جست‌وجوی استاد و پژوهشگر

Shenglong Xuمشاهده پروفایل

استادیار

• Condensed Matter Theory
• Quantum Information
• Quantum Simulation
• +۳ مورد دیگر

Shenglong Xu is an Assistant Professor in the Department of Physics & Astronomy at Texas A&M University. His research spans condensed matter theory, quantum information, and quantum simulation, with a focus on quantum many-body physics. He leads a research group investigating complex phenomena emerging from quantum interactions. PhD from University of California, San Diego (2017) Postdoctoral work at University of Maryland (2017-2020) Research explores quantum many-body dynamics, entanglement entropy growth, thermalization, and state engineering via quantum protocols. Key work includes studying scrambling, scar states, and developing numerical algorithms like tensor networks and quantum Monte Carlo. His publications (2015-2024) analyze quantum chaos, symmetry-embedded states, and information spreading in fermionic chains. Collaborative studies involve Rydberg atom simulators, spin lattice models, and experimental implementations. Scientific Awards Google Research Scholar (2023) Current group includes students Lakshya Agarwal and Christopher M. Langlett. Recent work appears in Physical Review B (2024) on nonsymmorphic Luttinger liquids.

David Campbellمشاهده پروفایل

استاد

• Condensed Matter Physics
• Nonlinear Dynamics
• Quantum Many-Body Systems
• +۳ مورد دیگر

David Campbell is a Professor of Physics, Electrical and Computer Engineering (ECE), and Materials Science and Engineering (MSE) at Boston University, and serves as Director of Graduate Studies. He holds a Ph.D. from Cambridge University (1970). His research focuses on correlated electronic systems, nonlinear excitations, and non-equilibrium phenomena, including studies of solitons in solids, Bose-Einstein Condensates, and the Fermi-Pasta-Ulam-Tsingou (FPUT) problem. He is renowned for developing functional Renormalization Group (fRG) methods and investigating metastable states in FPUT systems. Key awards include the Julius Edgar Lilienfeld Prize (2010), Gauss Professorship (2014-15), and SigmaPhi Prize (2020). His work spans theoretical physics, quantum many-body systems, and materials science, with contributions to superconductivity, nonlinear dynamics, and precision metrology. Recent articles address metastable FPUT states, Casimir-effect metrology, and functional RG studies of Hubbard models. He collaborates globally on interdisciplinary projects, including machine learning in materials design and MEMS device engineering.

• Quantum Physics
• Quantum Information
• Quantum Metrology
• +۳ مورد دیگر

Dr. Matteo Fadel is a Lecturer in the Department of Physics at ETH Zürich, affiliated with the Professur Hybride Quantensysteme (Hybrid Quantum Systems Group). His research focuses on quantum physics, quantum information, and quantum metrology, with particular emphasis on mechanical systems, Bose-Einstein condensates, and spin squeezing phenomena. Fadel explores theoretical and experimental aspects of macroscopic quantum coherence, entanglement dynamics, and quantum gravitational effects. He has contributed to developing protocols for detecting non-locality and Bell correlations in many-body systems, as well as advancing quantum teleportation and remote state preparation techniques. Research Interests : Quantum non-Gaussianity, entanglement quantification, precision measurement, topological quantum systems, and gravity-related quantum effects. His work bridges theoretical studies with experimental implementations, such as parity measurements in circuit quantum acoustodynamics and spin squeezing in atomic ensembles. Fadel’s contributions span both foundational quantum theory and applied quantum technologies, including novel approaches to distributed quantum sensing and metrological complementarity. While no specific grants or awards are listed in the text, his publications reflect sustained engagement with cutting-edge topics in quantum physics. Advising details and lab affiliations are not explicitly provided, but his research group likely focuses on hybrid quantum systems and their applications in sensing and computation. His research also touches on machine learning for bosonic functionals and the quantum marginal problem in many-body systems.

