{"id":19775,"date":"2026-03-19T11:26:35","date_gmt":"2026-03-19T11:26:35","guid":{"rendered":"https:\/\/ideainthebox.com\/index.php\/2026\/03\/19\/a-5-million-prize-awaits-proof-that-quantum-computers-can-solve-health-care-problems\/"},"modified":"2026-03-19T11:26:35","modified_gmt":"2026-03-19T11:26:35","slug":"a-5-million-prize-awaits-proof-that-quantum-computers-can-solve-health-care-problems","status":"publish","type":"post","link":"https:\/\/ideainthebox.com\/index.php\/2026\/03\/19\/a-5-million-prize-awaits-proof-that-quantum-computers-can-solve-health-care-problems\/","title":{"rendered":"A $5 million prize awaits proof that quantum computers can solve health care problems"},"content":{"rendered":"
\n
<\/div>\n

I\u2019m standing in front of a quantum computer built out of atoms and light at the UK\u2019s National Quantum Computing Centre on the outskirts of Oxford. On a laboratory table, a complex matrix of mirrors and lenses surrounds a Rubik\u2019s Cube\u2013size cell where 100 cesium atoms are suspended in grid formation by a carefully manipulated laser beam.\u00a0<\/p>\n

The cesium atom setup is so compact that I could pick it up, carry it out of the lab, and put it on the backseat of my car to take home. I\u2019d be unlikely to get very far, though. It\u2019s small but powerful\u2014and so it\u2019s very valuable. Infleqtion, the Colorado-based company that owns it, is hoping the machine\u2019s abilities will win $5 million next week, at an event to be held in Marina del Rey, California.\u00a0<\/p>\n

Infleqtion is one of six teams that have made it to the final stage of a 30-month-long quantum computing competition called Quantum for Bio (Q4Bio). Run by the nonprofit Wellcome Leap, it aims to show that today\u2019s quantum computers, though messy and error-prone<\/a> and far from the large-scale machines engineers hope to build, could actually benefit human health. Success would be a significant step forward in proving the worth of quantum computers. But for now, it turns out, that worth seems to be linked to harnessing and improving the performance of conventional (also called classical) computers in tandem, creating a quantum-classical hybrid that can exceed what\u2019s possible on classical machines by themselves.<\/p>\n

There are two prize categories. A prize of $2 million will go to any and all teams that can run a significantly useful health care algorithm on computers with 50 or more qubits (a qubit is the basic processing unit in a quantum computer). To win the $5 million grand prize, a team must successfully run a quantum algorithm that solves a significant real-world problem in health care, and the work must use 100 or more qubits. Winners have to meet strict performance criteria, and they must solve a health care problem that can\u2019t be solved with conventional computers\u2014a tough task.<\/p>\n

Despite the scale of the challenge, most of the teams think some of this money could be theirs. \u201cI think we\u2019re in with a good shout,\u201d says Jonathan D. Hirst, a computational chemist at the University of Nottingham, UK. \u201cWe\u2019re very firmly within the criteria for the $2 million prize,\u201d says Stanford University\u2019s Grant Rotskoff, whose collaboration is investigating the quantum properties of the ATP molecule that powers biological cells.\u00a0<\/p>\n

The grand prize is perhaps less of a sure thing. \u201cThis is really at the very edge of doable,\u201d Rotskoff says. Insiders say the challenge is so difficult, given the state of quantum computing technology, that much of the money could stay in Wellcome Leap\u2019s account.\u00a0<\/p>\n

With most of the Q4Bio work unpublished and protected by NDAs, and the quantum computing field already rife with claims and counterclaims about performance and achievements, only the judges will be in a position to decide who\u2019s right.\u00a0<\/p>\n

A hybrid solution<\/strong><\/h3>\n

The idea behind quantum computers is that they can use small-scale objects that obey the laws of quantum mechanics, such as atoms and photons of light,\u00a0 to simulate real-world processes too complex to model on our everyday classical machines.\u00a0<\/p>\n

Researchers have been working for decades to build such systems, which could deliver insights for creating new materials, developing pharmaceuticals, and improving chemical processes such as fertilizer production.\u00a0 But dealing with quantum stuff like atoms is excruciatingly difficult. The biggest, shiniest applications require huge, robust machines capable of withstanding the environmental \u201cnoise\u201d that can very easily disrupt delicate quantum systems. We don\u2019t have those yet\u2014and it\u2019s unclear when we will.\u00a0<\/p>\n

Wellcome Leap wanted to find out if the smaller-scale machines we have today can be made to do something\u2014anything\u2014useful for health care while we wait for the era of powerful, large-scale quantum computers. The group started the competition in 2024, offering $1.5 million in funding to each group of 12 selected teams.<\/p>\n

The six Q4Bio finalists have taken a range of approaches. Crucially, they\u2019ve all come up with ingenious ways to overcome quantum computing\u2019s drawbacks. Faced with noisy, limited machines<\/a>, they have learned how to outsource much of the computational load to classical processors running newly developed algorithms that are, in many cases, better than the previous state of the art. The quantum processors are then required only for the parts of the problem where classical methods don\u2019t scale well enough as the calculation gets bigger.<\/p>\n

For example, a team led by Sergii Strelchuk of Oxford University is using a quantum computer to map genetic diversity among humans and pathogens on complex graph-based structures. These will\u2014the researchers hope\u2014expose hidden connections and potential treatment pathways. \u201cYou can think about it as a platform for solving difficult problems in computational genomics,\u201d Strelchuk says.\u00a0<\/p>\n

