Prof. Dr. Sabre Kais | Information Theory | Best Researcher Award

Goodnight Distinguished Chair in Quantum Computing at North Carolina State University, United States

Prof. Dr. Sabre Kais is a distinguished scholar in quantum information science, theoretical chemistry, and quantum computing. He serves as a Professor of Chemistry at Purdue University and leads the Quantum Information Science Group. ๐Ÿงช๐Ÿ”ฌ His pioneering research focuses on quantum phase transitions, entanglement, and applying quantum algorithms to solve complex chemical problems. With over 250 peer-reviewed publications and multiple prestigious awards, including fellowships from the American Physical Society and the American Association for the Advancement of Science, he has significantly advanced interdisciplinary science. ๐Ÿ“š๐ŸŒ As a dedicated educator and mentor, Prof. Kais continues to shape future leaders in quantum technologies while spearheading collaborations across physics, chemistry, and computer science. His visionary work drives innovation at the intersection of theory and application in emerging quantum fields. ๐Ÿ’กโš›๏ธ

Professional Profile

Education ๐ŸŽ“๐Ÿ“˜

Prof. Dr. Sabre Kais earned his Ph.D. in Chemical Physics from the University of California, Berkeley, where he laid the foundation for his career in theoretical and quantum chemistry. Prior to that, he completed his undergraduate studies in Chemistry with honors, showcasing early aptitude in mathematics and physics. His academic training was deeply rooted in interdisciplinary approaches, enabling him to bridge concepts from chemistry, physics, and computer science. This educational background equipped him with a unique ability to investigate complex quantum systems and foster innovative solutions in quantum computation and information theory. ๐Ÿ“š๐Ÿ’ก His deep commitment to education continues through curriculum development and mentoring, nurturing future leaders in quantum science and technology.

Professional Experience ๐Ÿงช๐Ÿ‘จโ€๐Ÿซ

Prof. Kais is a full professor at Purdue University, where he leads the Quantum Information Science Group. He has held visiting positions and collaborative appointments at premier research institutions worldwide. ๐Ÿ›๏ธ๐ŸŒ His career spans over three decades of teaching, supervising graduate students, and conducting frontier research. At Purdue, he is also affiliated with the Department of Physics and the Department of Computer Science, reflecting his truly interdisciplinary approach. He has served on editorial boards, national review panels, and has contributed to shaping quantum education policy. His professional journey is marked by leadership in large-scale collaborative research projects, including NSF and DOE-funded initiatives that focus on quantum algorithms and simulations. ๐Ÿง ๐Ÿ–ฅ๏ธ His rich experience reflects a commitment to advancing both academia and cutting-edge quantum technology.

Research Interests โš›๏ธ๐Ÿ”ฌ

Prof. Kaisโ€™s research spans quantum computing, quantum information, theoretical chemistry, and many-body systems. His work focuses on quantum phase transitions, quantum entanglement, and the application of quantum algorithms to chemical problems. ๐Ÿงฌ๐Ÿง  He is particularly interested in solving classically intractable problems using quantum resources, including simulating molecular structures, reaction dynamics, and quantum control mechanisms. He also explores quantum machine learning and quantum chaos, positioning himself at the frontier of quantum science. ๐Ÿ”๐Ÿง‘โ€๐Ÿ”ฌ Prof. Kais integrates advanced mathematical techniques with physical insights, enabling breakthroughs in quantum simulations. His research bridges theory and practical quantum computation, aiming to influence next-generation quantum technologies and real-world applications in chemistry, materials science, and drug discovery.

Awards and Honors ๐Ÿ…๐ŸŽ–๏ธ

Prof. Kais has received numerous prestigious awards recognizing his excellence in research and scientific contributions. He is a Fellow of the American Physical Society (APS) and the American Association for the Advancement of Science (AAAS), honors bestowed on scientists with exceptional achievements. ๐ŸŒŸ๐Ÿ”ฌ His accolades include the Purdue University Research Excellence Award, NSF CAREER Award, and multiple keynote speaker invitations at top international conferences. His distinguished record of publication and leadership in quantum research has earned him recognition as a global thought leader in quantum chemistry and computing. ๐Ÿ“œ๐ŸŒ These honors reflect both the depth of his scientific impact and his dedication to advancing interdisciplinary research at the intersection of chemistry, physics, and quantum information science.

Research Skills ๐Ÿ’ป

Prof. Kais possesses a comprehensive set of research skills, including quantum algorithm design, numerical simulations, mathematical modeling, and quantum theory development. He is proficient in quantum programming frameworks and high-performance computing, applying them to model atomic and molecular systems. ๐Ÿง ๐Ÿงฎ His interdisciplinary capabilities enable him to tackle problems across chemistry, physics, and computer science. He demonstrates expertise in quantum entanglement analysis, phase transition modeling, and information-theoretic approaches to molecular dynamics. ๐Ÿงช๐Ÿงพ His strong analytical skills, combined with an ability to integrate theory with computation, make him a leader in quantum information science. He continually evolves his technical toolbox to adapt to new challenges and collaborates across domains to foster innovation.

