Scientists uncover why quantum computer errors refuse to fade- - Interesting Engineering

Understand this faster with AI
From daily news and career tips to monthly insights on AI, sustainability, software, 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. New research shows quantum computer errors don’t vanish — they linger, link across time, and challenge key assumptions. Quantum computers may look futuristic, but inside them, tiny mistakes are quietly piling up and remembering each other. A new breakthrough by Australian and international scientists shows that errors inside quantum machines are not just fleeting glitches. They can persist, evolve, and even connect across time, creating a hidden memory that undermines today’s assumptions about how quantum systems behave. This is the first time researchers have been able to reconstruct a complete, time-resolved picture of how errors unfold inside a working quantum computer. The advance could reshape how scientists design, diagnose, and ultimately fix future quantum machines. The work was led by Dr Christina Giarmatzi from Macquarie University and focused on understanding why quantum computers remain so fragile despite rapid advances in hardware. “We can think of it as quantum computers retaining memory of the errors, which can be classical or quantum depending on the way these errors are linked,” says Dr Giarmatzi. One of the most surprising findings is that many quantum protocols assume machines are “memoryless,” meaning past errors do not influence future ones. “A lot of quantum protocols assume quantum computers have no such memory (known as Markovian) but that’s simply not true.” Instead, the team found that errors can remain correlated across multiple moments in time, a phenomenon known as non-Markovian noise. This kind of behavior is a major obstacle to scaling up quantum computers for real-world use. “We’ve been able to reconstruct the entire evolution of a quantum process across multiple points in time — something that hasn’t been done before,” Dr Giarmatzi said. “It lets us see not only when noise happens, but how it carries through time.” The experiments were carried out on advanced superconducting quantum processors, both in laboratories at the University of Queensland and through IBM’s cloud-based quantum computers. Until now, one key challenge blocked progress: measuring a quantum system mid-experiment typically collapses its state, making it impossible to reset cleanly for the next step. The researchers solved this by assuming that half the time the measurement outcome was 0 and half the time it was 1, then using software to work backward and reconstruct the system’s prior state. “The hardware could do it,” said co-author Dr Fabio Costa from Nordita in Stockholm. “What we figured out was how to actually prepare the system after a mid-circuit measurement.” Using this approach, the team uncovered subtle but critical time-linked noise patterns, including quantum noise caused by interactions between neighboring qubits on the same chip. Understanding these patterns could help scientists build better error-correction tools, a crucial step toward fault-tolerant quantum computing. “It’s rewarding when theoretical models can be brought to life on real hardware,” said Tyler Jones, who worked on the project as a PhD student at the University of Queensland. “Robust characterisation of time correlations in quantum systems is needed on the path to building powerful quantum machines.” The researchers have made their data and code openly available, offering the global quantum community new tools to tackle one of the field’s hardest problems, with the full study published in Quantum. 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. 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.
Tags
Source Information
Discussion
0 professional contributions
Sign in to join this professional discussion.
Be the first to add a constructive contribution.
