جست‌وجوی استاد و پژوهشگر

Antoine Tilloyمشاهده پروفایل

استادیار

• Quantum Mechanics
• Quantum Field Theory
• Tensor Networks
• +۷ مورد دیگر

Antoine Tilloy is an Assistant Professor at the Centre Automatique et Systèmes, Mines ParisTech, part of Paris Sciences et Lettres (PSL). He is also affiliated with the Quantic research team at Inria, reflecting his dual academic and research institute role. His work bridges theoretical physics, quantum information, and nuclear engineering, with a focus on tensor networks and quantum field theory. Research Interests: Quantum Field Theory (non-perturbative methods) Tensor Networks for many-body quantum systems Quantum Foundations and Measurement Theory Semiclassical and Quantum Gravity Nuclear Engineering and Fuel Cycle Physics His recent research has explored the application of tensor networks to solve quantum field theories, the philosophical and technical challenges in defining QFT rigorously, and the physics of nuclear fuel recycling. He advocates for a 'pile of dirt' approach—tackling messy, realistic models over highly structured but artificial ones. Scientific Contributions: Active contributor to non-perturbative QFT methods ERC-funded research and postdoctoral supervision Public engagement through blog posts and science communication Advising and Grants: While specific students are not listed, he leads an ERC-funded project and has advertised postdoctoral positions, indicating active mentorship. His research is supported by competitive European funding, underscoring its significance in the field. Labs and Teams: He is a member of the Quantic team at Inria, a leading research group in quantum information and technologies, and conducts his work at the Centre Automatique et Systèmes at Mines ParisTech.

• Condensed Matter Physics
• Electronic Structure Theory
• Many-Body Quantum Theory
• +۶ مورد دیگر

Krister Karlsson is a Professor of Physics at the University of Skövde, affiliated with the School of Engineering Science. His research focuses on theoretical condensed matter physics, particularly in the areas of electronic structure calculations, many-body quantum theory, and density functional theory. With a career spanning several decades, Professor Karlsson has made significant contributions to our understanding of correlated electron systems, magnetic materials, and semiconductor physics. Professor Karlsson's research interests center on the theoretical foundations of condensed matter physics. His work explores the electronic structure of materials using advanced computational methods including GW approximation, dynamical mean field theory, and first-principles calculations. He has made particular contributions to understanding orbital magnetism, electron correlations in cuprates and dilute magnetic semiconductors, and the development of theoretical frameworks for describing complex quantum materials. His research bridges fundamental quantum theory with practical applications in materials science and spintronics. Analysis of Professor Karlsson's publication record reveals a consistent focus on developing and applying advanced theoretical methods to understand complex quantum phenomena in solids. His work spans from fundamental investigations of many-body effects in simple systems to applications in technologically relevant materials like dilute magnetic semiconductors. A notable trend is his long-standing interest in improving the accuracy of electronic structure calculations for strongly correlated systems, with publications spanning from early work on plasmon satellites in the 1990s to recent developments in time-dependent density functional theory. Professor Karlsson has supervised numerous research projects and students throughout his career, contributing to the development of the next generation of theoretical physicists. His collaborative research extends across international boundaries, with frequent co-authorship with researchers from various institutions. Professor Karlsson maintains an active research laboratory focused on computational condensed matter physics. His team utilizes advanced computational methods to investigate electronic structure problems, with particular emphasis on developing more accurate theoretical frameworks for describing correlated electron systems. The research group maintains strong connections with experimental groups to validate theoretical predictions and guide new experimental investigations.

Yi Luمشاهده پروفایل

استاد

• Correlated Electron Systems
• Quantum Many-Body Systems
• Condensed Matter Physics
• +۳ مورد دیگر

Yi Lu is a Professor in the Department of Physics at Nanjing University, specializing in correlated electron systems and the development of advanced numerical methods. His research focuses on quantum many-body problems, with contributions to computational tools like the Quanty package. He holds a Ph.D. from the Max Planck Institute for Solid State Research (Germany) and completed postdoctoral work at Heidelberg University’s Institute for Theoretical Physics. His work bridges theory and materials science, addressing superconductivity in nickelates and cuprates. Research interests include method development for quantum impurity solvers, tensor networks, and machine learning applications in physics. Recent studies explore electronic correlations in superconducting materials and the theoretical interpretation of experimental techniques like resonant inelastic X-ray scattering. Teaching includes leading courses on Group Theory and its applications in condensed matter physics. Advising focuses on graduate students interested in computational and theoretical approaches to correlated electron systems. No specific grants or awards are listed, though his contributions to the field are evident through his publication record and software development efforts. Labs/Teams: The Quanty quantum many-body computation package, developed in his group, provides accessible tools for modeling quantum systems with minimal programming expertise.

