How the quest for the quantum computing can help in the fight against cancer

Cancer is one of the great evils of modern world.

Today, the magnetic resonance imagery (MRI) is the way physicians use to diagnose cancer. However, it is slow, time consuming, heavy.

The link shows a technique called “magnetic resonance fingerprint”, a more focused, sensitive scan. But, to guide where to do these scans is a great computational problem, given the myriad of possibilities — it is an optimization problem.

Scientists from Microsoft Quantum Network are using quantum inspired algorithms to help solve this problem. These are algorithms that use the rules of quantum computing, but they run in a simulator, in a traditional computer.

The report talks about the quantum annealing technique to solve optimization problems. Quantum algorithms running on simulators will not capture the real advantages of quantum computers, however, they’ll do it the day the hardware is really ready.

Project Manager on Analytics and Innovation. “Samurai of Analytics”. Passionate about Combinatorial Optimization, Philosophy and Quantum Computing.

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