MIT launches quantum fellowships with Moore Foundation support

This fall, the first QMIT Fellows will arrive at MIT, establishing a new postdoctoral program designed to connect quantum research with diverse fields. Supported by a grant from the Gordon and Betty Moore Foundation, the initiative aims to accelerate discovery and address challenges in areas from computation to national security.

“Some of the most exciting breakthroughs will come from researchers who combine deep expertise in quantum with new perspectives from other fields,” says Danna Freedman, faculty director of QMIT. The fellowships will cultivate early-career researchers working across physics, chemistry, and biological sciences within MIT’s extensive quantum ecosystem.

QMIT Fellowship Program Launches to Cultivate Quantum Leaders

This initiative directly addresses a growing need for specialized expertise as quantum science expands beyond theoretical work and into practical applications across multiple disciplines. Anantha Chandrakasan, MIT provost and the Vannevar Bush Professor of Electrical Engineering and Computer Science, emphasizes the timing of this investment; “Quantum science and technology is in a period of extraordinary opportunity, opening new pathways to solving problems across computation, materials, sensing, and communication.” Programs like this help MIT attract outstanding researchers whose ideas will shape the future of the field.

The QMIT Fellowship specifically targets applicants with backgrounds in physics, chemistry, materials science, and biological or Earth sciences, prioritizing those who demonstrate a willingness to integrate quantum principles with other fields of study. This interdisciplinary approach reflects a deliberate effort to move beyond isolated research and accelerate innovation.

Danna Freedman, the Frederick George Keyes Professor of Chemistry and faculty director of QMIT, highlights the importance of cross-pollination between disciplines. “Quantum science is becoming increasingly interdisciplinary,” she says, explaining that this fellowship is designed to create those kinds of opportunities. Fellows will be integrated into existing research areas including quantum computing, sensing, materials, simulation, and networks, with opportunities to explore emerging combinations of quantum science and artificial intelligence.

They will collaborate with researchers at MIT Lincoln Laboratory, the Research Laboratory of Electronics, and various departments and centers across the Institute. Ian Waitz, MIT’s vice president for research and the head of QMIT, predicts a rapid acceleration of quantum capabilities in the coming years.

“Quantum research, in the next few years and across a wide range of domains, is going to make the impossible possible,” Waitz states. The QMIT fellowship program is an investment in outstanding postdoctoral scholars who will help bring new quantum capabilities to unforeseen, creative, and transformative applications in science and technology.

Applications for the next cohort of fellows will open in fall 2026, signaling MIT’s commitment to building a sustained community of interdisciplinary quantum researchers.

Quantum research, in the next few years and across a wide range of domains, is going to make the impossible possible.

Ian Waitz, MIT’s vice president for research and the head of QMIT
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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