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Lorenzo Campos VenutiView profile

Adjunct Associate Professor

• Condensed Matter Physics
• Quantum Information Processing
• Quantum Statistical Mechanics
• +7 more

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
• +5 more

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 ProkofievView profile

Professor

• Condensed Matter Theory
• Quantum Monte Carlo Methods
• Strongly Correlated Systems
• +4 more

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
• +4 more

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 FrieseckeView profile

Professor

• Electronic structure of atoms and molecules
• Calculus of variations
• Molecular dynamics
• +3 more

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. MendlView profile

Assistant Professor

• Quantum Computing
• Tensor Network Methods
• Computational Physics
• +3 more

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
• +6 more

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 BrownView profile

Senior Lecturer

• Quantum Optics
• Magnetism
• Statistical Mechanics
• +3 more

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
• +2 more

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
• +9 more

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
• +6 more

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.

Heiko HergertView profile

Associate Professor

• Nuclear Physics
• Quantum Chromodynamics (QCD)
• Ab Initio Nuclear Many-Body Theory
• +7 more

Heiko Hergert is an Associate Professor in the Department of Physics & Astronomy at Michigan State University, affiliated with the Facility for Rare Isotope Beams (FRIB). His research focuses on ab initio nuclear many-body theory, leveraging chiral effective field theory and renormalization group methods to model exotic nuclei and address fundamental questions in nuclear physics. Key research areas include: Developing novel many-body techniques for open-shell nuclei Uncertainty quantification in theoretical nuclear models Applications to neutrinoless double-beta decay Quantum computing approaches for nuclear structure Integration of machine learning with ab initio frameworks His work combines advanced computational methods with experimental collaborations to study nuclear structure across the nuclear chart, particularly in regions relevant to FRIB experiments. Scientific Achievements: 2017 U.S. Department of Energy Early Career Research Program Award Pioneer in extending ab initio calculations to heavy isotopes Key contributor to the In-Medium Similarity Renormalization Group (IMSRG) methodology Professor Hergert's theoretical developments enable predictive modeling of nuclei with controlled uncertainties, directly informing experimental programs at NSCL/FRIB while addressing computational challenges in memory optimization and parallelization.

Morten Hjorth JensenView profile

Professor

• Nuclear Physics
• Many-Body Theory
• Computational Physics
• +4 more

Morten Hjorth Jensen is a Professor at Michigan State University's Department of Physics & Astronomy and affiliated with the National Superconducting Cyclotron Laboratory (NSCL). His research spans theoretical physics, computational methods, and machine learning applications in nuclear and condensed matter systems. He collaborates globally on nuclear many-body problems and quantum computing. University of Oslo (adjunct research involvement) Research Interests: Dr. Jensen focuses on solving Schrödinger's and Dirac's equations for many-body systems, with applications to nuclear structure, neutron stars, and quantum computing. His work explores three-body forces, neural network quantum states, and machine learning techniques for computational physics challenges. Publication Trends: Recent articles emphasize machine learning integration in nuclear physics, quantum computing simulations, and neural network applications for infinite matter systems and electron entanglement studies. Topics span from fundamental nuclear stability to computational method advancements. Education: 1993 Ph.D. in Theoretical Nuclear Physics, University of Oslo. Contributions: Co-developed the Computing in Science Education initiative, integrating computational methods into undergraduate physics courses to enhance research-based teaching approaches.

Lode PolletView profile

Professor

• Theoretical Condensed Matter Physics
• Quantum Monte Carlo Simulations
• Cold Atomic Systems
• +5 more

Lode Pollet is a Professor at the Faculty of Physics, Ludwig Maximilian University of Munich (LMU). His research focuses on Theoretical Condensed Matter Physics , Quantum Monte Carlo Simulations , and Disordered Systems . Current research topics include Machine learning applications to quantum phase characterization Spin liquids in centred pyrochlore lattices Fracton models for quantum error correction Cold atomic systems phenomenology His work has been supported by prestigious grants: Marie-Curie Researcher Integration Grant 'FDIAGMC' (2012-2016) ERC Starting Grant 'QUSIMGAS' (2013-2018) ERC Consolidator Grant 'QSIMCORR' (2018-2023) These fundings enabled exploration of quantum phase transitions, topological order, and numerical methods for many-body systems. Recent publications highlight trends in Machine learning for phase diagrams Quantum simulation of frustrated magnets Fracton models in 3D quantum memory Polaron transport in photovoltaics His group collaborates with institutions like University of Würzburg University of Massachusetts, Amherst Max Planck Institute and offers PhD positions in Theoretical Condensed Matter Physics.

Hamza FawziView profile

Professor

• Mathematical Optimization
• Quantum Information Theory
• Convex Optimization
• +5 more

Hamza Fawzi is a Professor in the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge, where he leads a research group focused on mathematical optimization with applications in quantum theory. His work bridges theoretical mathematics and practical computational methods for quantum information processing. Professor Fawzi received his PhD in 2016 from MIT under the supervision of Pablo Parrilo. His research interests span mathematical optimization, quantum information theory, convex optimization, quantum many-body systems, and semidefinite programming. He has developed significant theoretical frameworks and practical algorithms for problems in quantum theory, including the design of optimization algorithms specifically tailored for quantum information applications. His recent publications demonstrate a strong focus on quantum information processing through the lens of optimization theory. The research trends show consistent advancement in developing certified algorithms for quantum Hamiltonian problems, quantum relative entropy optimization, and quantum conic programming. His work often involves applying convex optimization techniques to solve challenging problems in quantum information theory, with particular emphasis on developing reliable numerical methods and theoretical guarantees. Professor Fawzi leads a research group with current members Ahmad Al-Sulami, Giorgio Facelli, Samuel O. Scalet, and Shengding Sun. Former group members include Kun Fang (now Assistant Professor at CUHK-Shenzhen) and Oisín Faust (now at Tower Research Capital). He has developed notable software tools including QICS (a convex optimization solver for quantum information theory) and CVXQUAD (a MATLAB-based package for quantum entropies and divergences). He teaches advanced courses at Cambridge including Part II Numerical Analysis (Michaelmas 2023), Part IB Numerical Analysis (Lent 2020), and Part III Topics in Convex Optimization (Michaelmas 2019). His teaching covers fundamental numerical methods, optimization algorithms, and their applications in mathematical physics.