جست‌وجوی استاد و پژوهشگر

Hitesh Changlaniمشاهده پروفایل

دانشیار

• Condensed Matter Theory
• Quantum Many-Body Systems
• Numerical Algorithms
• +۷ مورد دیگر

Hitesh Changlani is an Associate Professor in the Department of Physics at Florida State University, where he joined the faculty in 2018 after serving as an Assistant Professor from August 2018 to 2024. His academic journey includes postdoctoral fellowships at the Institute for Quantum Matter at Johns Hopkins University (2016-2018) and the Institute for Condensed Matter Theory at the University of Illinois at Urbana-Champaign (2013-2016). He received his Ph.D. in Physics from Cornell University in 2013 and earned his B.Tech. in Engineering Physics from the Indian Institute of Technology Bombay in 2007. Changlani's research focuses on theoretical and computational condensed matter physics, specializing in quantum many-body systems. His work spans several key areas including the study of quantum systems with strongly interacting particles, development of novel numerical algorithms for quantum many-body problems, multi-scale modeling of quantum matter, and investigation of frustrated magnets and Mott insulators. He has made significant contributions to understanding quantum spin liquids, particularly in pyrochlore systems like Ce2Zr2O7, and has developed advanced techniques such as density matrix downfolding for constructing effective Hamiltonians from first principles. Analysis of his recent publications (2023-2025) reveals a strong focus on quantum thermalization phenomena, quantum scars, and Hilbert space fragmentation in non-equilibrium quantum systems. His work bridges theoretical concepts with experimentally relevant materials, particularly in frustrated quantum magnetism. Changlani employs advanced numerical methods including tensor networks and quantum Monte Carlo to tackle challenging problems in strongly correlated electron systems, with recent emphasis on kinetic frustration in triangular lattice models and dipole-octupole physics in rare-earth pyrochlores. Changlani maintains active research collaborations and has developed computational approaches that connect ab initio calculations with low-energy model Hamiltonians. His research program addresses fundamental questions about quantum phases of matter, quantum dynamics, and the emergence of exotic quantum phenomena in correlated electron systems.

Tzu-Chieh Weiمشاهده پروفایل

استاد

• Quantum Information Science
• Condensed Matter Physics
• Tensor-Network Methods
• +۴ مورد دیگر

Tzu-Chieh Wei is a Professor at the C.N. Yang Institute for Theoretical Physics and Department of Physics and Astronomy, Stony Brook University. He received his B.A. and M.Sc. from National Taiwan University, and his Ph.D. from the University of Illinois at Urbana-Champaign. His research focuses on quantum information science, condensed matter physics, and tensor-network methods. He has pioneered work on quantum algorithms, error mitigation, and topological phases, and led the development of Stony Brook's quantum master's program. Affiliations: C.N. Yang Institute for Theoretical Physics, Department of Physics and Astronomy, Stony Brook University Educations: B.A. and M.Sc. in Physics, National Taiwan University Ph.D. in Physics, University of Illinois at Urbana-Champaign (2004) Research Interests: Dr. Wei's work spans quantum information science (quantum computing, entanglement theory, quantum algorithms), condensed matter physics (topological phases, superconductivity, optical lattices), and tensor-network methods (MPS, PEPS). He explores applications in quantum error mitigation, quantum machine learning, and quantum many-body systems. His recent focus includes hybrid quantum-classical algorithms, entanglement detection via Green's functions, and symmetry-enriched topological phases. Articles Trends: Recent publications emphasize quantum error mitigation techniques, topological phases with non-invertible symmetries, and adaptive quantum circuits for state preparation. His work bridges theoretical frameworks (e.g., AKLT models) with experimental implementations on quantum hardware (e.g., IBM quantum computers). Awards: IBM Qiskit Certificates (2020–2023) Online Teaching Certificate (2021) International Quantum Summer Summit Participant (2021) Advising & Grants: Advised PhD students on topics like topological phases and quantum algorithms. Active in grants supporting quantum computing education and microgrid control using quantum systems. Labs & Collaborations: Leads a research group focused on quantum information theory and its applications. Collaborates with institutions like the Perimeter Institute, University of Waterloo (IQC), and IBM Quantum. Involved in outreach initiatives to introduce quantum concepts to high school students and educators.

