جستجوی استاد راهنمای دانشگاهی

Jeannette Bohg is an Assistant Professor of Computer Science at Stanford University, directing the Interactive Perception and Robot Learning Lab. Previously, she was a group leader at the Autonomous Motion Department (AMD) of the MPI for Intelligent Systems (2012-2017). She holds a PhD from KTH Royal Institute of Technology (Stockholm) and degrees from Chalmers University and TU Dresden. Her research focuses on perception, learning, and real-time multi-modal methods for autonomous robotic manipulation and grasping, aiming to bridge principles of human sensorimotor coordination with robotic implementation. Education: PhD in Robotics (KTH), MSc in Art & Technology (Chalmers), Diploma in Computer Science (TU Dresden) Research interests include developing goal-directed, real-time robotic systems capable of meaningful feedback for execution and learning. Key areas are dexterous manipulation, imitation learning, and cross-embodiment policy transfer. Notable contributions include the TidyBot platform and work on force-aware surgical robotics. Awards include the 2019 IEEE ICRA Best Paper Award, 2019 IEEE RA Early Career Award, and 2020 RSS Early Career Award. Her lab explores intersections of robotics, ML, and computer vision. Advising: Actively mentoring students/postdocs in manipulation, perception, and learning. Grants and collaborations span NSF, Stanford AI Lab, and industry partnerships. Future work emphasizes robust real-world deployment and human-robot collaboration. Labs/Teams: Leads the Interactive Perception and Robot Learning Lab, contributing to Stanford’s AI ecosystem. Previously managed the MPI AMD group, fostering interdisciplinary research in autonomous systems.

• Robotics
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

GONG Jiangbin serves as Professor and Head of Department at the National University of Singapore (NUS), holding the prestigious Provost's Chair Professorship (2020-2026). He is a Principal Investigator at the Centre for Quantum Technologies (CQT) with office S12-02-10 and contact email phygj@nus.edu.sg. Education: PhD, University of Toronto, Canada (2001) His research program centers on topological quantum phenomena, with primary focus on novel topological phases of matter and their applications in quantum computation and information transfer. The group actively investigates quantum dynamics control, quantum simulation frameworks for metrology/sensing applications, disorder physics in few/many-body systems, quantum chaos, and emerging quantum machine learning paradigms to bridge theoretical advances with practical quantum technologies. Analysis of recent publications (2018-2024) reveals consistent expertise in topological quantum systems, spanning non-Abelian braiding in Majorana time crystals, Thouless pumping with single spins, exotic Floquet semimetals, acoustic topological platforms, and KPZ physics in Anderson localization - demonstrating deep integration of theoretical modeling with experimental quantum platforms. Scientific Awards: Provost's Chair Professorship (2020-2026) National Research Foundation Investigatorship (class of 2017) No explicit information regarding student advising or specific research grants was provided in the source material, though his leadership role suggests significant mentorship responsibilities and grant oversight. Gong leads a multidisciplinary research group at CQT/NUS that synergizes theoretical quantum physics with experimental quantum technologies, maintaining active collaborations across quantum simulation, topological materials, and quantum information science to advance next-generation quantum computing architectures.

• Topological Phases of Matter
• Quantum Computation
• Quantum Information
• +۶ مورد دیگر

Miguel Rodrigues is a Professor of Information Theory and Processing at University College London's Department of Electronic & Electrical Engineering. He leads the Information, Inference and Machine Learning Lab at UCL and serves as the founder and director of the master programme in Integrated Machine Learning Systems. Rodrigues is also the UCL Turing University Lead and a Turing Fellow with the Alan Turing Institute, the UK National Institute of Data Science and Artificial Intelligence. His academic background includes an undergraduate degree in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto, Portugal, and a PhD in Electronic and Electrical Engineering from University College London. He has held appointments at prestigious institutions worldwide including Cambridge University, Princeton University, Duke University, and the University of Porto. Dr. Rodrigues's research spans information theory, information processing, and machine learning. His work has attracted over £5 million in funding from competitive national and international funding bodies and resulted in more than 250 publications with over 8000 citations in leading journals and conferences, including top AI venues like NeurIPS, ICML, and ICLR. His recent publications demonstrate a strong focus on multimodal learning, machine learning security, climate modeling with satellite data, and applications of AI in healthcare and precision medicine. His work shows increasing interdisciplinary collaboration across fields from climate science to pharmaceutical engineering. IEEE Communications and Information Theory Societies Joint Paper Award 2011 Fellow of the Institute of Electronics and Electrical Engineers (IEEE) Prize for Merit from the University of Porto Prize Engenheiro Cristian Spratley Prize Engenheiro Antonio de Almeida Fellowships from the Portuguese Foundation for Science and Technology Fellowships from the Foundation Calouste Gulbenkian Dr. Rodrigues has served as Editor for IEEE BITS – The Information Theory Magazine and IEEE Transactions on Information Theory, among other editorial roles. He consults widely in machine learning and AI with government institutions, funding agencies, industry, and startups, and sits on committees responsible for AI standardization such as the BSI Art/1 working group. His leadership extends to directing research labs and educational programs focused on advancing machine learning systems. He leads the Information, Inference and Machine Learning Lab at UCL, which focuses on fundamental aspects of information theory and their applications to machine learning and data processing. The lab works on both theoretical foundations and practical implementations of learning systems.

