When Will Quantum Computing Deliver On Its Promise Npr

Bonisiwe Shabane
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when will quantum computing deliver on its promise npr

Governments and tech companies continue to pour money into quantum technology in the hopes of building a supercomputer that can work at speeds we can't yet fathom to solve big problems. Imagine a computer that could solve incredibly complex problems at a speed we can't yet fathom and bring about breakthroughs in fields like drug development or clean energy. That is widely considered the promise of quantum computing. In 2025, tech companies poured money into this field. The Trump administration also named quantum computing as a priority. But when will this technology actually deliver something useful for regular people?

NPR's Katia Riddle reports on the difference between quantum hype and quantum reality. KATIA RIDDLE, BYLINE: Tech companies like Google and Microsoft, as well as the U.S. government, bet big on quantum computing in 2025. UNIDENTIFIED PERSON #1: Google Quantum AI is unveiling the first demonstration of verifiable quantum advantage. PRESIDENT DONALD TRUMP: Joining forces on quantum computing. For much of US science, 2025 was a year of cancelled grants and budget anxiety — but a few fortunate fields came out ahead.

Since President Donald Trump took office in January, artificial intelligence and quantum-information science have sat at the top of his administration’s scientific priorities. And they don’t seem to be leaving any time soon. Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription Receive 51 print issues and online access Prices may be subject to local taxes which are calculated during checkout

NPR Technology News: When will quantum computing deliver on its promise? Governments and tech companies continue to pour money into quantum technology in the hopes of building a supercomputer that can work at speeds we can't yet fathom to solve big problems. 📰 Read more on NPR at https://n.pr/45fdRKc New machines will use individual atoms as qubits The goal of the quantum-computing industry is to build a powerful, functional machine capable of solving large-scale problems in science and industry that classical computing can’t solve. We won’t get there in 2026.

In fact, scientists have been working toward that goal since at least the 1980s, and it has proved difficult, to say the least. “If someone says quantum computers are commercially useful today, I say I want to have what they’re having,” said Yuval Boger, chief commercial officer of the quantum-computing startup QuEra, on stage at the Q+AI... This article is part of our special report Top Tech 2026. Because the goal is so lofty, tracking its progress has also been difficult. To help chart a course toward truly transformative quantum technology and mark milestones along the path, the team at Microsoft Quantum has come up with a new framework. Artistic illustration of a colorful atomic particles.

NASA/NASA hide caption This year, quantum science and computing came up a lot. There have been broad claims that quantum science and engineering could one day help cure diseases, design new materials, optimize supply chains -- or help in other ways not yet fathomable. And, while the Trump administration has made strides to cut scientific funding, quantum research is one of two things they've pledged to continue investing in – along with artificial intelligence. Meanwhile, scientists have been hard at work, pushing the research to move quantum engineering from sci-fi to real-world usefulness. All of this got science correspondent Katia Riddle wondering: When will all of this effort actually pay off?

She talked to a lot of scientists to figure it out -- and to figure out how much scientist really understand about quantum science. She brings everything she learned onto the show today. To hear more Short Wave reporting on quantum clocks, check out this episode: Quantum Mechanics For Beginners Interested in more quantum science? Email us your question at shortwave@npr.org. Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave.

Brahima Sangafowa Coulibaly, Marcela Escobari, Homi Kharas, Pierre Nguimkeu, Jennifer L. O’Donoghue, Zia Qureshi, Landry Signé, Rebecca Winthrop

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