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Quantum algorithms for applications in material science and chemistry | by QUTAC | #quantumsummit24
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Davide Vodola | Quantum computing scientist, BASF Digital Solutions GmbH
In this talk, I will discuss the research we are carrying within the Material science working group of QUTAC that is a consortium of different German companies working on devising, developing, and testing quantum algorithms for industrial applications. I will mainly focus on beyond-NISQ / early-fault-tolerant quantum algorithms (a quantum enhanced version of the auxiliary field quantum Monte Carlo, a quantum imaginary time evolution algorithm, and a qubit-efficient randomized quantum algorithm) for quantum chemistry simulations.
In this talk, I will discuss the research we are carrying within the Material science working group of QUTAC that is a consortium of different German companies working on devising, developing, and testing quantum algorithms for industrial applications. I will mainly focus on beyond-NISQ / early-fault-tolerant quantum algorithms (a quantum enhanced version of the auxiliary field quantum Monte Carlo, a quantum imaginary time evolution algorithm, and a qubit-efficient randomized quantum algorithm) for quantum chemistry simulations.
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