• Information Theory
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Bryan K. Clark is an Associate Professor in the Department of Physics at the University of Illinois, with his office located in the Engineering Sciences Building. He leads the Clark Research Group, which works at the intersection of quantum information, condensed matter physics, machine learning, and computing. Clark's research spans four main areas: Quantum Computing , where his group develops quantum algorithms and collaborates with experimentalists on superconducting qubit systems; Quantum Many-Body Physics , where he applies computational methods to understand emergent behavior in strongly correlated systems; Algorithms for the Quantum Many-Body Problem , where his group has pioneered techniques like Neural Network Backflow (NNBF) that represent state-of-the-art accuracy for simulating fermions and frustrated magnetism; and Machine Learning for Experiment , where his group develops techniques to analyze experimental data like scanning transmission electron microscopy images. His publication record demonstrates consistent innovation in bridging theoretical quantum information science with practical applications. Recent work focuses on neural network approaches to quantum simulation, quantum error correction/mitigation, and novel qubit architectures like the Floquet Fluxonium Molecule. His research shows a clear trajectory from fundamental questions about the quantum-classical boundary to practical implementations in quantum hardware. Clark actively mentors graduate students, with recent thesis defenses by Faisal Alam, Matt Thibodeau, Chad Germany, James Allen, and Abid. His group has secured significant funding from the NSF and IBM's IIDAI institute to support research in quantum computing and machine learning applications for nano-photonics manufacturing and error mitigation. The Clark Research Group maintains strong connections with experimental teams, particularly in superconducting qubit development and materials characterization. They've developed computational tools like QOSY (Quantum Operators from SYmmetry) that are publicly available on GitHub and have gained recognition in the quantum information community.

• Condensed Matter Physics
• Quantum Information Science
• Quantum Computing
• +۴ مورد دیگر

Christine Muschik is an Associate Professor at the Institute for Quantum Computing (University of Waterloo) and Associate Faculty at Perimeter Institute for Theoretical Physics. Her research bridges quantum technologies with particle physics to develop hybrid quantum-classical simulation techniques. University of Waterloo (2017–present) Perimeter Institute (2019–present) University Research Chair (2022–present) Her work focuses on quantum simulation, quantum sensing, and high-dimensional quantum computing (qudits). Key applications include lattice gauge theories, quantum chemistry, and fundamental particle interactions. Recent publications highlight advancements in qudit-based simulation of vacuum dynamics and SU(2) hadron models. Awards include the CIFAR Azrieli Global Scholar Fellowship (2020–2022), Sloan Fellowship (2019), and Emmy Noether Fellowship (2018). Nature Physics 2025: Qudit simulation of lattice gauge theories Nature Communications 2021: SU(2) hadron modeling Nature 2016: Few-qubit lattice gauge simulations She teaches advanced quantum physics courses at the University of Waterloo and leads the "Quantum Interactions" research group.