The corresponding classical tools struggle with even modest scale-up to large databases. Strelchuk\u2019s team has built an automated pipeline that provides a way of determining whether classical solvers will struggle with a particular problem, and how a quantum algorithm might be able to formulate the data so that it becomes solvable on a classical computer or handleable on a noisy quantum one. \u201cYou can do all this before you start spending money on computing,\u201d Strelchuk says.<\/p>\n

In collaboration with Cleveland Clinic, Helsinki-based Algorithmiq has used a superconducting quantum computer built by IBM to simulate a cancer drug that is triggered by specific types of light. \u201cThe idea is you take the drug, and it\u2019s everywhere in your body, but it\u2019s doing nothing, just sitting there, until there\u2019s light on it of a certain wavelength,\u201d says Guillermo Garc\u00eda-P\u00e9rez, Algorithmiq\u2019s chief scientific officer. Then it acts as a molecular bullet, attacking the tumor only at the location in the body where that light is directed.\u00a0<\/p>\n

The drug with which Algorithmiq began its work is already in phase II clinical trials for treating bladder cancers. The quantum-computed simulation, which adapts and improves on classical algorithms, will allow it to be redesigned for treating other conditions. \u201cIt has remained a niche treatment precisely because it can\u2019t be simulated classically,\u201d says Sabrina Maniscalco, Algorithmiq\u2019s CEO and cofounder.\u00a0<\/p>\n

Maniscalco, who is also confident of walking away from the competition with prize money, believes the methods used to create the algorithm will have wide applications:\u00a0 \u201cWhat we\u2019ve done in the period of the Q4Bio program is something unique that can change how to simulate chemistry for health care and life sciences.\u201d<\/p>\n

Infleqtion\u2019s entry, running on its cesium-powered machine, is an effort to improve the identification of cancer signatures in medical data. Together with collaborators at the University of Chicago and MIT, the company\u2019s scientists have developed a quantum algorithm that mines huge data sets such as the Cancer Genome Atlas.\u00a0<\/p>\n

The aim is to find patterns that allow clinicians to determine factors such as the likely origin of a patient\u2019s metastasized cancer. \u201cIt\u2019s very important to know where it came from because that can inform the best treatment,\u201d says Teague Tomesh, a quantum software engineer who is Infleqtion\u2019s Q4Bio project lead.<\/p>\n

Unfortunately, those patterns are hidden inside data sets so large that they overwhelm classical solvers. Infleqtion uses the quantum computer to find correlations in the data that can reduce the size of the computation. \u201cThen we hand the reduced problem back to the classical solver,\u201d Teague says. \u201cI\u2019m basically trying to use the best of my quantum and my classical resources.\u201d<\/p>\n

The Nottingham-based team, meanwhile, is using quantum computing to nail down a drug candidate that can cure myotonic dystrophy, the most common adult-onset form of muscular dystrophy. One member of the team, David Brook, played a role in identifying the gene behind this condition in 1992. Over 30 years later, Brook, Hirst, and the others in their group\u2014which includes QuEra, a Boston company developing a quantum computer based on neutral atoms\u2014has now quantum-computed a way in which drugs can form chemical bonds with the protein that brings on the disease, blocking the mechanism that causes the problem.<\/p>\n

Low expectations\u00a0<\/strong><\/h3>\n

The entrants\u2019 confidence might be high, but Shihan Sajeed\u2019s is much lower. Sajeed, a quantum computing entrepreneur based in Waterloo, Ontario, is program director for Q4Bio. He believes the error-prone quantum machines the researchers must work with are unlikely to deliver on all the grand prize criteria. \u201cIt is very difficult to achieve something with a noisy quantum computer that a classical machine can\u2019t do,\u201d he says.<\/p>\n

That said, he has been surprised by the progress. \u201cWhen we started the program, people didn\u2019t know about any use cases where quantum can definitely impact biology,\u201d he says. But the teams have found promising applications, he adds: \u201cWe now know the fields where quantum can matter.\u201d\u00a0<\/p>\n

And the developments in \u201chybrid quantum-classical\u201d processing that the entrants are using are \u201ctransformational,\u201d Sajeed reckons.<\/p>\n

Will it be enough to make him part with Wellcome Leap\u2019s money? That\u2019s down to a judging panel, whose members\u2019 identities are a closely guarded secret to ensure that no one tailors their presentation to a particular kind of approach. But we won\u2019t know the outcome for a while; the winner, or winners, will be announced in mid-April.\u00a0<\/p>\n

If it does turn out that there are no winners, Sajeed has some words of comfort for the competitors. The goal has always been about running a useful algorithm on a machine that exists today, he points out; missing the mark doesn\u2019t mean your algorithm won\u2019t be useful on a future quantum computer. \u201cIt just means the machine you need doesn\u2019t exist yet.\u201d<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

I\u2019m standing in front of a quantum computer built out […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[226],"tags":[],"class_list":["post-19775","post","type-post","status-publish","format-standard","hentry","category-technology"],"acf":[],"_links":{"self":[{"href":"https:\/\/ideainthebox.com\/index.php\/wp-json\/wp\/v2\/posts\/19775","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ideainthebox.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ideainthebox.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ideainthebox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ideainthebox.com\/index.php\/wp-json\/wp\/v2\/comments?post=19775"}],"version-history":[{"count":0,"href":"https:\/\/ideainthebox.com\/index.php\/wp-json\/wp\/v2\/posts\/19775\/revisions"}],"wp:attachment":[{"href":"https:\/\/ideainthebox.com\/index.php\/wp-json\/wp\/v2\/media?parent=19775"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ideainthebox.com\/index.php\/wp-json\/wp\/v2\/categories?post=19775"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ideainthebox.com\/index.php\/wp-json\/wp\/v2\/tags?post=19775"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}