A $100 million bet on quantum computing at Cleveland Clinic

Cleveland Clinic brought a powerful new tool online with a build mirroring human gestation; Dr. Lara Jehi, the Clinic’s chief research information officer, explicitly compared the nine-month construction of the IBM quantum computer to “how long it takes to have a baby.” Housed within an 11-foot-tall glass cube designed to eliminate external vibrations, the system is the result of a 10-year, $100 million partnership intended to accelerate medical research. The work of Jehi and her team is up for this year’s Gordon Bell Prize, considered the “Nobel” of supercomputing.

IBM Quantum System Installation at Cleveland Clinic

The IBM quantum computer at Cleveland Clinic required nine months for construction, a timeframe Dr. Lara Jehi explicitly frames by saying, “Like all babies, it’s going to evolve and we will figure out things with it that we had no idea we could.” This deliberate parallel to human gestation underscores the complex, developmental nature of establishing such a sophisticated system within a clinical setting. The extended build time reflects the intricate calibration and environmental controls necessary for stable quantum operation, moving beyond theoretical potential to practical application.

An 11-foot-tall glass cube encases the quantum computer, designed specifically to absorb vibrations originating from nearby traffic, demonstrating the extreme sensitivity of the machine to external disturbances. Maintaining this level of environmental isolation is critical; even minute vibrations can disrupt the delicate quantum states of the qubits, compromising computational accuracy.

The system’s location within the employee cafeteria at the Lerner Research Institute was a deliberate choice by Jehi, intended to foster cross-disciplinary interaction and inspire novel research applications, IBM says. “Some magic happens in there,” remarked Vipin Chaudhary, chair of the computer science department at Case Western Reserve University, acknowledging the unique environment and potential for innovation. The decade-long, $100 million partnership between Cleveland Clinic and IBM signifies a substantial financial commitment to advancing quantum computing within healthcare.

This investment supports not only the hardware installation but also the ongoing research efforts led by Dr. Jehi and her team, focused on applying quantum capabilities to complex medical challenges. Jehi, a practicing neurologist, balances patient care with overseeing research utilizing this technology, highlighting the integration of advanced computing with direct clinical practice.

She expressed confidence in overcoming technical hurdles, stating, “Quantum has become a national priority,” and emphasizing the urgency driving the field forward. “I’m raising it so that it can do good in the world,” Jehi added, outlining her vision for the quantum computer’s impact on patient care and medical innovation, while acknowledging, “The future with it is still to be charted.”

It took nine months to build it. That’s how long it takes to have a baby.

Quantum Computing Applications in Drug Discovery & Research

This achievement demonstrates a practical application of quantum computing within a healthcare setting, moving beyond theoretical potential to tangible results in complex molecular analysis. Maintaining the quantum computer’s operational state requires extreme precision; the IBM chip must be cooled to nearly absolute zero, or minus 460 degrees Fahrenheit, to preserve the delicate quantum state necessary for computation. Despite these challenges, progress is rapid; Chaudhary noted, “it is amazing how far we have come,” reflecting the accelerating pace of development in quantum hardware and software.

The system’s ability to perform ultra-high-accuracy calculations of drug molecules binding to receptors is a key area where quantum computing offers a distinct advantage over classical methods. The Trump administration this summer issued an executive order requiring error-free quantum computing to be up and running in the U.S. government by 2028, framing the technology as a critical component of national competitiveness.

Jehi, who also serves on a federal sub-committee examining quantum applications in life science research, has observed that quantum computing currently functions most effectively in conjunction with traditional, or ‘classical’ computers when addressing complex problems. The Clinic’s approach, integrating quantum capabilities with existing infrastructure, reflects a pragmatic strategy for realizing the technology’s potential in the near term.

Like all babies, it’s going to evolve and we will figure out things with it that we had no idea we could.

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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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