• Quantum Computing
• Quantum Simulation
• Quantum Information Science
• +۴ مورد دیگر

Jose D'Incao is an Associate Research Professor at the University of Colorado Boulder and an Associate Fellow at JILA, a joint institute of the National Institute of Standards and Technology (NIST) and the University of Colorado. His research focuses on ultracold atomic systems, particularly the study of few-body correlations in atomic systems at ultracold temperatures, including Efimov physics and quantum dynamics in Bose-Einstein condensates. His work addresses fundamental challenges in atomic, molecular, and nuclear physics, with applications to quantum control and novel phases of matter. His research interests include the theoretical analysis of three-body recombination processes, universal few-body physics in spinor condensates, and the interplay between coherence and dissipation in ultracold gases. He has contributed to understanding the generalized Efimov effect in one and two dimensions and explored dynamics in systems such as hybrid ion-atom mixtures and optical lattices. Key projects include studies of Efimov states via Feshbach resonances, light-assisted collisions in optical tweezers, and precision measurements of many-body interactions in microgravity. His work often involves collaboration with experimental groups to bridge theoretical predictions with advancements in cold atom technologies. Jose D'Incao has received funding from the National Science Foundation (NSF) and the Binational Science Foundation (BSF) for projects exploring universality in few-body systems and coherent control of Efimov physics. His research has implications for precision metrology, quantum simulation, and the development of novel quantum technologies.

• Ultracold Quantum Gases
• Efimov Physics
• Few-Body Systems
• +۳ مورد دیگر

Robert Seiringer is a Professor at the Institute of Science and Technology Austria (ISTA). His academic career spans institutions including McGill University (Associate Professor, 2011–2013) and Princeton University (Assistant Professor, 2003–2010; Postdoc, 2001–2003). His research focuses on quantum many-body systems , mathematical physics , and quantum statistical mechanics , with significant contributions to Bose-Einstein condensation, superfluidity, and polaron models. Research Trends : His recent work explores superconductivity (BCS theory), quantum gases (Bose-Einstein condensation, Landau-Pekar equations), and mathematical tools for non-perturbative analysis. Key subfields include stability of many-body systems, spectral theory, and Density Functional Theory. Awards : Fellow, American Mathematical Society Corresponding Member, Austrian Academy of Sciences ERC Advanced Grant Henri Poincaré Prize (IAMP) Alfred P. Sloan Fellow Erwin Schrödinger Fellow Collaborations : Leads a research group at ISTA with postdocs (e.g., Davide Desio, Lorenzo Pigozzi) and collaborators (e.g., C. Hainzl, B. Schlein).

• Quantum many-body systems
• Mathematical physics
• Quantum statistical mechanics
• +۵ مورد دیگر

Professor Roxanne P. Springer is a faculty member at Duke University's Department of Physics within Trinity College of Arts & Sciences, specializing in weak interactions and quantum chromodynamics (QCD). Her research explores fundamental symmetry violations and hadronic structure through effective field theories. Education: Ph.D. in Physics from California Institute of Technology (1990) Research Interests: Springers work focuses on hadronic parity violation, large-Nc expansion, and precision nuclear physics. She applies pionless effective field theory (EFT(π/)) to study neutron-deuteron capture, two-nucleon interactions, and neutrinoless double-beta decay. Her projects bridge QCD symmetries with nuclear dynamics. Publication Trends: Recent works emphasize large-Nc scaling, parity-violating observables, and cross-section calculations in nuclear reactions. Key topics include Wigner-SU(4) symmetry, renormalization group constraints, and hadronic structure analysis. Scientific Awards: POWRE Visiting Professorship (1998-1999) Grants: Principal investigator for DOE-funded projects on lattice QCD and effective field theory since 2005. Co-PI for multiple DOE grants on high-energy nuclear physics from 1990-2005. Includes support for strangeness physics and extreme energy density studies. Teaching: Taught graduate courses on quantum mechanics, quantum field theory, and nuclear physics since 2022. Led methods courses for physics research. Advising: Chaired thesis and preliminary committees for students including James Wheeler (2019), Adryanna Major (2020), and Qiaofeng Liu (2021). Mentored graduate students Xincheng Lin, H Nguyen, and Son Nguyen through 2021.

• Quantum Chromodynamics
• Weak Interactions
• Effective Field Theory
• +۴ 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.

• Computational Materials Science
• Density Functional Theory
• Machine Learning in Materials Science
• +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 Simulation
• Quantum Metrology
• Quantum Computation
• +۵ مورد دیگر