Tim Skarasمشاهده پروفایل

مدرس

• Quantum Physics
• Machine Learning
• Condensed Matter Physics
• +۲ مورد دیگر

Tim Skaras is a Lecturer in the Department of Physics at Cornell University. His research intersects quantum physics, condensed matter systems, and computational methods, with a focus on dynamical phenomena in low-dimensional quantum gases and machine learning applications in quantum tomography. Key research areas include: Dynamical fermionization in spinor quantum gases Quantum state and process tomography Machine learning for quantum measurement optimization Numerical methods for parabolic equations His recent publications demonstrate expertise in quantum dynamics, information theory, and computational physics, though specific awards or student advisement details are not available from current departmental information.

Dominika Zgidمشاهده پروفایل

استاد

• Theoretical Condensed Matter Physics
• Theoretical Atomic, Molecular & Optical Physics
• Quantum Chemistry
• +۳ مورد دیگر

Dr. Dominika Zgid is a Professor of Physics and Chemistry at the University of Michigan. Her research focuses on theoretical condensed matter physics, theoretical atomic, molecular, and optical physics, with a strong emphasis on developing advanced computational methods to understand electron correlation effects in materials and molecules. She holds a Ph.D. from the University of Waterloo (2008) and a B.Sc. from the University of Warsaw (2003). Her work bridges chemistry, physics, and materials science, aiming to create accurate theoretical tools for predicting experimentally relevant properties. Key projects include developing self-energy embedding theory (SEET), improving GW approximations, and exploring quantum computing applications for electronic structure problems. She has been recognized with a NSF CAREER Award in 2015 for her innovative contributions to Green's function methods. Zgid’s research addresses challenges such as describing weakly and strongly correlated electrons in transition metal systems, optimizing basis sets for solids, and modeling catalytic surfaces. Her group actively collaborates on projects involving molecular magnets, quantum dots, and superexchange mechanisms in heterostructures.

Charlotte Dietzeمشاهده پروفایل

پژوهشگر

• Analysis
• Mathematical Physics
• Partial Differential Equations
• +۲ مورد دیگر

Charlotte Dietze is a Researcher at the Mathematical Institute of the Ludwig Maximilian University of Munich (LMU), within the Faculty of Mathematics, Computer Science and Statistics. She is an active member of the Working Group Analysis, Mathematical Physics and Numerics, teaching advanced courses including Mathematical Quantum Mechanics (WS 2024/2025) and Numerics I, and maintaining a dedicated office in Block B, 3rd floor, room 333. Her research centers on the rigorous mathematical foundations of physical systems, with core expertise in Analysis and Mathematical Physics . She investigates Partial Differential Equations governing quantum phenomena, Spectral Theory of operators on singular domains, and Many-body Quantum Mechanics systems. Her work bridges abstract mathematical frameworks with concrete physical applications, particularly in quantum dynamics and spectral asymptotics. Recent publications reveal a concentrated focus on spectral behavior in non-smooth geometries (e.g., Hölder domains and singular manifolds), eigenvalue problems with unconventional boundary conditions, and quantum many-body instabilities. Her 2024-2025 work demonstrates increasing sophistication in handling singular metrics and nonlinear quantum systems, often through novel analytical inequalities and semiclassical methods. No scientific awards are documented in the available information. While specific advising activities and grant funding are not detailed, her role in organizing the 2023 Workshop for Young Researchers indicates engagement with emerging scholars. Her PhD thesis Spectral estimates for singular systems establishes foundational work in her field. As a core member of LMU's Working Group Analysis, Mathematical Physics and Numerics, she contributes to a collaborative environment focused on spectral theory, quantum mechanics modeling, and numerical validation of analytical results, fostering interdisciplinary research at the mathematics-physics interface.

Simen Kvaalمشاهده پروفایل

پژوهشگر

• Quantum Chemistry
• Many-Body Quantum Physics
• Computational Methods
• +۳ مورد دیگر

