IBM and Moderna's research demonstrates the effectiveness of combining quantum and classical computing to predict mRNA secondary structures, which could expedite mRNA medicine development. The collaboration aims to solve complex molecular level interactions that classical computers struggle with, resulting in the potential for quicker and more effective drug development. The approach utilized has set a new standard for solving mRNA structural problems through quantum computing, which may revolutionize life sciences and significantly reduce the time and cost associated with creating new therapies.
One of the biggest challenges when identifying the best candidates for mRNA-based medicines is determining how they will instruct mRNA to fold in the body-a challenging optimization problem that gets harder and harder to solve for larger mRNA sequences, ultimately pushing the limits of even the most advanced classical computers.
By applying an approach that leverages the strengths of both quantum and classical computing, the Moderna and IBM team has set a new record in the scale of mRNA structure problems that quantum computers are able to solve.
Quantum computing holds the promise to help streamline the design of new medicines, while reducing the time and cost scales of bringing new therapies to market.
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