جست‌وجوی استاد و پژوهشگر

• Quantum Computation
• Computational Complexity Theory
• Quantum Physics
• +۲ مورد دیگر

Adam Bouland is an Assistant Professor of Computer Science at Stanford University, where he leads the CS Theory Group. His research focuses on quantum computation, computational complexity theory, and their connections to physics. He completed his Ph.D. at MIT under Scott Aaronson, followed by postdoctoral research at UC Berkeley and the Simons Institute under Umesh Vazirani. His research explores fundamental questions in quantum computing including quantum complexity classes, quantum supremacy demonstrations, pseudorandom quantum states, quantum algorithm design, and connections to high-energy physics through AdS/CFT correspondence. Recent work investigates computational aspects of quantum systems, quantum learning theory, and noise resilience in quantum devices. Professor Bouland leads an active research group including 6 PhD students and 1 postdoctoral researcher, with joint appointments across Computer Science, Physics, and ICME departments. He regularly teaches graduate courses on Quantum Computation (CS259Q) and Quantum Complexity Theory (CS359D). His service includes program committee membership for major theoretical computer science conferences including FOCS, STOC, ITCS, and QIP.

Greis Julieth Kim Reyesمشاهده پروفایل

استادیار

• Computational Materials Science
• Density Functional Theory
• Machine Learning in Materials Science
• +۵ مورد دیگر

Dr. Greis Julieth Kim Reyes serves as Assistant Professor of Physics in the Department of Physics and Astronomy at SUNY New Paltz, where she conducts computational research on semiconductor materials and defects. Her work bridges theoretical physics and practical materials design for energy applications. Her educational journey includes a Ph.D. in Physics from University at Buffalo (2024), Master's in Physics from Universidad Nacional de Colombia (2014), and Bachelor's in Physics-Education from Universidad Distrital Francisco José de Caldas (2010). This international background informs her interdisciplinary approach to materials science. Dr. Reyes specializes in computational exploration of intermediate band semiconductors, defect engineering, and magnetic materials using density functional theory (DFT) and machine learning. Her research reveals how atomic-scale defects create novel electronic properties, particularly in 2D materials like C 3 N/C 3 B bilayers and perovskite oxides. She employs iterative Kohn-Sham methods to simulate electronic behavior and optical responses, with recent work focusing on excitonic effects for solar energy applications. Analysis of her 15 most recent publications shows consistent emphasis on computational discovery of materials with tailored optical and electronic properties. Key trends include defect-enabled photocatalysis, interlayer exciton engineering in van der Waals heterostructures, and Jahn-Teller effects in doped semiconductors - all targeting next-generation energy technologies. Her scholarly recognition includes: Bahethi Scholarship (SUNY Buffalo, 2022) Silvestro Scholarship (SUNY Buffalo, 2022) Marshall Plan Foundation grant (Johannes Keppler Universität, 2018) As an educator, Dr. Reyes develops interactive quantum mechanics curricula using Mathematica simulations, as evidenced by her GitHub repository. She teaches General Physics and Quantum Physics courses while integrating computational tools to build student intuition for quantum materials. Though specific research students aren't listed, her teaching philosophy emphasizes critical thinking through problem-solving sessions and real-world applications. Her computational laboratory work focuses on first-principles simulations of materials, with active development of educational resources for quantum mechanics instruction. Current projects explore machine learning pipelines for materials discovery and defect-property relationships in emerging semiconductor systems.

• Materials Science
• Computational Chemistry
• Density Functional Theory
• +۳ مورد دیگر

Michael Herbst is an Assistant Professor (tenure-track) at EPFL, holding a joint appointment in the School of Basic Sciences (SB) and the School of Engineering (STI). He leads the Mathematics for Materials Modelling (MatMat) research group, focusing on error control in atomistic simulations, density-functional theory (DFT), and interdisciplinary computational methods. His work bridges mathematics, materials science, and computer science, emphasizing robust algorithms and Julia-based software development. Herbst holds a PhD from Heidelberg University and has held postdoctoral positions at RWTH Aachen and Inria Paris. He is a core member of the MARVEL and CESMIX research centers. Education: 2018: Dr. rer. nat. (magna cum laude), Heidelberg University 2009–2013: BA and MSci (1st class) in Natural Sciences, University of Cambridge 2008–2009: Studies in Mathematics/Physics, TU Kaiserslautern Research Interests : Herbst's research centers on developing reliable computational methods for materials modeling, including error estimation in DFT, black-box SCF algorithms, and Julia-based tools like the Density-Functional Toolkit (DFTK). His work addresses challenges in high-throughput simulations, numerical stability, and interdisciplinary collaboration across mathematics, physics, and computer science. Grants & Projects : MARVEL Center for Computational Design (EPFL) CESMIX Center for Extreme-Scale Simulations (MIT) EMC² Project (Sorbonne/Inria/École des Ponts) Awards : HGS MathComp PostDoc Fellowship (2018–2021) DAAD Travel Funding (2018) Exploratory Research Space Fund (RWTH Aachen, 2022) Labs & Teams : Head of the MatMat group at EPFL, focusing on error-controlled simulations and open-source software development.

