117 citations · 125 across the 4 of their papers we have counts for
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cs.LG2022★ 1 cited
Molecular Fingerprints for Robust and Efficient ML-Driven Molecular Generation
Ruslan N. Tazhigulov, Joshua Schiller, Jacob Oppenheim +1
We propose a novel molecular fingerprint-based variational autoencoder applied for molecular generation on real-world drug molecules. We define more suitable and pharma-relevant ba…
quant-ph2022★ 6 cited
Simulating challenging correlated molecules and materials on the Sycamore quantum processor
Ruslan N. Tazhigulov, Shi-Ning Sun, Reza Haghshenas +6
Simulating complex molecules and materials is an anticipated application of quantum devices. With strong quantum advantage demonstrated in artificial tasks, we examine how such adv…