Simen Kvaal is a permanent Researcher at the Department of Chemistry, University of Oslo, specializing in computational quantum chemistry and many-body physics. He holds an ERC Starting Grant and leads collaborative projects at the Centre for Advanced Study. His academic background includes: MSc in Physics, University of Oslo (2004) PhD in Physics, University of Oslo (2009) under Prof. Morten Hjorth-Jensen and Prof. Ragnar Winther Dr. Kvaal's research centers on rigorous mathematical approaches to quantum chemistry methodology, particularly density-functional theory and coupled-cluster methods. He pioneers applications of the bivariational principle for solving time-dependent and stationary Schrödinger equations, bridging theoretical physics with applied mathematics to develop physically realistic computational models. His work emphasizes both single-reference and multireference formulations, with recent focus on time-dependent dynamics. Analysis of his 15 most recent publications reveals dominant trends in Gaussian basis set development for quantum dynamics, Rothe's time-propagation methods, and coupled-cluster theory extensions. Key thematic clusters include time-dependent electronic structure simulations, magnetic field effects in quantum systems, error diagnostics for wave function methods, and optimization-based quantum dynamics formulations – all advancing computational frameworks for many-body quantum problems. His scientific recognition includes: ERC Starting Grant (2014) As a supervisor, Dr. Kvaal mentors computational science projects including: Acceleration of Many-Electron Attosecond Dynamics Simulations Molecular Noninteracting Kinetic Energy by Machine Learning Quantum Computing Algorithms for many-body quantum systems He leads a Centre for Advanced Study project (2021-2022) with Prof. Thomas Bondo Pedersen, supported by his ERC grant and institutional resources. He is embedded within the Centre for Theoretical and Computational Chemistry at UiO, collaborating on interdisciplinary quantum chemistry initiatives that integrate mathematical rigor with computational innovation for molecular and materials science applications.

Matthias Troyerمشاهده پروفایل

پژوهشگر

• Quantum Computing
• High Performance Computing
• Computational Physics
• +۳ مورد دیگر

Matthias Troyer is a Principal Researcher in the Quantum Group at Microsoft, focusing on quantum computing since 2017. His work spans numerical modeling of quantum hardware and exploring applications for quantum computers. His research interests include: Quantum Computing High Performance Computing Computational Physics Quantum Simulation Island Ecosystems Troyer's recent publications emphasize quantum computing, machine learning integration, and condensed matter physics, with subfields ranging from quantum algorithms to topological materials. Scientific awards include: Hamburg Prize for Theoretical Physics (2019) Aneesur Rahman Prize for Computational Physics (2016) ERC Advanced Grant (2011) ETH Medal (1994) International Chemistry Olympiad Gold Medal (1986)

Daniel Hendrik Malzمشاهده پروفایل

استادیار

• Quantum Information Theory
• Quantum Optics
• Many-Body Physics
• +۵ مورد دیگر

Daniel Hendrik Malz is an Assistant Professor in the Department of Mathematical Sciences at the University of Copenhagen. His research focuses on theoretical aspects of quantum technology, with particular emphasis on quantum information theory, quantum optics, and many-body physics. He is embedded in the Quantum for Life center and QMATH research group, and maintains strong collaborations with experimental groups at the nearby Niels Bohr Institute. Dr. Malz received his PhD from the University of Cambridge (2015-2018) under the supervision of Andreas Nunnenkamp, following his BA and MMath at Trinity College, Cambridge (2011-2015). He held postdoctoral positions at the Max Planck Institute of Quantum Optics (2018-2022) working with Ignacio Cirac, and at the Technical University of Munich (2022-2023) with Johannes Knolle, before joining the University of Copenhagen as an Assistant Professor in April 2023. His research program spans several interconnected areas in quantum physics. In quantum optics, he investigates many-body phenomena in open quantum systems, particularly collective effects like superradiance in waveguide QED and chiral systems. His work in quantum information theory focuses on the computational complexity of quantum many-body problems, random quantum circuits, and the boundary between classically simulable and quantum-computationally hard problems. He has made significant contributions to tensor network state preparation, developing efficient methods for creating these important quantum states. In quantum simulation, he explores novel approaches to simulating complex quantum systems, particularly using atomic arrays and superconducting circuits. Dr. Malz's publication record shows a strong focus on theoretical quantum physics with increasing engagement with experimental implementations. His recent work demonstrates a trend toward more applied research that bridges theoretical concepts with experimental feasibility, particularly in the areas of photonic quantum computing and superconducting circuit implementations. The breadth of his work spans fundamental theoretical questions to potential applications in quantum simulation and computation. Dr. Malz is actively building his research group at the University of Copenhagen and is hiring both PhD students and postdoctoral researchers. He maintains strong connections with experimental groups, particularly in the quantum optics section of the Niels Bohr Institute, and is part of Copenhagen's vibrant quantum research ecosystem, which includes the Novo Nordisk Quantum Computing Programme. His research group operates within the Department of Mathematical Sciences but is deeply integrated with Copenhagen's broader quantum research community, including collaborations with the Niels Bohr Institute and participation in the Quantum for Life center. This interdisciplinary environment allows for close interaction between theoretical and experimental researchers across multiple quantum platforms.

