Researchers from the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, Northeastern University, Google Quantum AI, and the University of Texas at Austin have developed a new quantum computing algorithm that could expand the range of problems future quantum computers are capable of solving.
The algorithm, known as the quantum Hermite transform (QHT), introduces a new “quantum primitive”, a fundamental computational building block that researchers say could improve how quantum computers process data, simulate physical systems, and support emerging applications such as artificial intelligence (AI). The team presented its findings at the 58th Annual ACM Symposium on Theory of Computing (STOC 2026) in Salt Lake City.
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