Daniel Ranardمشاهده پروفایل

پژوهشگر ارشد

• Quantum Computing
• Theoretical Physics
• Condensed Matter Physics
• +۳ مورد دیگر

Daniel Ranard is a Dubridge Postdoctoral Scholar Research Fellow in Theoretical Physics at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics, and Astronomy. His research focuses on quantum computing, many-body physics, and quantum information theory, with particular emphasis on quantum algorithms, topological phases of matter, and entanglement entropy. He explores foundational questions in quantum systems, such as quantum-classical correspondence, decoherence dynamics, and the application of quantum optimization techniques like the Quantum Approximate Optimization Algorithm (QAOA). His work integrates theoretical frameworks from condensed matter physics, quantum field theory, and statistical mechanics. Key contributions include studies on topological entanglement entropy, subsystem entropy fluctuations, and the classification of 2D topological phases. He also investigates practical applications, such as heat-based decontamination of N95 masks, demonstrating interdisciplinary impact. Notable research trends include advancing QAOA scalability, analyzing quantum-classical transitions in open systems, and developing error-correcting codes using topological models. His publications span high-impact areas like quantum many-body localization, entanglement dynamics, and algorithmic barriers in quantum optimization. No scientific awards are explicitly listed in the provided information. His academic contributions are primarily through research output and postdoctoral engagement in theoretical physics at Caltech.

William C. Kerrمشاهده پروفایل

استاد

• Theoretical Solid State Physics
• Statistical Physics
• Condensed Matter Physics
• +۴ مورد دیگر

William C. Kerr is a Professor in the Department of Physics at Wake Forest University. He specializes in theoretical solid-state physics, statistical physics, and computer simulations of phase transitions and soliton effects in condensed matter. His research includes studies on martensitic phase transformations, nucleation rates in extended systems, and semiclassical electron dynamics. He has advised graduate students like Andrew J. Graham and Matthew Rave, collaborating on topics such as Berry phase effects, electron-phonon interactions, and quantum transport. His work integrates theoretical frameworks with computational methods to explore phenomena like elastic compatibility in materials and topological effects in electron dynamics. Research Highlights Developed phase space formulations of Langevin and Fokker-Planck equations for stochastic systems. Investigated nucleation mechanisms in elastic strings using Kramers' problem solutions. Explored Berry phase contributions to electron dynamics in periodic potentials and spin-orbit coupling effects. Collaborated with Los Alamos National Laboratory on martensitic texture evolution models and Courant Institute on lattice dynamics. Teaching Teaches advanced undergraduate and graduate courses including Quantum Physics I/II, Condensed Matter Physics, and Statistical Mechanics (PHY 770). Professional Activities Contributed to journals such as Physical Review E, European Physical Journal B, and collaborated with researchers across institutions to advance nonlinear dynamics and materials science.

John Sousمشاهده پروفایل

استادیار

• Condensed Matter Physics
• Quantum Materials
• Ultracold Atoms/Molecules
• +۴ مورد دیگر

John Sous is an Assistant Professor of Applied Physics at Yale University. His research focuses on complex quantum systems with strong correlations, exploring novel functionalities for future technologies such as energy materials. Key areas include correlated quantum matter (quantum materials, ultracold atoms/molecules) and dynamical nonlinear systems (optically driven quantum systems, neural learning models). He has been awarded the AFOSR Young Investigator Program Award (2024-2027) and the Gordon and Betty Moore Foundation Postdoctoral Fellowship (2022-2023). His work bridges theoretical physics and computational methods, with recent contributions to superconductivity theory, polaron dynamics, and topological protection mechanisms. Notable research trends include investigation of bipolaronic superconductivity mechanisms, electron-phonon coupling effects, and quantum many-body systems under optical excitations. His studies often leverage advanced computational tools like the Generalized Green's function Cluster Expansion Python package. Collaborations with experimental groups and interdisciplinary efforts in AI applications (e.g., benchmarking foundation models) highlight his cross-cutting research approach. Key Awards: Nevill Mott Prize (2024), AFOSR YIP (2024), Moore Fellowship (2022) Grant activities include Yale Engineering seed funding for AI-driven physics research. His advisory work focuses on graduate students in condensed matter and quantum physics domains.

