97 citations
- Argonne National LaboratoryUS2 papers
- Lawrence Livermore National LaboratoryUS2 papers
- Amgen (United States)US1 paper
- Argonne Leadership Computing Facility1 paper
- Association of Research LibrariesUS1 paper
- Barcelona Supercomputing CenterES1 paper
- BiocomUS1 paper
- California Southern UniversityUS1 paper
- Carnegie Mellon UniversityUS1 paper
- Centre for Human Drug ResearchNL1 paper
- Delft University of TechnologyNL1 paper
- Deloitte (United Kingdom)GB1 paper
4 papers · 1 filter
Harnessing Quantum Dynamics for Robust and Scalable Quantum Extreme Learning Machines
Payal D. Solanki, Anh Pham
Quantum Extreme Learning Machine (QELM) is an emerging hybrid quantum machine learning framework that leverages quantum system dynamics to enhance classical models. However, QELM c…
Robust Quantum Reservoir Computing for Molecular Property Prediction
Daniel Beaulieu, Milan Kornjaca, Zoran Krunic +4
Machine learning has been increasingly utilized in the field of biomedical research to accelerate the drug discovery process. In recent years, the emergence of quantum computing ha…
Empirical Power of Quantum Encoding Methods for Binary Classification
Gennaro De Luca, Andrew Vlasic, Michael Vitz +1
Quantum machine learning is one of the many potential applications of quantum computing, each of which is hoped to provide some novel computational advantage. However, quantum mach…
Towards quantum computing for clinical trial design and optimization: A perspective on new opportunities and challenges
Hakan Doga, M. Emre Sahin, Joao Bettencourt-Silva +10
Clinical trials are pivotal in the drug discovery process to determine the safety and efficacy of a drug candidate. The high failure rates of these trials are attributed to deficie…