• Quantum Computing
• Machine Learning
• Theoretical Physics
• +۳ مورد دیگر

James Stokes is an Assistant Research Scientist in the Department of Mathematics at the University of Michigan, affiliated with the College of Literature, Science, and the Arts. His research focuses on quantum algorithms, neural network quantum states, and their applications in theoretical physics and computational finance. Stokes holds a Ph.D. from the University of Pennsylvania (2015), along with M.Phil. and M.S. degrees from the University of Melbourne (2010) and a B.S. from the University of Sydney (2007). His work bridges quantum computing and machine learning, addressing challenges in quantum chemistry simulation, partial differential equation solving, and gauge theory modeling. Recent articles highlight contributions to variational quantum algorithms, meta-variational Monte Carlo methods, and scalable architectures for quantum systems. Stokes' research emphasizes algorithmic innovation in high-dimensional HJB equations, financial derivative pricing, and symmetry-preserving neural networks for gauge theories. His office is located in East Hall, Room 4079, and he can be reached via stokesjd@umich.edu.

Mark Sellkeمشاهده پروفایل

استادیار

• Spin glasses
• Machine learning theory
• High-dimensional statistics

Mark Sellke is an Assistant Professor of Statistics at Harvard University's Department of Statistics. He is affiliated with the Faculty of Arts and Sciences and is based at the Science Center in Cambridge, MA. His research interests focus on spin glasses, machine learning theory, and high-dimensional statistics, with contributions to optimization theory, statistical physics, and algorithmic analysis. Dr. Sellke's work bridges theoretical computer science, probability, and mathematical physics. His recent publications explore algorithmic hardness in combinatorial optimization, energy landscapes in spin glasses, and foundational questions in machine learning. Notable areas include computational lower bounds for partitioning problems, stability analysis of local optima, and universality phenomena in spin glass models. Education: Advanced degrees in Statistics/Computer Science (details not explicitly listed) His research has been recognized through publications in top venues such as FOCS, NeurIPS, and JASA. Collaborative projects include work on multi-species spin glasses and algorithmic approaches to complex systems. Current research trends emphasize the intersection of optimization, stochastic processes, and high-dimensional data analysis. Dr. Sellke maintains an active research group and contributes to the academic community through courses on statistical theory and machine learning. His lab is part of Harvard's broader efforts in data science and probabilistic modeling.

Lorenzo Campos Venutiمشاهده پروفایل

دانشیار مدعو

• Condensed Matter Physics
• Quantum Information Processing
• Quantum Statistical Mechanics
• +۷ مورد دیگر

Lorenzo Campos Venuti is an Adjunct Associate Professor (Research) in the Department of Physics and Astronomy at the University of Southern California (USC), affiliated with the USC Dornsife College of Letters, Arts and Sciences. His research focuses on foundational aspects of quantum mechanics, quantum information processing, and condensed matter physics. He holds a Ph.D. in Condensed Matter Physics from the University of Stuttgart (2003) and an M.S. in Physics from the University of Bologna (1998), followed by postdoctoral training at the Institute for Scientific Interchange (ISI) in Torino, Italy (2006–2011). His research interests include equilibration and thermalization in quantum systems, quantum entanglement dynamics, topological protection of coherence, and the development of numerical algorithms for quantum many-body systems. He explores topics such as the eigenstate thermalization hypothesis, hidden order in quantum states, and long-distance entanglement creation. His work also addresses quantum annealing optimization, error suppression techniques, and the interplay between dissipation and quantum data classification. Recent research trends in his publications emphasize interdisciplinary approaches, combining quantum statistical mechanics with computational methods for open quantum systems. His studies on adiabatic quantum computing and boundary cancellation methods aim to enhance the robustness of quantum algorithms against noise and errors. Venuti has contributed to theoretical frameworks for understanding quantum criticality, non-Markovian dynamics, and the geometry of quantum state manifolds. His grants and advising activities are not detailed in the provided text, but his extensive publication record reflects a strong focus on advancing quantum technologies and foundational quantum physics. He is associated with the USC Dornsife College, leveraging its interdisciplinary environment for collaborative research in theoretical and computational physics.