Subrata Dasمشاهده پروفایل

پژوهشگر ارشد

• Theoretical Quantum Physics
• Quantum Gas
• Bose-Einstein Condensate
• +۳ مورد دیگر

Subrata Das is a Postdoctoral Researcher at Virginia Tech's Center for Quantum Information Science & Engineering within the Department of Physics, College of Science. Working under Professor Vito Scarola, he conducts advanced research on quantum many-body systems using Tensor Network methods including Matrix Product States and Tree Tensor Networks. His office is located at 106 Robeson Hall in Blacksburg, Virginia. Das earned his PhD from the Indian Institute of Technology Kharagpur specializing in Quantum Turbulence in Bose-Einstein Condensates. His academic journey began with undergraduate studies at the University of North Bengal, followed by postgraduate work at the University of Calcutta where he received the prestigious DST-INSPIRE Scholarship for academic excellence. His research expertise spans Theoretical Quantum Physics with emphasis on Quantum Gas systems, Bose-Einstein Condensates, and Many-Body Physics. Das utilizes Tensor Network methods and DMRG to investigate Quantum Vortices and Quantum Turbulence in ultracold quantum systems. With over six years of experience, he has developed scientific code in C++ and excels in data post-processing using Python for high-performance computing applications. Das's publication record demonstrates consistent contributions to understanding supersolids, quantum turbulence, and dipolar quantum gases. His work reveals patterns in vortex dynamics, phase transitions in dipolar Bose-Einstein condensates, and computational approaches to quantum many-body problems, often involving collaborations with leading physicists in the field. DST-INSPIRE Scholarship for academic excellence Google Cloud Platform Research Credits ($5,000) for large-scale quantum turbulence simulations As a postdoctoral researcher, Das contributes to Virginia Tech's quantum research ecosystem supported by computational resources including Google Cloud Platform credits. His work bridges theoretical physics with computational approaches to advance understanding of quantum phenomena with potential applications in quantum technologies. Das actively collaborates with the Center for Quantum Information Science & Engineering, engaging with researchers in quantum computing, simulation, and information theory. His current projects focus on vortex dynamics in quantum fluids and computational methods for large-scale quantum systems, positioning him at the forefront of theoretical quantum physics research.

Priya Batraمشاهده پروفایل

پژوهشگر ارشد

• Quantum Information
• Quantum Control
• Machine Learning
• +۲ مورد دیگر

Priya Batra is a Postdoctoral Associate at the Center for Quantum Information Science and Engineering, Department of Physics, College of Science, Virginia Tech. She completed her PhD at the Indian Institute of Science Education and Research (IISER) Pune under Prof. T S Mahesh, funded by the Prime Minister Research Fellowship. Education: PhD in Physics, Indian Institute of Science Education and Research (IISER) Pune Her research bridges quantum information, quantum control, and machine learning. She develops quantum optimal control algorithms for robust quantum computing and applies machine learning techniques like recommender systems to solve quantum many-body problems. Her work addresses exponential complexity in quantum systems through computational innovation, focusing on quantum correlations, state fidelity, and noise-resilient control sequences. Recent publications reveal strong integration of machine learning with quantum control, particularly in characterizing quantum evolutions and optimizing pulse engineering. Her hybrid algorithms demonstrate superior noise resistance in NMR implementations, while recommender systems enable efficient quantum discord computation for large systems. Scientific Awards: Prime Minister Research Fellowship Funded by India's Prime Minister Research Fellowship during her doctorate, she now contributes to Virginia Tech's quantum research ecosystem. Her postdoctoral work involves experimental NMR validation of quantum protocols under advisors Prof. Ed Barnes and Prof. Sophie Economou. She operates within Virginia Tech's Center for Quantum Information Science and Engineering, collaborating on quantum computing infrastructure. Her experimental-theoretical approach utilizes liquid-state NMR spectroscopy for quantum simulation and control validation, targeting real-world quantum technology applications.