Yu Tongمشاهده پروفایل

استادیار

• Quantum Algorithms
• Tensor Network Methods
• Quantum Embedding Methods
• +۱ مورد دیگر

Yu Tong is an Assistant Professor in the Department of Mathematics and Electrical and Computer Engineering at Duke University, and a member of the Duke Quantum Center. His research bridges quantum computation, many-body physics, and mathematical algorithms for quantum systems. Education: Ph.D. in Applied Mathematics, University of California, Berkeley (2022) B.S. in Computational Mathematics, Peking University (2017) Research Focus: Professor Tong develops theoretical and algorithmic frameworks for quantum computation. His work spans: 1) Quantum algorithms for simulating fermionic/bosonic systems and solving quantum chemistry problems; 2) Tensor network methods for analyzing quantum many-body systems; 3) Quantum embedding techniques for scalable simulations; and 4) Quantum learning theory for Hamiltonian identification and conservation law discovery. His research targets both near-term devices and fault-tolerant architectures. Publication Trends: Recent articles focus on quantum simulation efficiency, error mitigation, Hamiltonian learning, and ground-state preparation, with consistent applications in quantum chemistry and condensed matter physics. Methodological innovations include Heisenberg-limited scaling approaches and tensor network optimizations. Academic Service: Program Committee: QCTIP 2023/2025, TQC 2023, QSIM 2025 Editorial Board: Quantum journal

• Quantum Computing
• Machine Learning
• Combinatorial Optimization
• +۳ مورد دیگر

Dr. Roberto Bondesan is a Senior Lecturer in Quantum Computing at the Department of Computing, Faculty of Engineering, Imperial College London. He holds a PhD in theoretical physics from UPMC Paris and has conducted research at the Universities of Cologne and Oxford on topological phases of quantum matter, focusing on materials for quantum computing and electronics. He later led machine learning research at Qualcomm AI, developing quantum neural networks and optimizing chip design using Bayesian optimization, reinforcement learning, and graph neural networks. His current research integrates quantum computing and machine learning to address computational challenges in optimization and quantum system simulation. He is affiliated with Imperial X and actively supervises PhD students through departmental scholarships. His research interests include quantum algorithms for combinatorial optimization, quantum error correction, and machine learning-driven quantum system simulation. Notable projects involve applying neural networks to quantum error correction and leveraging ML techniques for efficient quantum Gibbs sampling of complex systems like the Fermi-Hubbard model. Education: PhD in Theoretical Physics, UPMC Paris His publications span quantum computing applications, including quantum machine learning frameworks, optimization algorithms, and lattice gauge theories modeled via generative flow networks. He has contributed to advancing quantum advantage assessment in Gaussian processes and probabilistic numeric convolutional neural networks. Current work emphasizes bridging quantum algorithms with practical engineering solutions. Awards: No awards explicitly listed in provided texts. He advises students through Imperial College's scholarships and maintains collaborations with industry (e.g., Qualcomm) and academic networks (Imperial X). His lab focuses on translating theoretical quantum computing breakthroughs into real-world applications.

• Many-body systems
• Nuclear astrophysics
• Nuclear physics
• +۲ مورد دیگر

Alessandro Roggero is an Associate Professor at the Department of Physics, University of Trento. His teaching responsibilities include Advanced Quantum Mechanics, Computational Physics, and Scientific Programming courses. His research spans nuclear physics, quantum computing, and many-body systems, with a focus on quantum algorithms for simulating nuclear dynamics and neutrino oscillations. University: University of Trento Department: Department of Physics Email: a.roggero@unitn.it His work integrates quantum computing with nuclear physics, emphasizing quantum Monte Carlo methods, error mitigation, and optimization algorithms. Recent publications highlight advancements in simulating neutrino oscillations, lattice gauge theories, and many-body systems using quantum processors. Teaching activities include courses on quantum mechanics and computational physics, aiming to equip students with analytical tools for scattering processes, symmetry applications, and numerical simulation techniques.