• Numerical Analysis
• Geometric Integration
• Quantum Dynamics
• +۵ مورد دیگر

Prof. Christian Lubich is a Professor in the Mathematical Institute at the University of Tübingen, Germany. His research focuses on numerical analysis, geometric integration, quantum dynamics, and partial differential equations. He has authored influential books such as *Geometric Numerical Integration* (with E. Hairer and G. Wanner) and *From Quantum to Classical Molecular Dynamics*. His work emphasizes stability, accuracy, and computational efficiency in numerical methods for high-dimensional and oscillatory systems. Lubich's contributions span dynamical low-rank approximation, oscillatory Hamiltonian systems, and wave propagation in dispersive media. He has developed novel algorithms for tensor networks and matrix differential equations, addressing challenges in quantum many-body dynamics and stiff evolution problems. His research bridges numerical analysis with applications in physics, chemistry, and engineering. Key areas of exploration include: (1) structure-preserving integrators for long-time simulations, (2) error analysis of finite difference methods in semi-classical regimes, and (3) parallel algorithms for tensor-based computations. His work on pseudospectra and eigenvalue optimization has advanced stability analysis in linear dynamical systems. Lubich collaborates extensively on boundary element methods, finite element algorithms for evolving surfaces, and variational discretization techniques. His publications reflect a commitment to both theoretical rigor and practical computational solutions for complex physical systems.

Nikolay Prokofievمشاهده پروفایل

استاد

• Condensed Matter Theory
• Quantum Monte Carlo Methods
• Strongly Correlated Systems
• +۴ مورد دیگر

Nikolay Prokofiev is a Professor in the Department of Physics at the University of Massachusetts Amherst. He specializes in condensed matter theory, particularly supersolidity, quantum Monte Carlo methods, and strongly correlated systems. His research has pioneered numerical approaches like the Worm Monte Carlo algorithm and Diagrammatic Monte Carlo method. Prokofiev received his MSc from Moscow Engineering Physics Institute (1982) and PhD from Kurchatov Institute (1987), working there until 1999. He has been at UMass Amherst since 1999, contributing to the theory of supersolids and superglass phases. His work includes studies on dislocation core superfluidity, fermionic sign problems, and high-temperature superconductivity. Prokofiev is a Fellow of the American Physical Society for his contributions to quantum dynamics and Monte Carlo methods, and co-authored Superfluid States of Matter . Research interests focus on quantum fluids, phase transitions, and numerical techniques. Recent work explores superconductivity mechanisms, polaron dynamics, and topological defects in quantum systems. His publications analyze phenomena like superfluid depletion, bipolaron superconductivity, and transverse quantum fluids. Prokofiev collaborates with Boris Svistunov and other leading theorists, advancing understanding of strongly correlated systems. Awards: APS Fellow (2018) Key Concepts: Supersolidity, Quantum Monte Carlo, Fermi blockade, Dislocation superfluidity Labs/Teams: Part of UMass Physics Condensed Matter Theory Group

• Condensed Matter Physics
• Cold Atomic Physics
• Dynamical Mean-Field Theory
• +۴ مورد دیگر

Jim Freericks is the Robert L. McDevitt Professor of Physics at Georgetown University's College of Arts & Sciences. He has been at Georgetown since 1994, following postdoctoral work at UC Santa Barbara and UC Davis. His research focuses on condensed matter physics, particularly dynamical mean-field theory, nonequilibrium physics, and ultracold atomic systems. He leads projects funded by NSF, DARPA, and the Department of Energy, among others. His textbook on multilayered systems won the Alpha Sigma Nu National Book Award. Freericks also contributes to physics education research, including curriculum development and student learning assessments. Awards include the APS Fellowship (2006) and the ONR Young Investigator Award (1996). Education: B.A. (summa cum laude) in Physics, Princeton University, 1985 M.A. (1987) and Ph.D. (1991) in Physics, UC Berkeley Research Interests: Freericks' work spans theoretical and computational approaches to strongly correlated systems, including transport in multilayers, nonequilibrium dynamics, and cold atom simulations. He develops methods for petascale computing and collaborates on quantum simulation initiatives. Recent innovations include extending dynamical mean-field theory to time-dependent scenarios and analyzing charge-density-wave materials using pump-probe techniques. Awards: Kusaka Memorial Prize (1985) Georgetown Research Award (2007) McDevitt Chair (2010) Grants & Collaborations: Current funding comes from NSF (multilayer transport, petascale computing), DARPA (quantum emulators), and DOE (X-ray scattering theory). His lab also engages in MURI projects on ultracold dipolar matter and ion-trap quantum systems. Education grants include NSF support for quantum mechanics pedagogy. Labs/Teams: Leads a multidisciplinary team integrating theoretical physics, computational science, and quantum information. Collaborates with national labs and international networks like the Computational Materials Science Network.