Publications Top Notes

  • Title: Revealing the role of organic cations in hybrid halide perovskite CH3NH3PbI3
    Authors: C. Motta; F. El-Mellouhi; S. Kais; N. Tabet; F. Alharbi; S. Sanvito
    Year: 2015
    Citations: 740
    Source: Nature Communications

  • Title: Qudits and high-dimensional quantum computing
    Authors: Y. Wang; Z. Hu; B.C. Sanders; S. Kais
    Year: 2020
    Citations: 521
    Source: Frontiers in Physics

  • Title: Reduced-density-matrix mechanics
    Authors: A.J. Coleman
    Year: 2007
    Citations: 392
    Source: Book

  • Title: Manipulation of molecules with electromagnetic fields
    Authors: M. Lemeshko; R.V. Krems; J.M. Doyle; S. Kais
    Year: 2013
    Citations: 353
    Source: Molecular Physics

  • Title: Theoretical limits of photovoltaics efficiency
    Authors: F.H. Alharbi; S. Kais
    Year: 2015
    Citations: 290
    Source: Renewable and Sustainable Energy Reviews

  • Title: Quantum algorithm and circuit design solving the Poisson equation
    Authors: Y. Cao; A. Papageorgiou; I. Petras; J. Traub; S. Kais
    Year: 2013
    Citations: 249
    Source: New Journal of Physics

  • Title: Quantum annealing for prime factorization
    Authors: S. Jiang; K.A. Britt; A.J. McCaskey; T.S. Humble; S. Kais
    Year: 2018
    Citations: 243
    Source: Scientific Reports

  • Title: Quantum machine learning for electronic structure calculations
    Authors: R. Xia; S. Kais
    Year: 2018
    Citations: 204
    Source: Nature Communications

  • Title: Application of quantum-inspired tensor networks to optimize federated learning systems
    Authors: A.S. Bhatia, Amandeep Singh; M.K. Saggi, Mandeep Kaur; S. Kais, Sabre
    Year: 2025
    Source: Quantum Machine Intelligence

  • Title: Open-quantum-system simulation through exploiting noise on quantum computers
    Authors: S. Kais, Sabre; D.A. Mazziotti, David A.
    Year: 2025
    Source: Physical Review A

  • Title: Entropy-Assisted Quality Pattern Identification in Finance
    Authors: R. Gupta, Rishabh; S. Gupta, Shivam; J. Singh, Jaskirat; S. Kais, Sabre
    Year: 2025
    Source: Entropy

  • Title: Quantum Algorithms and Applications for Open Quantum Systems
    Authors: L.H. Delgado-Granados, Luis H.; T.J. Krogmeier, Timothy J.; L.A.M. Sager-Smith, Lee Ann M.; K. Head-Marsden, Kade; D.A. Mazziotti, David A.
    Year: 2025
    Citations: 2
    Source: Review Article

  • Title: Refined phase diagram for a spin-1 system exhibiting a Haldane phase
    Authors: M. Mousa, Mohamad; B. Wehefritz-Kaufmann, Birgit; S. Kais, Sabre; S.X. Cui, Shawn Xingshan; R.M. Kaufmann, Ralph M.
    Year: 2025
    Source: Physical Review B

  • Title: Designing Variational Ansatz for Quantum-Enabled Simulation of Non-Unitary Dynamical Evolution โ€“ An Excursion into Dicke Superradiance
    Authors: S. Shivpuje, Saurabh; M. Sajjan, Manas; Y. Wang, Yuchen; Z. Hu, Zixuan; S. Kais, Sabre
    Year: 2025
    Citations: 1
    Source: Advanced Quantum Technologies

  • Title: The Qubit Information Logic Theory for Understanding Multi-Qubit Entanglement and Designing Exotic Entangled States
    Authors: Z. Hu, Zixuan; S. Kais, Sabre
    Year: 2025
    Source: Annalen der Physik

  • Title: Experimental test of generalized multipartite entropic uncertainty relations
    Authors: Z. Wang, Zhaoan; B. Xie, Bofu; F. Ming, Fei; G. Guo, Guangcan; S. Kais, Sabre
    Year: 2024
    Citations: 1
    Source: Physical Review A

  • Title: Entropy corrected geometric Brownian motion
    Authors: R. Gupta, Rishabh; E.A. Drzazga-Szczศฉล›niak, Ewa A.; S. Kais, Sabre; D. Szczศฉล›niak, Dominik
    Year: 2024
    Citations: 5
    Source: Scientific Reports

  • Title: Psitrum: An open source simulator for universal quantum computers
    Authors: M.Y. Alghadeer, Mohammed Y.; E. Aldawsari, Eid; R. Selvarajan, Raja; S. Kais, Sabre; F.H. Alharbi, Fahhad H.
    Year: 2024
    Source: IET Quantum Communication.

Conclusion ๐ŸŒŸ๐Ÿ“Œ

Prof. Dr. Sabre Kais is a trailblazer in the realm of quantum science, seamlessly blending theoretical expertise with practical innovation. His contributions span across education, research, and global scientific leadership, making him a respected figure in multiple disciplines. โš›๏ธ๐ŸŒ Through a career marked by scholarly excellence, mentorship, and interdisciplinary collaboration, he continues to shape the future of quantum computing and molecular science. His visionary outlook, combined with a tireless commitment to knowledge creation and dissemination, positions him at the forefront of emerging quantum technologies. ๐Ÿ“ˆ๐Ÿ”ญ Prof. Kaisโ€™s legacy is one of bridging disciplines to unravel the complexities of the quantum world and inspire future generations of scientists.

Sabre Kais | Information Theory | Best Researcher Award

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