Algorithmiq Showcases Quantum Utility Path with IBM
Algorithmiq has run one of the largest scale error mitigation experiments to date on IBM’s hardware. This achievement positions them, with IBM, as front runners to reach quantum utility for real-world use cases. The experiment was run with Algorithmiq’s proprietary error mitigation algorithms on the IBM Nazca, the 127 qubit Eagle processor, using 50 active qubits x 98 layers of CNOTS and thus a total of 2402 CNOTS gates. This significant milestone for the field is the result of a collaboration between the two teams, who joined forces back in 2022 to pave the way toward achieving the first useful quantum advantage for chemistry.
Professor Sabrina Maniscalco, Co-Founder and CEO of Algorithmiq said, “It’s a great honour to be presenting this successful milestone with IBM’s team at the IBM Summit. Today represents further validation that Algorithmiq’s core error mitigation techniques are powerful and will enable large scale experiments on specific use cases leading us well into the quantum utility era for real commercial applications. 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. Needless to say, I’m extremely excited about the goals we’ve set ourselves for 2024. Today’s results are just the beginning.”
Further to the announcement of the error mitigation technique, Sabrina Maniscalco, CEO and Co-founder of Algorithmiq was back on stage to present additional key achievements by the team’s latest published results, this time with AstraZeneca, IBM, and the Hartree Centre on novel approach suitable to study proton transfer reactions which treat both electrons and nuclei with the same quantum mechanics. Combining the latter with Algorithmiq’s hardware-adapted fermion-to-qubit mapping and compilation algorithms drastically reduced the quantum hardware requirements compared to existing methods (we have observed up to 54% reduction in number of noisy operations) and laid the groundwork for the first hardware experiments.
Guillermo García-Pérez, CSO and co-founder of Algorithmiq said, “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.”