Dr. Philipp Preiss is the Group Leader of the Atomic Quantum Matter research group at the Max Planck Institute of Quantum Optics. His work focuses on experimental quantum information science applied to ultracold atomic systems, leveraging quantum gas microscopy and optical lattice technologies to study many-body quantum systems with single-particle control. He leads the UniRand project, funded by an ERC Starting Grant, which aims to develop a novel optical lattice system for studying quantum phase transitions and entanglement dynamics at the intersection of condensed matter physics and quantum information science. Research Interests: Quantum simulation using ultracold atoms Entanglement dynamics in many-body systems Quantum phase transitions and criticality Optical lattice engineering and single-atom control Random unitary protocols and basis-independent measurements Key Contributions: His recent work explores emergent hydrodynamic behavior in fermionic systems, Cooper pairing in two-dimensional Fermi gases, and novel cooling techniques like quantum virtual cooling. The group also investigates skyrmion ground states and Pauli crystals in rotating ultracold gases. Awards: ERC Starting Grant (2020): UniRand – Random Unitaries in a Rapid Optical Lattice Simulator Advising & Infrastructure: His labs include the FermiQP Lab and Lithium Lab , equipped for advanced quantum gas microscopy and optical tweezer experiments. The group collaborates on interdisciplinary projects, such as the HDvent Emergency Ventilator System , demonstrating applications of quantum engineering principles in medical technology.

• Quantum Information
• Ultracold Atoms
• Quantum Many-Body Systems
• +۳ مورد دیگر

Dr. Yeong E. Kim is Professor of Physics at Purdue University, where he has maintained continuous faculty appointment since 1967. He currently serves as Director of the Center for Sensing Science and Technology (CSST) since 2001 and leads the Purdue Nuclear and Many-Body Theory Group. His academic career spans over five decades with significant contributions to theoretical physics. Undergraduate studies at Seoul National University (1954-1955) B.S. from Lincoln Memorial University (1959) Ph.D. from University of California, Berkeley (1963) Dr. Kim's research spans theoretical nuclear physics with extensions into condensed matter physics, atomic/molecular/optical physics, nuclear astrophysics, and quantum statistical mechanics. His most distinctive work focuses on theoretical frameworks for low-energy nuclear reactions in condensed matter environments, particularly examining how quantum effects in metal hydrides might enable nuclear reactions at substantially lower energies than conventional nuclear physics predicts. His research bridges fundamental quantum theory with potential applications in clean energy technologies and sensing science. Analysis of Dr. Kim's publication record reveals a consistent trajectory exploring quantum statistical mechanics applications to nuclear phenomena. His work demonstrates increasing focus on Bose-Einstein condensation mechanisms applied to nuclear fusion in metal hydride systems, with particular attention to micro/nano-scale phenomena. This research direction represents an unconventional approach to nuclear reaction theory that has generated both interest and debate within the physics community. Fellow of the American Physical Society (elected 1977) Senior U.S. Scientist Award from Alexander von Humboldt Foundation (1977) Dr. Kim has supervised 10 Ph.D. students throughout his career and authored or co-authored over 200 refereed scientific publications. As Director of CSST, he has successfully translated research into commercial applications, guiding the creation of six startup companies (Griffin Analytical, Prosolia, Quadraspec, 2K, PathoChip, and QE) based on technologies developed by CSST researchers. His leadership extends to numerous advisory roles for government agencies and international conferences in nuclear physics, including chairing the first Gordon Research Conference on Few Body Problems in Physics (1977) and serving on multiple international advisory committees for Asia-Pacific conferences on Few-Body Problems. Dr. Kim leads the Purdue Nuclear and Many-Body Theory Group, established in 1967, and directs the Center for Sensing Science and Technology. His research group has maintained consistent productivity for decades, with recent work focusing on theoretical interpretations of anomalous nuclear phenomena in condensed matter systems. The CSST under his direction has become a significant hub for translating fundamental physics research into practical sensing technologies with commercial applications.

• Theoretical Nuclear Physics
• Condensed Matter Physics
• Atomic Molecular and Optical Physics
• +۵ مورد دیگر

