This is a match-making section for QuantERA Call 2023.
Quantum machine learning,strong correlation condensed matter software development
My group specializes on condensed matter software development, especially on theoretical spectroscopy. I teach quantum computing and quantum machine learning classes.
We are implementing dynamic (strong) correlation kernels for high throughput material research applications in innovative solar energy and cooling solutions. We use Quantum machine learning (autoencoders) and classical shadow approach. At the moment the software uses Pennylane. We are looking for partners for integration of this software to well established HPC codes (such as Quantum Espresso) for a HPC+QPU approach, or experimental partners working on strong dynamical correlation or singlet fission to fine tune our approach.
Submitted on 2023-03-27 10:11:46
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