Biological research benefits from the first quantum machine learning study

There have been few examples of a quantum advantage for real-world problems of practical interest

This might change with a demonstration of how a quantum processor could be used as a predictive tool to assess a fundamental process in biology: the binding of gene regulatory proteins to the genome. This is one of the first documented examples in which a physical quantum processor has been applied to real biological data.

The researchers stress that in its current form, the study uses a simplified version of biological data and has a “proof-of-principle nature.” They believe that once quantum processors known as annealers accumulate qubits and have increased processing power, more complex cellular determinants of gene regulation could be encoded into new models that use quantum computers.

This promises a potential convergence with other disciplines that rely on computational strategies including materials science and nanotechnologies.

For more details: Quantum Machine Shows Promise for Biological Research

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