Aleksas Mazeliauskas is a theoretical physicist and Assistant Professor at Heidelberg University's Institute for Theoretical Physics. Since 2022, he has led an Emmy Noether Research Group funded by the German Research Foundation (DFG), and as of 2024, serves as a project leader at the Collaborative Research Center ISOQUANT. His research focuses on many-body phenomena in high-energy hadron collisions and ultracold quantum gases. Emmy Noether Research Group Leader (2022-present) Project Leader, CRC ISOQUANT (2024-present) Senior Research Fellow, CERN (2019-2022) Postdoctoral Researcher, Heidelberg University (2017-2019) Mazeliauskas specializes in understanding emergent collective phenomena in systems of varying sizes and energy scales, with particular interest in thermalization and hydrodynamic behavior in isolated quantum systems. His work bridges theoretical physics with experimental observations from facilities like CERN's Large Hadron Collider. By analyzing heavy-ion collisions, he investigates how quark-gluon plasma forms and thermalizes, connecting these processes to broader phenomena across physics disciplines. His publication record demonstrates consistent contributions to understanding non-equilibrium dynamics in quantum systems, with recent work focusing on QCD phase transitions, hydrodynamic attractors, and energy loss mechanisms in nuclear collisions. His research group actively contributes to advancing our understanding of fundamental particle interactions under extreme conditions. 2022-2026: Emmy Noether Programme grant from DFG 2021: FCT junior researcher position (declined) 2019: Nuclear Physics A Young Scientist Award 2017: Max Dresden Prize for outstanding theoretical thesis 2016: APS FGSA Travel Award for Excellence in Graduate Research 2013: David Fox award for outstanding Teaching Assistant Mazeliauskas actively mentors students and postdoctoral researchers while securing competitive funding for his research program. His group develops computational tools like KøMPøST and FastReso for analyzing pre-equilibrium dynamics in heavy-ion collisions. He maintains strong international collaborations, particularly with CERN and Stony Brook University. Beyond research, Mazeliauskas is committed to outreach, co-organizing Girls' Day events at Heidelberg and leading physics sections at Lithuania's National Student Academy. His laboratory work focuses on computational modeling of quark and gluon kinetic theory, with applications to both high-energy nuclear collisions and ultracold quantum gases. The group's current projects include thermalization dynamics in heavy-ion collisions (Project A01) and origins of collectivity in few-body systems (Project ABC).

• Theoretical Physics
• Quantum Chromodynamics
• Heavy-Ion Collisions
• +۷ مورد دیگر

Philip Johnson is a Professor and Chair of the Department of Physics at American University (AU), where he has been since 2006. He also serves as Director of the Integrated Space Science and Technology Institute (ISSTI), supporting over 20 AU faculty and external partners like NASA's Goddard Space Flight Center. His research focuses on quantum computing, superconducting qubits, ultracold atoms, and effective interactions in few-body systems. He holds a PhD in Theoretical Physics from the University of Maryland and completed postdoctoral work at NIST and the University of Maryland's superconducting quantum computing group. His academic leadership roles include Associate Dean of Research for AU's College of Arts and Sciences and service on the American Physical Society's council. His research explores quantum control, nonequilibrium dynamics, and applications in quantum sensing and metrology. Key areas include ultracold bosons in optical lattices, nonlocal interactions, and hybrid machine learning approaches for quantum systems. He collaborates with institutions like the Joint Quantum Institute and Johns Hopkins Applied Physics Laboratory. Johnson's recent work advances theoretical frameworks for few-atom systems and superconducting qubits, with publications addressing topics like topological properties of interactions and correlations in quantum systems. His contributions span experimental and theoretical physics, emphasizing interdisciplinary applications in space science and technology through ISSTI.

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

Professor Cindy Regal holds the Baur-SPIE Endowed Chair in Optical Physics and Photonics at the University of Colorado Boulder, affiliated with JILA, a joint institute of the university and NIST. Her research focuses on engineering isolated quantum systems for quantum information and optics, particularly manipulating single/few neutral atoms and controlling phonons in mesoscopic oscillators using optical interfaces and laser cooling. She has pioneered optomechanical systems, including laser-cooled membranes and microwave-to-optical transducers. Regal’s work bridges atomic physics and quantum engineering, with applications in quantum sensors and quantum networks. Education/Background : Ph.D. in Physics, notable contributions in ultracold atoms and optomechanics. Her research interests emphasize quantum optomechanics, cryogenic Rydberg atom arrays, and electro-optic quantum converters. Collaborations include projects like the National Quantum Nanofab (NQN), funded by NSF, and the Quantum Systems Accelerator. Recent publications (2025) highlight advancements in Rydberg atom trapping, optomechanical cooling, and quantum magnetometry. Awards include the Brown Investigator (2025) and Baur-SPIE Chair (2020). Teaching : Courses include Physics 2010 (Classical Mechanics), 3330 (Electronics for Physical Sciences), and advanced quantum mechanics. Funding sources include NSF, Brown Institute, AFOSR, and ONR. Her lab (Regal Lab) collaborates with groups like JILA’s Kaufman and Lehnert teams. Future work includes scaling quantum systems and developing quantum technologies.

• Quantum Physics
• Quantum Optics
• Atomic Physics
• +۳ مورد دیگر