Monika Schleier-Smithمشاهده پروفایل

دانشیار

• Quantum Simulation
• Quantum Metrology
• Quantum Computation
• +۵ مورد دیگر

Monika Schleier-Smith is an Associate Professor in the Physics Department at Stanford University, where she conducts groundbreaking experimental research at the intersection of quantum physics, atomic physics, and quantum information science. Her work focuses on advancing optical control of laser-cooled atom interactions to enable applications in quantum simulation, metrology, and computation. Ph.D. in Physics from MIT (2011) A.B. in Chemistry & Physics, Mathematics from Harvard (2005) 2014–2019: Postdoctoral research at LMU Munich and Max Planck Institute of Quantum Optics Her research explores the complex territory between few-particle quantum mechanics and macroscopic classical physics, aiming to engineer new quantum states and Hamiltonians with atomic ensembles. Key applications include entanglement-enhanced sensing, quantum gravity simulations, and quantum computing advancements. She has pioneered techniques for programmable non-local interactions in optical cavities, enabling studies on quantum scrambling and holographic duality. Recent publications demonstrate her focus on spin squeezing, quantum state engineering, and topological phases, with applications to quantum clocks, sensors, and computational systems. Her experimental work has direct implications for practical quantum technologies and fundamental physics research. 2024 Moore Foundation Experimental Physics Investigator 2023 Benjamin Franklin NextGen Award 2021 American Physical Society Fellow 2020 MacArthur Fellow As a doctoral advisor at Stanford, she mentors students in quantum simulation and entanglement research. Her laboratory (sslab.stanford.edu) develops novel approaches to quantum error correction and collaborates with Stanford-SLAC Quantum Science and Engineering Initiative.

• Quantum Computing
• Quantum Information Science
• Quantum Networking
• +۳ مورد دیگر

Norbert Linke is an Adjunct Assistant Professor in the Department of Physics at the University of Maryland , affiliated with the Joint Quantum Institute . His research focuses on experimental quantum computing with trapped atomic ions, emphasizing quantum information processing, quantum algorithms enhanced by machine learning, quantum simulation, and quantum networking using entangled photons. He holds a Dipl. Phys. from the University of Ulm (2007) and a D.Phil. in Atomic & Laser Physics from the University of Oxford (2013), where he worked under David Lucas. Before joining UMD, he conducted postdoctoral research at Oxford. Education: Bachelor's (Dipl. Phys.): University of Ulm, Germany (2007) Doctorate (D.Phil.): University of Oxford, U.K. (2013) Research Interests: Quantum algorithms with machine learning integration Quantum simulation of complex systems (e.g., quantum chromodynamics) Quantum networking via Sr+ ion-photon entanglement Development of robust quantum hardware (e.g., 3D monolithic traps) His recent work explores quantum advantage in finance, blind calibration of quantum computers, and optical control of qubits. The lab emphasizes scalable architectures and hybrid analog-digital simulations. While no scientific awards are explicitly listed, his contributions to trapped-ion systems and quantum networking are widely recognized in the field. Norbert advises researchers at the Joint Quantum Institute and collaborates on grants related to quantum computing hardware and algorithms. His team’s lab focuses on advancing ion-trap technology and explores future applications in quantum communication and computation.

Federico Beccaمشاهده پروفایل

دانشیار

• Theoretical Physics
• Condensed Matter Physics
• Strongly Correlated Systems
• +۴ مورد دیگر

Federico Becca is an Associate Professor in the Department of Physics at the University of Trieste . He is a theoretical condensed matter physicist specializing in strongly correlated electronic systems , with a focus on spin liquids , superconductivity , and topological phases . His research employs quantum Monte Carlo and exact diagonalizations to study lattice models like the Hubbard and Heisenberg models . Education: Laurea in Physics, Università La Sapienza, Roma (1996) PhD in Condensed Matter, ISAS-SISSA, Trieste (2000) Research Interests: Prof. Becca’s work centers on Mott insulators , spin-liquid phases , and superconductivity in systems with magnetic frustration and strong electron correlations. He investigates unconventional electronic states in reduced dimensions and explores the interplay between spin-phonon interactions and quantum phase transitions . Scientific Collaborations: Alberto Parola (Insubria University) Michele Fabrizio (SISSA) Roser Valenti (University of Frankfurt) Didier Poilblanc (University of Toulouse) Yasir Iqbal (Indian Institute of Technology Madras) Current Projects: Unravelling the intertwined correlated states of matter in moiré superlattices (funded by MINISTERO DELL'UNIVERSITA' E DELLA RICERCA). He also leads the "Studio computazionale del modelli di Kane and Mele" project as a Scholar at risk.

