (AUTHOR), Eichenberger, Michael (AUTHOR), Marti, Stefano (AUTHOR), Storz, Simon (AUTHOR), Esche, Jonathan (AUTHOR), Bellés, Raquel García (AUTHOR), Kern, Max-Emanuel (AUTHOR), Omahen, Andraz (AUTHOR), Brooks, Arianne (AUTHOR), Bild, Marius (AUTHOR), Fadel, Matteo (AUTHOR), Chu, Yiwen (AUTHOR)
Source: Science. 5/28/2026, Vol. 392 Issue 6801, p972-976. 5p.
Subjects: Quantum computing, Qubits, Quantum information science, Fourier transforms, Acoustic resonators
Abstract: Hybrid quantum systems combine the advantages of different physical platforms with the goal of realizing more powerful quantum information processing devices. Mechanical systems, such as bulk acoustic wave resonators, feature many highly coherent harmonic modes in a compact footprint, complementing the strong nonlinearities and fast operation of superconducting quantum circuits. We developed an architecture for mechanical resonator–based quantum computing in which a superconducting qubit is used to perform quantum gates on a collection of mechanical modes. We demonstrate a universal gate set composed of single-qubit gates and controlled arbitrary-phase gates and showcase their use in the quantum Fourier transform and period-finding algorithms. These results show the potential of using mechanical systems to build crucial components for quantum technologies, such as quantum random-access memories. Editor's summary: Several platforms are being pursued for quantum information processing and quantum computing. Hybrid systems offer the ability to combine the desirable features of various components for improved overall performance. Yang et al. introduce a mechanical-based architecture for universal quantum computing in which a quantum memory unit composed of mechanical modes of an acoustic resonator is operated on by a superconducting qubit processor. The implementation of a universal set of single- and two-qubit gates, along with their use in quantum algorithms, illustrate the potential for mechanical systems as components in quantum technologies. —Ian S. Osborne [ABSTRACT FROM AUTHOR]
Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Mechanical resonator–based quantum computing.
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Yu%22">Yang, Yu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kladarić%2C+Igor%22">Kladarić, Igor</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Skrabulis%2C+Martynas%22">Skrabulis, Martynas</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Eichenberger%2C+Michael%22">Eichenberger, Michael</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marti%2C+Stefano%22">Marti, Stefano</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Storz%2C+Simon%22">Storz, Simon</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Esche%2C+Jonathan%22">Esche, Jonathan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bellés%2C+Raquel+García%22">Bellés, Raquel García</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kern%2C+Max-Emanuel%22">Kern, Max-Emanuel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Omahen%2C+Andraz%22">Omahen, Andraz</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brooks%2C+Arianne%22">Brooks, Arianne</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bild%2C+Marius%22">Bild, Marius</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fadel%2C+Matteo%22">Fadel, Matteo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chu%2C+Yiwen%22">Chu, Yiwen</searchLink> (AUTHOR)
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  Data: Hybrid quantum systems combine the advantages of different physical platforms with the goal of realizing more powerful quantum information processing devices. Mechanical systems, such as bulk acoustic wave resonators, feature many highly coherent harmonic modes in a compact footprint, complementing the strong nonlinearities and fast operation of superconducting quantum circuits. We developed an architecture for mechanical resonator–based quantum computing in which a superconducting qubit is used to perform quantum gates on a collection of mechanical modes. We demonstrate a universal gate set composed of single-qubit gates and controlled arbitrary-phase gates and showcase their use in the quantum Fourier transform and period-finding algorithms. These results show the potential of using mechanical systems to build crucial components for quantum technologies, such as quantum random-access memories. Editor's summary: Several platforms are being pursued for quantum information processing and quantum computing. Hybrid systems offer the ability to combine the desirable features of various components for improved overall performance. Yang et al. introduce a mechanical-based architecture for universal quantum computing in which a quantum memory unit composed of mechanical modes of an acoustic resonator is operated on by a superconducting qubit processor. The implementation of a universal set of single- and two-qubit gates, along with their use in quantum algorithms, illustrate the potential for mechanical systems as components in quantum technologies. —Ian S. Osborne [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: 5/28/2026
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