• Quantum Physics
• Quantum Computing
• Quantum Technology
• +۳ مورد دیگر

Göran Johansson is a Professor of Applied Quantum Physics at Chalmers University of Technology in Gothenburg, Sweden. Since January 1, 2025, he has served as the director of the Wallenberg Centre for Quantum Technology, a major research initiative spanning from 2018 to 2030. His academic career is centered on quantum physics research with a focus on both fundamental phenomena and practical quantum technology applications. Professor Johansson's research spans quantum physics, quantum technology, and quantum computing. He investigates fundamental quantum mechanical effects such as the dynamic Casimir effect, which describes photon generation from vacuum when a mirror accelerates at relativistic speeds. His applied research focuses on building quantum computers that leverage quantum superposition and entanglement to solve problems beyond the reach of classical supercomputers, with potential applications in drug discovery, artificial intelligence, and optimization problems like traffic planning. His work bridges theoretical quantum physics with practical implementation in superconducting circuits. An analysis of his recent publications reveals a strong focus on quantum computing hardware, particularly superconducting qubits and quantum processors. His research addresses key challenges in quantum computing including decoherence, quantum gate fidelity, quantum error correction, and quantum state engineering. There's a clear progression toward more complex quantum systems, with recent work exploring multi-qubit gates, quantum algorithms for practical applications, and integration of quantum processors. His publications consistently appear in top physics journals including Physical Review Letters, Physical Review A/B, and npj Quantum Information. Professor Johansson has received two significant awards for his contributions to quantum physics: Edlund Prize 2016 from the Royal Swedish Academy of Sciences Albert Wallin Science Prize 2015 from the Royal Society of Science and Letters in Gothenburg He leads or participates in multiple major research projects including the Wallenberg Centre for Quantum Technology (2018-2030), Quantum Networks with Delay and High-Impedance Transmission Lines (2022-2025), Quantum Information with Microwaves and Surface Acoustic Waves (2018-2021), and Quantum Plasmonics (2017-2022). These projects involve collaborations with numerous researchers across Chalmers and with external partners, supported by funding from the Swedish Research Council (VR) and the Knut and Alice Wallenberg Foundation. As director of the Wallenberg Centre for Quantum Technology, Professor Johansson oversees one of Sweden's largest quantum research initiatives, which includes a broad team of researchers working on quantum computing, quantum communication, and quantum sensing. His research group focuses on superconducting quantum circuits, exploring both fundamental quantum phenomena and practical implementations for quantum information processing. The group works extensively with microwave quantum optics and has made significant contributions to the understanding and manipulation of quantum states in superconducting systems.

Tameem Albashمشاهده پروفایل

عضو هیئت علمی

• Quantum Information Science
• Quantum Computing
• Quantum Annealing
• +۷ مورد دیگر

Tameem Albash is a Research Associate Professor at the University of New Mexico , affiliated with the Department of Physics and Astronomy in the College of Arts and Sciences . His research focuses on quantum information science, quantum computing, and quantum annealing. He holds a PhD from the University of Southern California (2010). Education: PhD in Physics, University of Southern California, 2010 Research interests include quantum annealing optimization, quantum simulation, noise mitigation in quantum systems, and the interplay between quantum error correction and classical computational methods. His work explores topics like non-stoquastic Hamiltonians, many-body localization, and the application of machine learning to quantum systems. Recent studies investigate the efficiency of quantum annealing hardware for combinatorial problems, decoherence effects in quantum simulations, and the use of neural networks for state approximation. His articles highlight advancements in classical simulation techniques for quantum phenomena, such as analyzing macrostate vs. microstate dynamics in 1D Ising models. He also examines hybrid approaches combining quantum and classical methods to address limitations in current quantum hardware. Despite no listed awards, his contributions to quantum computing benchmarks and hardware validation are notable. Labs/Teams: Albash's research aligns with UNM's Quantum Information Science initiatives, though specific lab affiliations are not detailed in the provided text.

Lin Linمشاهده پروفایل

استاد

• Numerical Analysis
• Quantum Chemistry
• Quantum Algorithms
• +۳ مورد دیگر

Lin Lin is a Professor in the Department of Mathematics at the University of California, Berkeley, and a Senior Faculty Scientist at Lawrence Berkeley National Laboratory. His research bridges computational quantum many-body problems, quantum algorithms, and numerical analysis, with affiliations to the Computational Research Division and CAMERA (Center for Advanced Mathematics for Energy Research Applications). Research Interests: Quantum chemistry, quantum algorithms, numerical analysis, and computational quantum physics. Scientific Awards: Sloan Research Fellowship (2015), NSF CAREER (2017), DOE Early Career (2017), SIAM CSE Early Career (2017), PECASE (2019), ACM Gordon Bell Team (2020), Simons Investigator (2021), and APS Outstanding Referee (2025). Contact: linlin@math.berkeley.edu | Office: 817 Evans Hall. Publications span quantum algorithms, Hamiltonian simulation, and computational methods in quantum chemistry. His seminars, like the Quantum Many-Body Seminar (Math 290) , engage students and researchers in cutting-edge topics such as quantum control, tensor networks, and open quantum systems. He leads the UC Berkeley / LBNL Applied Math Seminar and is an invited speaker at the 2026 International Congress of Mathematicians.