Gero Frieseckeمشاهده پروفایل

استاد

• Electronic structure of atoms and molecules
• Calculus of variations
• Molecular dynamics
• +۳ مورد دیگر

Prof. Gero Friesecke is a Professor of Mathematics at the Technical University of Munich (TUM), leading the Chair of Analysis within the Department of Mathematics. He is affiliated with the TUM School of Computation, Information and Technology. His research focuses on electronic structure theory, calculus of variations, molecular dynamics, multiscale methods, and optimal transport. He has held academic positions at institutions like the University of Oxford and the University of Warwick before joining TUM in 2004. Education includes a PhD from Heriot-Watt University (1993) and postdoctoral work at Carnegie Mellon University, Universität Freiburg, and ETH Zurich. Notable awards include the Whitehead Prize (1999) and the Oberwolfach Prize (1995). His work spans theoretical and applied mathematics, with contributions to quantum chemistry, materials science, and optimal transport algorithms. He co-edits journals like the Archive for Rational Mechanics and Analysis and serves on scientific advisory boards, including the Max Planck Institute for Mathematics in the Sciences. Recent research emphasizes optimal transport applications in data science and quantum chemistry, with publications on topics like Wasserstein barycenters and self-assembly processes. His leadership roles include Dean of the Faculty of Mathematics at TUM (2012-2015) and co-founding the GAMM activity group on molecular systems modeling.

Christian B. Mendlمشاهده پروفایل

استادیار

• Quantum Computing
• Tensor Network Methods
• Computational Physics
• +۳ مورد دیگر

Christian B. Mendl is an Assistant Professor (Rudolf Mößbauer Tenure Track) at Technische Universität München's Department of Computer Science. His research focuses on quantum computing, tensor network methods, computational physics/chemistry, high-performance computing, and theoretical condensed matter physics. He holds a PhD in Physics from LMU München and dual diplomas in Physics and Mathematics from TU München, with postdoctoral experience at Stanford University and TU Dresden. His work bridges quantum algorithms, numerical methods, and interdisciplinary applications. Notable contributions include Riemannian quantum circuit optimization, tensor network simulations, and quantum-classical computing frameworks. He collaborates with institutions globally and actively develops open-source tools like PyTreeNet for tensor networks. Recent research emphasizes scalable quantum algorithms, optimization techniques, and hybrid quantum-classical systems. His work addresses challenges in quantum computing, many-body systems, and high-performance simulation frameworks.

