https://phys.org/news/2025-01-silicon-quantum-dots-chip-electronics.html Phys.org Topics * Week's top * Latest news * Unread news * Subscribe [ ] Science X Account [ ] [ ] [*] Remember me Sign In Click here to sign in with or Forget Password? Not a member? Sign up Learn more * Nanotechnology * Physics * Earth * Astronomy & Space * Chemistry * Biology * Other Sciences * Medical Xpress Medicine * Tech Xplore Technology [INS::INS] * * share this! * 114 * Twit * Share * Email 1. Home 2. Physics 3. Quantum Physics * * * --------------------------------------------------------------------- January 23, 2025 feature The GIST Editors' notes This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: fact-checked peer-reviewed publication trusted source proofread Study demonstrates integration of 1,024 silicon quantum dots with on-chip electronics all operating at low temperatures by Ingrid Fadelli , Phys.org The integration of 1,024 silicon quantum dots with on-chip electronics all operating at low temperatures Measurement of a 1,024 QD farm. a) Schematic of a three-dimensional render of the 1:1,024 MUX, with analog access (green, VD; pink, VG; yellow, VS) to each QD device controlled by row-column addressing (red and blue wires). b) Schematic of the cross-section of a single transistor along the direction of current flow, showing a QD (purple) below the gate and between the drain and source. c) Example of a two-dimensional map showing a normalized device response as a function of the drain-source and gate-source voltages. Credit: Nature Electronics (2025). DOI: 10.1038/s41928-024-01304-y Quantum computers have the potential of outperforming classical computers on some optimization tasks. Yet scaling up quantum computers leveraging existing fabrication processes while also maintaining good performances and energy-efficiencies has so far proved challenging, which in turn limits their widespread adoption. Researchers at Quantum Motion in London recently demonstrated the integration of 1,024 independent silicon quantum dots with on-chip digital and analog electronics, to produce a quantum computing system that can operate at extremely low temperatures. This system, outlined in a paper published in Nature Electronics, links properties of devices at cryogenic temperatures with those observed at room temperature, opening new possibilities for the development of silicon qubit-based technologies. "As quantum processors grow in complexity, new challenges arise such as the management of device variability and the interface with supporting electronics," Edward J. Thomas, Virginia N. Ciriano-Tejel and their colleagues wrote in their paper. "Spin qubits in silicon quantum dots can potentially address these challenges given their control fidelities and potential for compatibility with large-scale integration. We report the integration of 1,024 independent silicon quantum dot devices with on-chip digital and analog electronics, all operating below 1 K." Quantum dots are nanoscale semiconductor-based structures that can be used to confine and manipulate single electrons. These structures have proved promising for the development of quantum technologies relying on spin qubits (i.e., qubits that store information by leveraging the spin of electrons). [INS::INS] Thomas, Ciriano-Tejel and their colleagues created a system that operates at extremely low temperatures, combining 1,024 silicon-based quantum dots with on-chip electronics. To rapidly characterize all the quantum dots in this system, they used a technique known as radio frequency (RF) reflectometry. "A high-frequency analog multiplexer provides fast access to all devices with minimal electrical connections, allowing characteristic data across the quantum dot array to be acquired and analyzed in under 10 min," wrote Thomas, Ciriano-Tejel and their colleagues. "This is achieved by leveraging radio-frequency reflectometry with state-of-the-art signal integrity, characterized by a typical signal-to-noise voltage ratio in excess of 75 for an integration time of 3.18 ms." The researchers also developed new tools that can be used to extract information about the performance of quantum dots and assess their potential for integration in quantum technologies. These tools could be used to assess other types of quantum dot-based systems, including systems with coupled quantum dots, which are the basis of existing semiconductor-based quantum computers. "We extract key quantum dot parameters by automated machine learning routines to assess quantum dot yield and understand the impact of device design," wrote the researchers. "We find correlations between quantum dot parameters and room-temperature transistor behavior that could be used as a proxy for in-line process monitoring." Notably, the researchers observed that the cryogenic parameters of silicon quantum dots can be predicted from room-temperature behavior. This finding could have interesting implications for the future development of quantum technologies, as it could help to reduce the time and resources necessary to optimize these technologies. "Further development of pre-cryogenic methods and analysis tools could allow wider industry engagement and a substantial cost reduction in technology development, particularly if further correlations can be extracted when complex unit cells are studied," wrote the authors. More information: Edward J. Thomas et al, Rapid cryogenic characterization of 1,024 integrated silicon quantum dot devices, Nature Electronics (2025). DOI: 10.1038/s41928-024-01304-y Journal information: Nature Electronics (c) 2025 Science X Network Citation: Study demonstrates integration of 1,024 silicon quantum dots with on-chip electronics all operating at low temperatures (2025, January 23) retrieved 29 January 2025 from https://phys.org/ news/2025-01-silicon-quantum-dots-chip-electronics.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. 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This advancement in quantum computing uses radio frequency reflectometry for rapid characterization, achieving a high signal-to-noise ratio. The study highlights the potential of silicon spin qubits for large-scale integration and suggests room-temperature behavior can predict cryogenic parameters, aiding in technology optimization. This summary was automatically generated using LLM. Full disclaimer Let us know if there is a problem with our content Use this form if you have come across a typo, inaccuracy or would like to send an edit request for the content on this page. For general inquiries, please use our contact form. For general feedback, use the public comments section below (please adhere to guidelines). 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