Groundbreaking Quantum Algorithm Developed by OU Professor Adopted by Google and IBM

Technology / Press Release September 11, 2024

NORMAN, September 9, 2024 -– A groundbreaking algorithm developed by Prakash Vedula, Ph.D., a professor at the University of Oklahoma School of Aerospace and Mechanical Engineering, and Alok Shukla, Ph.D., a professor in the Mathematical and Physical Sciences division at Ahmedabad University, has been incorporated into advanced computing software developed by Google and IBM. The algorithm is remarkable for its exponential improvement over previous methods.

This significant breakthrough in the field of quantum computing was achieved during the summer of last year and published in Quantum Information Processing earlier this year. The algorithm focuses on creating uniform quantum superposition states, a critical part of quantum computing, and drastically reduces the complexity of this fundamental step. This efficiency is not just theoretical—it has practical applications across various fields, including quantum search, optimization, solution of differential equations, signal processing, cryptography, finance and artificial intelligence.

The Shukla–Vedula algorithm offers a substantially more efficient approach to reducing the complexity of a fundamental step required for many quantum algorithms.

Recently, major quantum software platforms developed by Google and IBM—Cirq and Qiskit, respectively—integrated the Shukla–Vedula algorithm into their latest software versions. These platforms are widely used in industry and academia, and the adoption of this algorithm highlights its significance. Additionally, Goldman Sachs has already begun using this algorithm to analyze financial risks in financial derivatives.

“In our research group, we focus on high-risk, high-impact projects. Exponential advancements in any scientific discipline are extremely rare,” said Vedula. “Our algorithm demonstrates an exponential improvement over previous methods in the literature, all without the need for additional resources.”

As the algorithm continues to gain traction, Professor Vedula is optimistic about its future impact. “We expect this innovation to drive significant improvements in quantum computing across various applications. These are truly exciting times for the field of quantum computing.”