Quantum Computing Could Turbocharge Healthcare Analytics & Imaging
The healthcare industry will need to build a new set of applications to take advantage of quantum computing. Those costs won’t account for the cost of the hardware and the operating costs to cool the systems and keep them operational.
Quantum computing could provide unprecedented power and speed of processing as well as novel and fundamentally different algorithmic search and data homogenization strategies. “The exponential computing speedup offered by quantum computers will enable machine learning algorithms to rapidly identify patterns in healthcare data collected from millions of participating patients,” Mario Milicevic, an IEEE member and staff communication systems engineer at MaxLinear.
He explained medical imaging and pathology would likely be the first to benefit, as quantum computers could be used to train machine learning algorithms with more classifiers to identify diseases in a fraction of the time that it takes today.
From a clinical healthcare perspective alone, the quantum computing technology could lead to “dramatic” accelerations in speed and performance. Targeted chemotherapy protocols can be identified more quickly, and with more customization, with quantum computing’s enhanced data processing abilities.