• Mathematical Physics
• Quantum Physics
• Theoretical Physics
• +۶ مورد دیگر

Professor Murray Batchelor is a distinguished academic at the Australian National University (ANU), where he serves as a Professor in the Mathematical Sciences Institute. His career spans several decades with significant contributions to mathematical physics. He has held prestigious positions including Editor-in-Chief of Journal of Physics A: Mathematical and Theoretical from 2009-2013 and Head of the Department of Theoretical Physics from mid-2005 to March 2013. Professor Batchelor's educational background includes: 1st Class Honours with University Medal in Theoretical Physics, University of New South Wales (1983) PhD in Mathematics, Australian National University (1987) Professor Batchelor's research focuses on mathematical physics , particularly the theory and application of integrable models in condensed matter, cold atoms, and quantum devices. He combines analytic methods with numerical approaches to tackle quantum many-body problems. His work spans from fundamental theoretical investigations to applied mathematical modeling, including recent work on stromatolite growth and ooids formation. His research has significant implications for quantum computing and quantum information technology. An analysis of his recent publications reveals a strong focus on the quantum Rabi model and its variants. His work explores PT-symmetry, hidden symmetries, adiabatic approximations, and tunneling dynamics in quantum systems. These studies contribute to our understanding of quantum computing architectures, particularly in the context of qubit-oscillator systems and quantum information processing. Professor Batchelor has received numerous prestigious awards: Australian Academy of Science Pawsey Medal (1997) for outstanding research in physics Australian Mathematical Society Medal (1998) for distinguished research in the mathematical sciences Fellow of the Australian Mathematical Society Fellow of the Australian Institute of Physics Fellow of the Institute of Physics (UK) Throughout his career, Professor Batchelor has secured substantial research funding, including 18 consecutive years of support from the Australian Research Council through various fellowships and large grants. He has served as Principal Investigator on numerous projects, including current work on topological insulators, free parafermions, and the mathematical structure of the quantum Rabi model. His editorial roles include Editor-in-Chief of Journal of Physics A: Mathematical and Theoretical and membership on several editorial boards. Professor Batchelor is actively involved in research collaborations both within ANU and internationally, with visiting positions at universities including Amsterdam, Oxford, and Tokyo. He continues to lead significant research projects that bridge mathematical theory and quantum physics applications.

Robert Brownمشاهده پروفایل

مدرس ارشد

• Quantum Optics
• Magnetism
• Statistical Mechanics
• +۳ مورد دیگر

Robert Brown is a Senior Lecturer of Physics at Duke University's Trinity College of Arts & Sciences since 2023. His research focuses on applying algebraic and statistical methods to study equilibrium and nonequilibrium phenomena in quantum optics and magnetism, particularly through Monte Carlo simulations of critical behavior in Heisenberg models. Ph.D., Duke University (1982) His work bridges computational physics with theoretical models, including development of Langevin equation-based techniques for dynamic systems analysis. Research spans quantum mechanics, magnetism, and critical phenomena in condensed matter systems. Key publication trends include: classical Heisenberg model critical behavior studies (2006), finite size scaling (2005), and foundational contributions to non-muffin-tin band theory (1983-1988). His computational physics expertise extends to Beowulf cluster optimization (2000). He received a Monte Carlo Studies of Continuous Hamiltonian Systems Coupled to Dissipative Mechanisms grant from the Army Research Office (2001-2005). Current appointments include Senior Lecturer (2023-present), while previous roles include Lecturer (2010-2023) and Visiting Professor (2001-2010).

• Lattice QCD
• Quark Flavour Physics
• Quantum Computing for Quantum Field Theories
• +۲ مورد دیگر

Professor Matthew Bowen Wingate is a Professor of Theoretical Physics at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge, where he has been faculty since 2006. He is also a Fellow of Fitzwilliam College. His work is centered within the Theoretical High Energy Particle Physics Group at DAMTP. Wingate's research focuses on Lattice QCD, quark flavour physics, and quantum computing applications for quantum field theories. His work bridges traditional particle physics with emerging quantum computing technologies, particularly in simulating lattice gauge theories and exploring applications of quantum algorithms to high-energy physics problems. He has made significant contributions to understanding B meson decays, CP violation, and developing computational methods for quantum field theory simulations. His recent publications demonstrate a clear trend toward integrating quantum computing with traditional particle physics research. The articles show increasing focus on quantum simulation of physical systems, particularly the Fermi-Hubbard model and lattice gauge theories, while maintaining strong connections to fundamental particle physics questions through lattice QCD calculations of B meson decays and flavor physics. Wingate maintains active professional presence through his research group at Cambridge and his engagement with the broader physics community. His work sits at the intersection of theoretical particle physics and emerging quantum technologies, positioning him at the forefront of computational approaches to fundamental physics questions.

