Silicon quantum processor achieves full logical operations for the first time - Interesting Engineering
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From daily news and career tips to monthly insights on AI, sustainability, Aerospace, and more—pick what matters and get it in your inbox. Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies. We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. Researchers build silicon quantum chip that runs logical operations with built-in error detection and real algorithms. Chinese researchers have demonstrated a silicon quantum processor capable of performing a full set of error-detecting logical operations, marking a key step toward practical quantum computing.
The team from Shenzhen International Quantum Academy built a device that can process quantum information while checking for errors, something previously shown in platforms like superconducting circuits but not in silicon. Quantum systems are highly sensitive to noise, which introduces errors that can disrupt calculations. One solution is to encode information into logical qubits that can detect and handle such errors. The researchers say their work shows that the essential building blocks for fault-tolerant quantum computing are now achievable in silicon, a material widely used in modern electronics. The processor was created by placing phosphorus atoms into silicon with atomic precision, allowing individual control of quantum bits.
The team also developed methods to reduce signal interference, a major source of error in quantum systems. Using four qubits, the researchers encoded two logical qubits capable of detecting errors during computation. This approach allowed the system to flag unwanted noise that could otherwise affect results. The study demonstrated a complete chain of operations, including preparing error-checked states, performing logical operations, and applying them in an algorithm. To test the system, the team ran a quantum algorithm to calculate the lowest-energy state of a water molecule. The result closely matched the theoretical value, showing the system can handle practical tasks. The researchers used the Variational Quantum Eigensolver to simulate the molecule, achieving results with small deviation from expected values. This indicates the approach could support real-world quantum applications in the future. The work also showed that silicon-based systems can move beyond controlling small numbers of qubits to performing coordinated operations with built-in error detection. Silicon remains a strong candidate for scaling quantum computers because it is already widely used in semiconductor manufacturing, which could help future systems be produced more efficiently.
The team said the next steps include improving precision in atom placement, reducing interference further, and increasing the number of qubits on a single chip. The longer-term goal is to build larger systems that can perform more complex computations while maintaining error control. With over a decade-long career in journalism, Neetika Walter has worked with The Economic Times, ANI, and Hindustan Times, covering politics, business, technology, and the clean energy sector. Passionate about contemporary culture, books, poetry, and storytelling, she brings depth and insight to her writing. When she isn’t chasing stories, she’s likely lost in a book or enjoying the company of her dogs. Exclusive content, expert insights and a deeper dive into engineering and tech. No ads, no limits. Exclusive content, expert insights and a deeper dive into engineering and tech. No ads, no limits. The content we make available on this website [and through our other channels] (the “Service”) was created, developed, compiled, prepared, revised, selected, and/or arranged by us, using our own methods and judgment, and through the expenditure of substantial time and effort. This Service and the content we make available are proprietary, and are protected by these Terms of Service (which is a contract between us and you), copyright laws, and other intellectual property laws and treaties. This Service is also protected as a collective work or compilation under U.S. copyright and other laws and treaties. We provide it for your personal, non-commercial use only. You may not use, and may not authorize any third party to use, this Service or any content we make available on this Service in any manner that (i) is a source of or substitute for the Service or the content; (ii) affects our ability to earn money in connection with the Service or the content; or (iii) competes with the Service we provide. These restrictions apply to any robot, spider, scraper, web crawler, or other automated means or any similar manual process, or any software used to access the Service. You further agree not to violate the restrictions in any robot exclusion headers of this Service, if any, or bypass or circumvent other measures employed to prevent or limit access to the Service by automated means.