Achieving Precision in Quantum Material Simulations

Posted by Charles Neill and Zhang Jiang, Senior Research Scientists, Google Quantum AI In fall of 2019, we demonstrated that the Sycamore quantum processor could outperform the most powerful classical computers when applied to a tailor-made problem. The next challenge is to extend this result to solve practical problems in materials science, chemistry and physics. But going beyond the capabilities of classical computers for these problems is challenging and will require new insights to achieve s...

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