Bjorn Baumeierمشاهده پروفایل

دانشیار

• Multiscale Simulation
• Electronic Transport
• Computational Chemistry
• +۵ مورد دیگر

Bjorn Baumeier is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His research group is part of the Centre for Analysis, Scientific Computing and Applications (CASA) and the Institute for Complex Molecular Systems (ICMS). He also participates in several research groups including Scientific Computing, ICMS Core, Eindhoven Hendrik Casimir institute, and Computational Quantum & Molecular Dynamics. His educational background includes: Diploma in Theoretical Solid State Science from the University of Münster PhD in Theoretical Solid State Science from the University of Münster Baumeier's research focuses on the development and application of multiscale simulation techniques for studying electronic transport processes in soft matter. His work combines approaches from computational chemistry, statistical physics, and mathematics to analyze the interplay between molecular electronic structure and material morphology. Additional research lines include studies of disordered biomolecular assemblies and super-coarse-grained modeling of soft granular materials. His group employs large-scale computer simulations linking quantum chemistry, classical Molecular Dynamics at various levels, and rate-based models. Recent publications (2024-2025) demonstrate a strong focus on charge transport phenomena in complex materials, with particular emphasis on interface effects in polymer composites, trap identification in molecular networks, and embedded many-body Green's function methods. His work bridges fundamental physics with practical applications in energy materials and opto-electronic devices. Scientific awards include: Vidi grant from NWO (The Netherlands Organisation for Scientific Research) in 2017 (€800,000) Baumeier has received significant research funding, most notably the Vidi grant focusing on understanding mechanisms underlying long-distance and spin-selective electronic transport in complex molecular systems. His research is often conducted in collaboration with multiple institutions and research groups within TU/e, indicating a strong interdisciplinary approach. His work has practical applications in opto-electronic devices and bio-molecular processes. His research group operates within the Computational Quantum & Molecular Dynamics group, which is part of several larger research initiatives at TU/e including ICMS and the Eindhoven Hendrik Casimir institute. This positioning allows for strong collaboration across physics, chemistry, and engineering disciplines.

Richard Scalettarمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Phase Transitions
• Superconductivity
• +۵ مورد دیگر

Distinguished Professor of Physics at the University of California Davis College of Letters and Science since 1989. Primary affiliation with the Department of Physics, with significant cross-disciplinary collaborations in Applied Mathematics and Computer Science through NSF and DOE grants. Research focuses on quantum many-body phenomena in condensed matter systems and ultracold atomic gases. Expertise spans magnetism, superconductivity, metal-insulator transitions, and quantum phase transitions. Pioneers advanced Quantum Monte Carlo simulation techniques, particularly determinant quantum Monte Carlo for Hubbard and electron-phonon models. Current work investigates spatial inhomogeneities in quantum phases and strong interparticle interactions. Recent publications reveal growing integration of machine learning with quantum simulation. Research trends indicate deepening exploration of SU(N) symmetric systems, flat-band quasicrystals, photonic quantum simulators, and neural quantum states. Increasing emphasis on interdisciplinary approaches combining condensed matter theory, quantum information science, and computational mathematics. Key methodological focus remains on overcoming fermionic sign problems and developing scalable numerical algorithms. Principal investigator for major grants from the National Science Foundation (NSF), Department of Energy (DOE), Office of Naval Research (ONR), and Defense Advanced Research Projects Agency (DARPA). Significant funding through NSF Information Technology Research and DOE Scientific Discovery through Advanced Computing Programs for quantum simulation algorithm development.

