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Easwara Prasad M

Head, Azure Quantum and High-Performance Computing (HPC), TCS

The future is quantum computing, and tech giants and niche startups are betting big on the technology. Leading players are working on multiple architectures to bring quantum computers to market. Meanwhile, enterprises are exploring ways of adopting quantum—they are analyzing concerns, including the point of departure from classical computing, upskilling their human resources, and identifying the right problems for quantum computing.

Viable, commercial quantum computers may still be a few years away, but you don’t have to wait to apply quantum now. With quantum-inspired optimization (QIO), you can overcome quantum challenges—some of the most complex business and real-world problems. QIO algorithms leverage the concept of quantum physics and can be run on classical computers. They help find the right solutions with greater accuracy as compared to classical computations. The key to implementing these algorithms lies in converting business challenges into mathematical problems to find suitable solutions.  While that remains to be addressed, QIO algorithms can create a viable path to embark on your quantum computing journey. Choosing the right partners with the necessary capabilities is crucial to getting the quantum advantage.

About the author

Easwara Prasad M
Easwara Prasad M leads the Azure Quantum and High-Performance Computing (HPC) function at TCS’ Microsoft Business Unit. He is also a consultant for the unit’s innovation garage.

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