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Kevin Young is a staff scientist at Sandia National Laboratories with broad expertise in physical implementations of quantum computing. Kevin is the co-director of Sandia’s Quantum Performance Laboratory, a multidisciplinary research and development group within Sandia National Laboratories that develops and deploys cutting-edge techniques for assessing and improving the performance of quantum computing hardware.
Kevin earned both a BS in Physics and Mathematics and a BA in Chemistry at the College of Charleston in South Carolina. He received his PhD in Physics from the University of California, Berkeley, where he specialized in robust quantum optimal control theory and modeling of semiconducting qubit platforms. At Sandia his work focuses on identifying and mitigating errors in real quantum hardware, modeling low-level device physics of trapped-ion quantum computers, and participating in a number of standards making and advising organizations. He actively collaborates with experimental quantum computing groups across the globe.
Kevin is the recipient of the Department of Energy’s Early Career Award, a prestigious award granted to further the individual research programs of outstanding scientists with demonstrated successful research activities and potential for solving important problems to the US government. His research under this award focuses on developing fast and efficient calibration methods for quantum computers that work for all qubit technologies and can operate efficiently at scale.
Principal Project Specialist at the Argonne National Laboratory and a Senior Scientist in Department of Computer Science at University of Chicago Consortium for Advanced Science and Engineering. He is a senior member of IEEE society and a member of Chicago Quantum Exchange. His research involves development of quantum computing algorithms, error correction/mitigation techniques, and numerical simulator of quantum systems using high-performance computing on next-generation high-performance supercomputers. The recent projects include development of quantum chemistry and combinatorial optimization quantum algorithms for NISQ quantum computers.
Dr. Alexeev received his PhD in Physical Chemistry from Iowa State University while a graduate student in Mark Gordon’s quantum chemistry group. After graduation, Dr. Alexeev became a postdoctoral fellow at Pacific Northwest National Laboratory and worked in the NWChem group led by Dr. Theresa Windus; later, he joined the Nobel Prize winner Dr. Martin Karplus’ group at Harvard University and Université de Strasbourg.
- Quantum Algorithms
- Quantum Chemistry Algorithms
- Quantum Combinatorial Optimization Algorithms
- Classical and Quantum Machine Learning
- Quantum Simulators
- High Performance Computing and Parallel Computing