These researchers seek to quiet ‘the noise’ in quantum computing - Northeastern Global News

Quantum computers are poised to transform the world – enabling everything from advancements in drug discovery and material science to breakthroughs in supply chain routing and financial risk modeling. Yet the cutting edge technology is fragile and can be difficult to deploy, explained Ivana Dimitrova, a professor of physics and electrical engineering at Northeastern University. That’s partly because a single quantum computing machine today is too “ small and noisy” to process the hundreds of thousands of qubits — the units of information built from individual particles such as atoms, ions and photons — that power these machines to solve real challenges, Dimitoriva said. One solution is linking quantum computing processors together to share their power in a process known as modular quantum computing. It’s a model that’s taken the quantum computing industry by storm in recent years, Dimitrova said, but it is similarly plagued with its own computational challenges. For instance, the links between the processors can be slow and have their own data interference issues. 02/04/25 – BOSTON, MA. – Hessam Mahdavifar, associate professor, speaks during the WIoT Forum: Toward Open 6G Networks event, held in East Village 17th floor on Northeastern’s Boston campus on Feb 4, 2025. Photo by Matthew Modoono/Northeastern University 01/24/25 – BURLINGTON, MA. – Ivana Dimitrova, assistant professor of physics, poses for a portrait at the Innovation Campus in Burlington on Jan. 24, 2025. Photo by Matthew Modoono/Northeastern University Hessam Mahdavifar and Ivana Dimitrova are working together on making modular quantum computing systems less error prone. Photos by Matthew Modoono/Northeastern University Now, with support from the U.S. the Department of Energy, Dimitrova and Hessam Mahdavifar, a Northeastern electrical and computer engineering professor, will spend the next two years working to address those issues head on by developing algorithms to make modular quantum computing systems more reliable. For the two-year project, the team will look to reduce the impact of noise — errors and unwanted interference — that occurs in the physical links that connect quantum computing machines together as well as in the quantum computing processors themselves. These researchers are demystifying oobleck, Dr. Seuss’s ‘green goo’Meet the researcher who thinks plants could help save the worldTrack star sets Guatemalan running record, aims for OlympicsResearchers aim to keep New England seafood local from boat to plateDoctor who studies sudden death weighs in on Lindsey Graham’s passing They will do this by creating specialized software to identify errors in the system and correct for them. The goal is to provide those tools to the quantum computing community so it can use these systems to solve large-scale optimization problems. “Our project addresses how to make many of these smaller quantum processors work together in a reliable error-free fashion,” Mahdavifar said. Mahdavifar will work on writing the code and testing out its reliability using simulation software. Dimitrova will work on the hardware side, integrating Mahdaviar’s software algorithm in an actual machine for further testing. “In the first year, we’ll focus on designing the error-correction codes themselves: figuring out mathematically what codes to use and how to most efficiently split a code across modules,” she said. “In the second year, we will test these codes against realistic models, to make sure what looks good on paper actually holds up on real, imperfect qubits.” Mahdavifar said he is hopeful this research will unlock new areas of innovation in the quantum computing field, particularly in use cases for the development of artificial intelligence technologies. “Quantum together with AI are the enabling technologies of the future,” he said. “We are very excited about this project and the prospect to develop practical solutions to enable these technologies.” Northeastern Global News, in your inbox.Sign up for NGN’s daily newsletter for news, discovery and analysis from around the world. This AI scientist can run experiments. Self-driving labs coming next AI has been stepping out of bounds. Should you be worried? Inside the growing US effort to block Chinese AI hardware A deal may resolve the Strait of Hormuz, but not the war Sony’s brand new bet on ‘Brand New Day’ Why is it so difficult to sing the U.S. national anthem?