International Business Machines Corporation IBM recently announced that it has formed a strategic research collaboration with ETH Zurich, a prominent research institution of Switzerland. The collaboration will work on developing the next generation of algorithms for a world where AI and quantum computing converge.
Algorithms are the logic behind everything in computers, but today’s algorithms are engineered for classical computers. However, worlds today are moving towards a place where AI-driven systems, quantum computers and hybrid computing environments will be utilized for advanced applications. The challenge is to make all those systems work efficiently, in coordination with each other.
In order for that to happen, several mathematical foundations are essential. They are optimization and combinatorial problems; differential equations and dynamical systems; linear algebra and Hamiltonian simulations; and complex system modeling. IBM and ETH Zurich are set to specifically work on these concepts to advance foundational algorithmic research.
Per a report from Grand View Research, the Quantum Computing market was valued at $1.42 billion in 2024. It is projected to reach $4.24 billion in 2030 with a compound annual growth rate of 20.5%. IBM is set to gain from this market trend backed by its strong research and innovation initiatives in this domain.
Google, a subsidiary of Alphabet, Inc. GOOGL, is developing Google Quantum AI. The objective is to create a large-scale, error-corrected computer capable of solving problems beyond classical systems. Google is developing the entire stack, which includes hardware, software and algorithms together. The end-to-end integration will likely provide the company with greater control and accelerate innovation.
Microsoft Corporation’s MSFT quantum strategy, branded as Azure Quantum, is a bit different than competitors. The company is using topological qubits to store information, which it claims are less sensitive to noise compared to traditional qubits. Microsoft’s unique strategy may lead to lower errors, better scalability and lay the foundation for industrial-scale quantum computing. Microsoft also emphasizes an end-to-end approach that is hardware innovation, software and cloud.
IBM stock has declined 3.2% over the past year against the industry’s growth of 87.6%.
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Going by the price/earnings ratio, IBM shares currently trade at 19.23 forward earnings, higher than industry average 9.16.