• Mathematical Physics
• Partial Differential Equations
• Probability
• +۳ مورد دیگر

Felipe Hernández is an Assistant Professor in the Department of Mathematics at Pennsylvania State University. He is affiliated with the Department of Mathematics, located in McAllister Building, and can be contacted at felipeh@psu.edu. His research interests span Mathematical Physics, Partial Differential Equations, and Probability, with a focus on quantum systems, stochastic processes, and theoretical analysis of complex systems. His work explores topics such as quantum diffusion in disordered systems, decoherence dynamics, and the interplay between classical and quantum mechanics. He also investigates computational methods like neural networks to enhance accuracy in quantum chemistry calculations and explores foundational questions in quantum computing, such as BosonSampling complexity. Recent contributions include studies on Hodge systems, divergence-free vector fields, and endpoint estimates in functional analysis. While no specific awards or grants are listed, his research demonstrates a commitment to advancing mathematical physics and computational methods through rigorous theoretical analysis and interdisciplinary approaches.

• Quantum Simulation
• Quantum Gases
• Many-Body Physics
• +۳ مورد دیگر

Tarik Yefsah is a Researcher at the Physics department of École Normale Supérieure, affiliated with the Kastler Brossel Laboratory. His research focuses on quantum simulation, quantum gases, and many-body physics. He contributes to advancements in ultracold fermi gases and precision measurements in quantum systems. His work includes experimental and theoretical studies of correlated quantum systems, with a particular emphasis on imaging techniques and understanding collective phenomena in cold atom systems. Yefsah leads the Ultracold Fermi Gases Lab, exploring topics such as quantum correlations, superfluidity, and topological phases in ultracold matter. Recent research highlights include quantum gas microscopy of fermionic systems, in situ imaging of single-atom wave packets, and investigations into many-body localization transitions. His studies bridge fundamental physics with potential applications in quantum technologies and analog quantum simulation platforms.

Yoram Alhassidمشاهده پروفایل

استاد

• Theoretical Nuclear Physics
• Many-Body Quantum Systems
• Nuclear Many-Body Problem
• +۱۵ مورد دیگر

Yoram Alhassid is the Frederick Phineas Rose Professor of Physics in the Department of Physics at Yale University, where he leads a research group focused on theoretical nuclear and many-body physics. His work bridges nuclear physics, mesoscopic systems, and ultracold atomic gases, using advanced computational methods such as quantum Monte Carlo and the configuration-interaction shell model. His research interests include the nuclear many-body problem, femtoscience and nanoscience (nuclei, quantum dots, nanoparticles), and cold atomic Fermi gases. He has developed and applied the shell model Monte Carlo (SMMC) method to study statistical and collective properties of nuclei, such as level densities, deformation, and pairing correlations. He has extended these methods to study cold Fermi gases, particularly in the unitary regime, where he has investigated pseudogap phenomena, heat capacity, and pairing gaps. The recent publications highlight a strong focus on nuclear level densities, γ-ray strength functions, deformation effects, and quantum Monte Carlo methodologies. There is a clear trend toward microscopic, ab initio calculations of nuclear and many-body properties, with increasing attention to odd-mass and deformed nuclei, as well as the interplay between pairing and collective phenomena. Scientific Awards: Frederick Phineas Rose Professor of Physics Alhassid advises students and postdoctoral researchers, as evidenced by numerous co-authored publications. His group has developed advanced computational tools and codes (e.g., HF-SHELL) for finite-temperature mean-field and shell model calculations. The research is supported by high-performance computing and has implications for nuclear astrophysics, radioactive beam facilities, and quantum simulation with cold atoms. His lab focuses on theoretical and computational modeling of finite-size quantum many-body systems, with close collaborations across nuclear theory, condensed matter, and atomic physics. The group emphasizes method development, benchmarking against mean-field theories, and extracting model-independent signatures of physical phenomena such as deformation and pairing.

• Partial Differential Equations
• Quantum Physics
• Mathematical Physics
• +۳ مورد دیگر

Norbert J. Mauser is a Professor of Mathematics at the University of Vienna 's Faculty of Mathematics. He serves as Director of the Wolfgang Pauli Institute and Co-Director of the Jungen Kurie at the Austrian Academy of Sciences. Mauser coordinates major EU projects like HYKE and DEASE , focusing on hyperbolic and kinetic equations, differential equations, and their applications in science and engineering. Research Interests : Mauser specializes in Partial Differential Equations (PDEs) , particularly Nonlinear Schrödinger Equations (NLS) , with applications in Quantum Physics and Computational Materials Science . His work spans mathematical modeling , numerical methods , and asymptotic analysis , addressing problems in micromagnetism , quantum correlation , and nonrelativistic limits . He explores Wigner transforms , stochastic NLS , and multi-configuration Hartree-Fock equations for quantum systems. Scientific Contributions : Grants & Projects : Principal Investigator for START Award , FWF , WWTF , and ANR-FWF projects on quantum dynamics, correlation, and nano-sensors. Collaborations : Active in international networks including CNRS Groupement de Recherche on kinetic equations and quantum physics. Publishing : Senior editor for journals like Asymptotic Analysis and Communications in Mathematical Sciences . Labs & Teams : Leads projects under Vienna Computational Materials Laboratory (ViCoM) and contributes to multi-scale modeling of nano-biosensors. His research integrates computational methods with theoretical physics, emphasizing quantum systems and nonlinear PDEs.

