Algorithmiq, a Finnish-based scaleup developing quantum algorithms to solve the most complex problems in life sciences, announced that it has successfully run one of the largest scale error mitigation experiments to date on hardware created by Armonk-based IBM (NYSE:IBM).
Quantum computers, when operated, still have high levels of errors that stand in the way of performing meaningful large-scale calculations on the hardware. Currently, one of the biggest challenges in quantum computing is to overcome such noise in the execution. Error mitigation techniques are designed to enable running algorithms in the presence of errors, but they can become very runtime inefficient as the problem size and qubit numbers increase.
According to the company, the experiment was run with Algorithmiq’s proprietary error mitigation algorithms on the IBM Nazca, the 127 qubit Eagle processor, using 50 active qubits times 98 layers of CNOTS for a total of 2402 CNOTS gates. The company added this achievement positions it alongside IBM as “front runners to reach quantum utility for real world use cases.”
“I’ve dedicated over 20 years of my life to the study of noisy quantum systems, as a professor, and I never thought this type of experiment would be possible so soon,” said Sabrina Maniscalco, co-founder and CEO of Algorithmiq. “It’s a great honor. Needless to say, I’m extremely excited about the goals we’ve set ourselves for 2024. Today’s results are just the beginning”
Guillermo García-Pérez, chief scientific officer and co-founder of Algorithmiq, added, “The significance of these results demonstrates the power of our key enabler, informationally complete measurements which, when combined with best in class hardware are the stepping stone to any scalable quantum simulation and the basis for any meaningful application.”