• Operator Algebras
• Mathematical Physics
• Quantum Computation
• +۲ مورد دیگر

Francesca La Piana is a Doctoral Research Fellow at the Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Oslo, actively contributing to the Operator Algebras research group and the QOMBINE project (Mathematics for quantum computation and many-body theory). Her work bridges advanced mathematical frameworks with quantum information science. Her research centers on Operator Algebras with critical applications in Mathematical Physics and Quantum Computation, focusing on modular theory, entanglement structures in fermionic systems, and conformal field theory. She integrates techniques from Several Complex Variables and Logic to address foundational problems in quantum many-body systems, particularly exploring massless particle dynamics and modular Hamiltonians. La Piana's 2025 publication in Communications in Mathematical Physics on the fermionic massless modular Hamiltonian exemplifies her interdisciplinary approach, advancing algebraic quantum field theory with implications for quantum gravity and information. Her work within the QOMBINE project drives mathematical innovations for quantum computing architectures. She collaborates extensively within the Operator Algebras group at UiO, participating in seminars and joint research initiatives that foster cross-disciplinary dialogue between pure mathematics and theoretical physics. As a doctoral researcher, she develops rigorous mathematical tools for next-generation quantum technologies.

Hajo Leschkeمشاهده پروفایل

استاد

• Theoretical Physics
• Quantum Mechanics
• Statistical Physics
• +۳ مورد دیگر

Prof. Hajo Leschke is a Professor of Theoretical Physics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), affiliated with the Department of Physics, specifically Theoretical Physics I. His research group focuses on quantum and statistical physics, with emphasis on disordered systems, entanglement, and mathematical foundations of quantum mechanics. Research interests span: Theoretical Quantum Systems : Quantum spin glasses, fermionic entanglement, and disorder-driven phase transitions. Statistical Mechanics : Scaling behavior of entropy, free energy in spin models, and thermodynamic limits. Mathematical Physics : Rigorous analysis of Schrödinger operators, spectral theory, and path integral formalisms. His publications (2000–2023) predominantly explore quantum disorder effects, entanglement entropy scaling in Fermi gases, and applications of operator theory to statistical physics. Trends include mathematical rigor in quantum models and interdisciplinary links to quantum information science. Prof. Leschke advises multiple students, including current researchers (e.g., Helmut Fink, Sebastian Rothlauf) and former doctoral/diploma candidates. No awards or grants are detailed in available texts. His group maintains active collaborations, notably with international institutions like the American Institute of Mathematics.

Sebastian Huberمشاهده پروفایل

مدرس

• Theoretical Physics
• Quantum Statistical Mechanics
• Topological Materials
• +۳ مورد دیگر

Prof. Sebastian Huber is a Lecturer at ETH Zürich's Department of Physics within the Institute for Theoretical Physics. His research focuses on classical topological wave phenomena and applications of machine learning to quantum statistical many-body systems. He holds an ERC Consolidator Grant and previously served as an SNSF Professor. Education: Diplom (2004) and PhD (ETH Zürich under Prof. Gianni Blatter), followed by postdoctoral research at the Weizmann Institute of Science supported by SNSF and Swiss Friends of Weizmann fellowships. Research interests span topological materials, metamaterials, and quantum many-body systems. Notable grants include ERC Consolidator (2018-present) and SNSF Professorship (2012-2018). His work bridges theoretical physics with experimental realizations in condensed matter and acoustics. Awards include the Koshland Prize and SNSF Fellowships. Active in teaching via ETH's Zurich Physics Colloquium and advanced graduate courses in theoretical physics.

Niels Waletمشاهده پروفایل

استاد

• Theoretical Physics
• Condensed Matter Physics
• Nuclear Physics
• +۷ مورد دیگر

Niels Walet is a Professor of Theoretical Physics and Associate Dean for Online and Flexible Learning at the University of Manchester's Faculty of Science and Engineering. He holds a doctorate from the University of Utrecht and has held research positions in Amsterdam, Philadelphia, and Erlangen before joining UMIST (now part of the University of Manchester) as a lecturer. His academic roles include leadership in e-learning initiatives and contributions to Open Educational Resources, particularly leveraging simulations in Java and Mathematica. Research interests span theoretical nuclear physics (many-body problem, effective field theory in light nuclei) and condensed matter physics (graphene, topological materials, superconductivity). He explores topics like renormalization group techniques, skyrmions, and computational approaches to quantum field theory. His work also addresses gender equity in physics education and modern computer-based learning tools. Walet supervises 4 PhD students and collaborates internationally, with recent studies on twisted graphene bilayers, topological superconductivity, and nuclear halo structures. His research contributes to UN Sustainable Development Goals through advancements in material science and education technology.

