Northeastern Researchers Build 2-Year Algorithms to Cut Noise in Modular Quantum Computing
Updated
Updated · Northeastern University · Aug 7
Northeastern Researchers Build 2-Year Algorithms to Cut Noise in Modular Quantum Computing
2 articles · Updated · Northeastern University · Aug 7
Summary
A U.S. Department of Energy-backed Northeastern team will spend two years developing algorithms and software to detect and correct errors in modular quantum computing systems.
The project targets noise in both the physical links connecting processors and the processors themselves, a key obstacle because today’s single machines are too small and noisy for hundreds of thousands of qubits.
Hessam Mahdavifar will write and simulate the error-correction code, while Ivana Dimitrova will integrate it into hardware and test whether it holds up on real, imperfect qubits.
Year one will focus on designing and splitting codes across modules; year two will test them against realistic models, with the aim of giving the wider quantum community tools for large-scale optimization problems.
The work reflects a broader push to make modular quantum computing practical enough for applications ranging from drug discovery and materials science to AI development.