Gustavo Scuseriaمشاهده پروفایل

استاد

• Computational Quantum Chemistry
• Electronic Structure Theory
• Strong Correlation
• +۸ مورد دیگر

Gustavo Scuseria is the Robert A. Welch Professor of Chemistry, Professor of Physics and Astronomy, and Professor of Materials Science and NanoEngineering at Rice University . He is a leading figure in computational quantum chemistry , with seminal contributions to electronic structure theory , coupled cluster methods , and density functional theory (DFT) functionals like HSE and PBE0. His research spans strong correlation , symmetry-projection techniques , and quantum computing applications . Education: PhD in Physics (1983) from University of Buenos Aires Research: Pioneered linear scaling quantum methods , developed HSE functional for semiconductor band gaps, and advanced symmetry-projected wave function approaches Awards: Feynman Prize in Nanotechnology, Humboldt Research Award, Guggenheim Fellowship, and multiple Fellowships from ACS, APS, and RSC Software Contributions: Key developer of Gaussian suite and TURBOMOLE implementations His recent publications focus on symmetry-projected methods for spin systems, dualities in electron correlation , and quantum computing applications . Collaborations with institutions like Los Alamos National Laboratory and Max-Planck Institute have shaped his interdisciplinary approach. Scuseria's work remains foundational for quantum chemistry software and materials science research.

• Algebraic Geometry
• Differential Geometry
• Geometric Complexity Theory
• +۴ مورد دیگر

Joseph Landsberg is the Owen Professor and Professor in the Department of Mathematics at Texas A&M University , affiliated with the College of Arts & Sciences . His research focuses on Algebraic Geometry, Differential Geometry, and their applications to computational complexity, particularly matrix multiplication and tensor analysis. He has contributed to geometric complexity theory, secant varieties, and the study of symmetric tensors. Education: Ph.D., Mathematics, Duke University, 1990 Habilitation, Université de Toulouse, 1997 B.Sc. and M.Sc., Brown University, 1986 Research Interests: Landsberg explores the geometry of tensors, matrix multiplication algorithms, and complexity theory. His work bridges algebraic geometry, representation theory, and computational problems, with applications in quantum computing and cryptography. Recent studies include secant varieties, border rank analysis, and symmetry exploitation in tensor networks. Grants & Awards: AF: Small grants (2022, 2018) for complexity theory and matrix multiplication research Labs & Affiliations: Affiliated with the Institute for Applied Mathematics and Computational Science (IAMCS) at Texas A&M. His work intersects with interdisciplinary teams in computational mathematics and theoretical physics.

Daniel Blankschteinمشاهده پروفایل

استاد

• Colloid and interface science
• Electrochemistry
• 2D nanomaterials
• +۵ مورد دیگر

Professor Daniel Blankschtein is the Herman P. Meissner (1929) Professor in the Department of Chemical Engineering at MIT. His research focuses on colloid and interface science, with applications in energy, nanotechnology, and biomedical engineering. He has pioneered studies on surfactant systems, 2D nanomaterials (e.g., graphene, carbon nanotubes), and interfacial phenomena involving electronic polarization effects. Blankschtein has authored over 230 publications and 15 patents, and his textbook Lectures in Classical Thermodynamics with an Introduction to Statistical Mechanics (2021) synthesizes decades of teaching expertise. Education: PhD (1983), MSc (1979), BSc (1977) in Chemical Engineering from Tel-Aviv University. His awards include the Capers and Marion McDonald Award (2015) and multiple MIT Outstanding Faculty Awards. He leads the DB Group, which develops theoretical and experimental frameworks for nanomaterials and surfactant systems, with applications in water desalination, drug delivery, and energy storage. Research highlights include molecular simulations of water slip flow in carbon nanotubes, ion adsorption at solid-water interfaces, and surfactant-mediated stabilization of nanomaterials. His work bridges fundamental thermodynamics with practical engineering solutions, emphasizing pedagogy and mentorship. Recent projects explore polarization-driven interfacial effects and nanoconfined fluid behavior. Lab Group: DB Group at MIT ChemE Key Collaborations: MIT Energy Initiative, National Science Foundation Grants: Seed grants for energy storage and nanomaterials research