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AltGraph: Redesigning Quantum Circuits Using Generative Graph Models for Efficient Optimization
Rule-based approaches are used in quantum compilers such as Qiskit, tket, and Quilc.
Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
Identification and verification of molecular properties such as side effects is one of the most important and time-consuming steps in the process of molecule synthesis.
Energy-based Generative Models for Target-specific Drug Discovery
Drug targets are the main focus of drug discovery due to their key role in disease pathogenesis.
Quantum Machine Learning for Material Synthesis and Hardware Security
Using quantum computing, this paper addresses two scientifically pressing and day-to-day relevant problems, namely, chemical retrosynthesis which is an important step in drug/material discovery and security of the semiconductor supply chain.
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