Ana Djurdjevacمشاهده پروفایل

استادیار

• Numerical Analysis
• Stochastic Processes
• Partial Differential Equations
• +۳ مورد دیگر

Ana Djurdjevac is an Assistant Professor in the Department of Numerical Analysis and Stochastics at the Freie Universität Berlin , within the Department of Mathematics and Computer Science. Her research focuses on numerical analysis, stochastic processes, and partial differential equations, with particular emphasis on uncertainty quantification and mathematical modeling in evolving domains. She teaches advanced courses such as Numerical Methods for Stochastic Differential Equations and Stochastik I , reflecting her expertise in computational methods and probabilistic frameworks. Her work integrates theoretical analysis with practical numerical techniques, addressing challenges in domains such as fluid dynamics, quantum systems, and biological surface fluctuations. Recent contributions include studies on hybrid algorithms for particle systems, rough homogenization in stochastic dynamics, and synchronization mechanisms in conservation laws. Djurdjevac actively participates in academic events, including the 2025 SIAM Conference on Computational Science and Engineering, and collaborates on projects involving quasi-Monte Carlo methods for Bayesian inversion and domain decomposition techniques. Professional activities highlight her role in shaping emerging fields like stochastic PDEs on evolving domains and feedback loops in agent-based models. While no specific awards are listed, her prolific publication record and teaching roles underscore her contributions to computational science and applied mathematics.

Justin Conroyمشاهده پروفایل

استاد

• Statistical Mechanics
• Theoretical Physics
• Transport Equations
• +۳ مورد دیگر

Dr. Justin Conroy is a Professor at the State University of New York at Fredonia. His research focuses on theoretical physics, statistical mechanics, and mathematical physics, with emphasis on entropy techniques, transport phenomena, and nonextensive thermostatics. He has contributed to topics like Tsallis statistics, quantum Hamiltonians, and grand unified theories. Dr. Conroy holds a Ph.D. from the College of William & Mary. His academic work includes presentations such as "What is Entropy?" at Georgia Southern University (2022) and publications in journals like Physica A and Springer. He administers scholarships such as the Computer Science, Mathematics, and Physics Scholarships (CSMAPS) since 2017. His research trends span from entropy-based modeling in environmental systems to high-energy physics applications of nonextensive statistics. Over 20 years, his work explores both foundational theories (e.g., transport equations) and applied problems (e.g., plume dispersion models). Dr. Conroy has no listed academic awards but maintains active grants related to STEM scholarships. His advising record and lab affiliations are not detailed in the provided texts.

Joe Bhaseenمشاهده پروفایل

استاد

• Strongly Correlated Systems
• Condensed Matter Physics
• Quantum Field Theory
• +۳ مورد دیگر

Joe Bhaseen is a Professor of Theoretical Physics at King's College London's Department of Physics , part of the Faculty of Natural, Mathematical & Engineering Sciences . He leads the Theory & Simulation of Condensed Matter Group and is affiliated with the London Centre for Nanotechnology . His research focuses on strongly correlated systems, quantum field theory approaches to many-body problems, and non-equilibrium dynamics in condensed matter physics. He has contributed to understanding phenomena such as quantum spin dynamics, Ising deconfinement transitions, and topological insulators. Notable projects include the Cluster expansion approach to out-of-equilibrium quantum physics (2016–2021) and collaborative grants like the £7.7M initiative on time-varying metamaterials (2024). He has supervised 10 PhD/MSc students and co-authored over 35 peer-reviewed articles, with recent work appearing in journals like Physical Review Letters and Nature Physics . Research Interests: Strongly correlated systems, quantum field theory, non-equilibrium physics, and topological phases of matter. Affiliations: London Centre for Nanotechnology, Centre for Non-Equilibrium Science (CNES), and King's College London. Grants: EPSRC-funded projects on quantum computations and martensitic steels design, Leverhulme Trust-funded dynamics research. His work bridges theoretical advancements with experimental applications in quantum materials and ultra-cold atomic systems.