Silicon Quantum Computing Launches Quantum Twins™ Enabling the Simulation of Quantum Physics and Chemistry - Thailand PR News - [Banking](https://thailandbusinessnews.net/category/banking/) - [Companies](https://thailandbusinessnews.net/category/companies/) - [Economy](https://thailandbusinessnews.net/category/economy/) - [Press Releases](https://thailandbusinessnews.net/category/press-release/) - [PR Newswire](https://thailandbusinessnews.net/pr-newswire-updates/) - [Tech](https://thailandbusinessnews.net/category/tech/) - [Tourism](https://thailandbusinessnews.net/category/tourism/) - [Press Release](https://thailandbusinessnews.net/category/press-release/) # Silicon Quantum Computing Launches Quantum Twins™ Enabling the Simulation of Quantum Physics and Chemistry ##### Up next ![Robin Zeng: Unlocking the Sustainable Energy Era with Zero-Carbon Technology](https://i0.wp.com/mma.prnasia.com/media2/2877087/1.jpg?resize=200%2C110&ssl=1 "Robin Zeng: Unlocking the Sustainable Energy Era with Zero-Carbon Technology") [](https://thailandbusinessnews.net/press-release/robin-zeng-unlocking-the-sustainable-energy-era-with-zero-carbon-technology/) ###### [Robin Zeng: Unlocking the Sustainable Energy Era with Zero-Carbon Technology](https://thailandbusinessnews.net/press-release/robin-zeng-unlocking-the-sustainable-energy-era-with-zero-carbon-technology/) Published on 04 February 2026 ##### Author ##### [ CISION PRNewswire ](https://thailandbusinessnews.net/author/cision/) ##### Tags - [PRNewswire](https://thailandbusinessnews.net/tag/prnewswire/) 15,000 qubit registers patterned on pure silicon with atomic precision provide an unparalleled understanding and ability to model quantum systems SYDNEY, Feb. 5, 2026 /PRNewswire/ — [Silicon Quantum Computing](https://www.sqc.com.au/) ("SQC"), a leader in quantum computing and quantum machine learning, today announced the launch of Quantum Twins, an application-specific quantum simulator designed to accelerate molecule and materials discovery. Built utilizing the company’s atomic-scale semiconductor manufacturing process, Quantum Twins showcases the exceptional precision and already-achieved scalability of SQC’s full-stack approach to quantum computing. Quantum Twins are comprised of large arrays of qubit registers (quantum dots) patterned on pure silicon with 0.13 nanometer (atom level) accuracy. This exquisite precision enables SQC to create custom chips – Quantum Twins – that physically encode direct replicas of the physical systems and chemical interactions that customers wish to analyse and understand. This world-first product provides a pathway to simulation of quantum systems that is impossible for classical computers. Quantum Twins provide an enhanced understanding of quantum interactions. Analysing magnetism, atomic interaction and superconductivity at this scale will pave the way for novel information storage, low power electronics and broad materials discovery. Details on the scientific foundation of this platform were published today in [Nature](https://www.nature.com/articles/s41586-025-10053-7), a system including 15,000 qubit registers. The launch follows a period of rapid expansion in SQC’s manufacturing capabilities. In November 2025, the company demonstrated the ability to pattern 250,000 qubit registers in just eight hours, de-risking the required manufacturing yields and volumes needed to deliver commercial-scale, fault-tolerant quantum computers. As a full-stack company, SQC can design, produce and test new quantum chips in under a week. It’s one of the many key advantages of the company’s [14|15 platform](https://www.sqc.com.au/qubits) in the race to deliver the world’s first commercial scale quantum computer. SQC’s Founder and CEO, Michelle Simmons, said: "Quantum Twins represents a window into the quantum world that customers can use for materials discovery today. The enabler is that we can engineer hundreds of thousands of qubit registers with atomic precision. It’s an incredible achievement in semiconductor manufacturing with sub-nanometer accuracy." SQC’s Chair and former ARM CEO, Simon Segars, added: "Expanding our product offering with the launch of Quantum Twins brings SQC’s atomic-scale advantage to the global materials and chemistry sectors. Having demonstrated commercial success with our quantum machine learning system, Watermelon, SQC’s latest offering is a definitive signal of our world leading manufacturing precision and scalability." SQC debuted its [multi-qubit, multi-register processor](https://www.sqc.com.au/news/sqc-establishes-leadership-in-silicon-modality) last month with industry-leading fidelities up to 99.99% and performance that improves as the system scales. The company recently progressed to Stage B of DARPA’s Quantum Benchmarking Initiative and its quantum machine learning system, Watermelon, is already delivering impact across a variety of sectors including [telecommunications](https://www.telstra.com.au/aboutus/media/media-releases/Telstra-SQC-quantum-network) and [defence](https://www.defence.gov.au/news-events/releases/2025-08-25/defence-backs-local-next-generation-innovation). Quantum Twins are now available via direct contract with SQC. For more information, visit [www.sqc.com.au](https://www.sqc.com.au/). About Silicon Quantum Computing Silicon Quantum Computing ("SQC") is at the forefront of global efforts to build a commercial-scale quantum system. Leveraging over 25 years of technological excellence and delivery, SQC’s proprietary machines and processes allow the company to see and control matter atom-by-atom. SQC’s atomically engineered quantum machine learning chips and universal quantum computing systems have demonstrated world-leading algorithmic fidelity, positioning the company at the forefront of quantum innovation. Controlling its own QPU manufacturing means that SQC can design, produce and test new systems every week while delivering quantum machine learning and simulation systems to customers today. The company was founded in 2017 and is headquartered in Sydney, Australia. Media ContactNoah Bethke, Head of Media & Public RelationsSilicon Quantum Computing [Source link ](http://www.prnasia.com/story/archive/4878239_AE78239_0?rand=89749) ``` This content was prepared by our news partner, Cision PR Newswire. The opinions and the content published on this page are the author’s own and do not necessarily reflect the views of Siam News Network ``` ##### You May Also Like [](https://thailandbusinessnews.net/press-release/webull-to-release-first-quarter-2026-results-on-may-21-2026/) ## Webull to Release First Quarter 2026 Results on May 21, 2026 ST. 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