• Nonlinear Partial Differential Equations
• Mathematical Analysis
• Boltzmann Equation
• +۹ مورد دیگر

Pierre-Louis Lions is a Professor at the Collège de France in Paris, holding the Chair of "Partial Differential Equations and Applications" since 2002. He is also a Senior Fellow of the Hong Kong Institute for Advanced Study at City University of Hong Kong. His academic affiliations include membership in the French Academy of Sciences, Academia Europaea, and numerous other prestigious academies worldwide. His research spans nonlinear partial differential equations with major contributions to Boltzmann equation, compressible Navier-Stokes equations, Hamilton-Jacobi equations, Hartree-Fock equation, image processing, viscosity solutions, concentration compactness, mean field games, and stochastic partial differential equations. His theoretical work has significant applications across physics, engineering, economics, and other scientific disciplines. Analysis of his recent publications reveals a continued focus on mean field games theory, with his 2023 paper on Lipschitz solutions representing cutting-edge research that bridges pure mathematics with applications in economics and social sciences through game theory and optimization frameworks. His scientific awards include: Fields Medal (1994) Grand Prize Ampère from the French Academy of Sciences Grand Prize from the INRIA, France IBM Prize Philip Morris Prize Commandeur in the National Order of the Legion of Honor in France Professor Lions has held numerous leadership positions including Chairman of the Board of Directors of the Ecole Normale Supérieure and Chairman of the EDF Scientific Council. His editorial work includes serving as Chief Editor of Journal de Mathématiques Pures et Appliquées and membership on numerous mathematical journal editorial boards. He remains actively engaged in academic leadership through his participation in the Scientific Council of the Hong Kong Institute for Advanced Study and his upcoming teaching commitments at the Collège de France for 2025, where he will deliver courses on high-dimensional analysis and applied mathematics.

• Partial Differential Equations
• Mathematical Analysis
• Numerical Analysis
• +۶ مورد دیگر

Jose A. Carrillo de la Plata is Professor of the Analysis of Nonlinear Partial Differential Equations at the University of Oxford's Mathematical Institute and Tutorial Fellow in Applied Mathematics at The Queen's College. He serves as ICIAM Officer at Large and previously held positions at Imperial College London (2012-2020), Universitat Autònoma de Barcelona (2003-2012), University of Texas at Austin (1998-2000), and Universidad de Granada (1992-1998, 2000-2003). His educational background includes a PhD from Universidad de Granada alongside MA, MSc, and BSc degrees: PhD in Mathematics, Universidad de Granada MA, MSc, BSc (unspecified institutions) Carrillo's research centers on Partial Differential Equations with applications across physics, engineering, life sciences, and socio-economical modeling. His expertise includes long-time asymptotics, qualitative properties, and numerical schemes for nonlinear diffusion, hydrodynamic, and kinetic equations modeling collective behavior in many-body systems. Key applications span gas molecules in rarefied gases, granular media, semiconductor charge transport, neural synchronization in computational neuroscience, and cell movement via chemotaxis or adhesion forces. His work bridges rigorous mathematical analysis with computational implementation and real-world biological applications. His recent publications demonstrate strong trends in aggregation-diffusion equations, nonlocal interactions, and structure-preserving numerical methods for gradient flows. Key thematic areas include tissue growth modeling, neural field dynamics, pattern formation in particle systems, and the development of computational frameworks for complex biological phenomena. His work increasingly integrates Bayesian inference with continuum mechanics for biological applications. His scientific achievements have been recognized with prestigious awards: SEMA prize (2003) and GAMM Richard Von-Mises prize (2006) for young researchers Wolfson Research Merit Award (2012-2017) ERC Advanced Grant (2019) Echegaray Medal (2022) and International Tartufari Prize (2024) Election to European Academy of Sciences (2018), SIAM Fellow (2019), Academia Europeaea (2023), and Royal Academy of Sciences of Spain (2021) As an educator, Carrillo received the 2016 SACA award for best PhD supervision at Imperial College London. He leads research in Oxford's Mathematical Biology group and Oxford Centre for Nonlinear PDE, currently directing an ERC Advanced Grant on nonlocal PDEs for complex particle dynamics, phase transitions, patterns, and synchronization. His service includes chairing the European Mathematical Society's Applied Mathematics Committee (2014-2017) and serving as ICIAM Officer at Large since July 2024. He actively collaborates with Oxford's Mathematical Biology, Nonlinear PDE, and Numerical Analysis research groups while leading the European Academy of Sciences' Mathematics Division. His work bridges theoretical mathematics with interdisciplinary applications through partnerships with computational biologists and neuroscientists.