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Lincoln D. CarrView profile

Professor

• Quantum Information Science
• Complexity Sciences
• Condensed Matter Physics
• +5 more

Lincoln D. Carr is a Professor in the Department of Physics at the Colorado School of Mines, where he investigates fundamental questions at the quantum-classical boundary, novel quantum computing paradigms beyond standard models, and interdisciplinary STEM education approaches. His work bridges theoretical physics with real-world problem-solving for global challenges like energy systems and political stability. His research spans critical domains: Quantum Information Science and Engineering Complexity Sciences and Emergent Phenomena Condensed Matter and Atomic Molecular Optical Physics Applied Mathematics and Computational Science Science Policy and Diplomacy Initiatives Humanities-STEM Integration Frameworks Analysis of his 2023-2025 publications reveals dominant themes in fractional quantum mechanics (Schrödinger/Ising models), Goldilocks quantum cellular automata, multiscale quantum media, and quantum optimization via oscillating fields. His numerical work achieves unprecedented precision in modeling anomalous transport, while his quantum education leadership drives national workforce development strategies. No specific scientific awards are documented in the source material. As a core faculty member, Carr mentors graduate students in quantum information and complexity science, though individual advisees aren't listed. His national workshop leadership indicates active grant involvement in quantum education infrastructure. He spearheads national quantum education policy through workshops establishing centers for quantum workforce development, demonstrating commitment to science diplomacy and interdisciplinary training frameworks that connect quantum physics with societal challenges.

• Cryptography
• Embedded Systems
• Biometrics
• +5 more

Mariano Lopez Garcia is a researcher at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Electronic Engineering at the Polytechnic School of Engineering of Vilanova i la Geltrú (EPSEVG). He is part of the SARTI research group, focusing on technological development in remote sensing and information processing, as well as the SARTI-MAR subgroup addressing marine environment applications. His work emphasizes embedded systems, cryptography, and biometric security, with a strong emphasis on FPGA-based hardware-software co-design for cybersecurity and post-quantum cryptography solutions. His research spans over 150 activities, including peer-reviewed publications, competitive R&D projects, and conference presentations. Key areas include post-quantum cryptography (e.g., McEliece cryptosystem implementations), biometric authentication systems, FPGA acceleration for real-time processing, and control systems for power electronics. Notable projects include developing secure cryptographic key protection against side-channel attacks and creating low-cost embedded systems for signature verification. He has collaborated on initiatives such as the Projecte R+D+I competititu for vector processors in biometric identification and the TEC2015-68784-R project on scalable identification systems. His contributions also extend to power electronics, including sliding mode control for resonant converters and electronic transformer designs. Recent publications (2025) highlight advancements in post-quantum cryptography using FPGA hardware accelerators and constant-weight code-based encryption. His work bridges theoretical research with practical applications in embedded systems and cybersecurity, often leveraging reconfigurable hardware for efficient and secure solutions.

Walter O. KrawecView profile

Associate Professor

• Quantum Cryptography
• Quantum Information Theory
• Quantum Key Distribution
• +5 more

Walter O. Krawec is an Associate Professor of Computer Science at the University of Connecticut. His research focuses on quantum cryptography and quantum information theory, particularly exploring quantum resources in cryptographic applications and entropic uncertainty relations. He advises students at all levels and leads a research group with active projects in quantum key distribution (QKD), quantum networks, and secure microgrids. Research Interests: - Quantum Cryptography and Quantum Key Distribution (QKD) - Entropic Uncertainty Relations - Quantum Network Security and Protocols - High-Dimensional Quantum Systems - Semi-Quantum Communication Protocols - Quantum Sampling and Resource Analysis Key Research Trends in Articles: His work spans theoretical security proofs for QKD protocols, practical implementations in satellite and hybrid networks, and applications to power grid security. Recent efforts emphasize optimizing key rates, mitigating quantum noise, and developing protocols compatible with NISQ devices. Scientific Awards: None explicitly listed in provided texts. Advising & Grants: - Advised over 15 students (PhD, MS, Undergraduate) since 2016. - Involved in NSF grants like 'CAREER: Hybrid Approaches to Quantum Cryptography' and 'CIF: Small: Secure Quantum Communication with Limited Resources.' - Developed open-source software tools for QKD protocol analysis and simulation. Labs/Teams: Collaborates with interdisciplinary teams on quantum networks, including work with JPMorgan Chase's Future Lab and power grid security initiatives.

Robert HarrisonView profile

Professor

• High-Performance Computing (HPC)
• Computational Chemistry
• Quantum Chemistry
• +3 more

Robert Harrison is a Professor and Endowed Director of the Institute for Advanced Computational Science at Stony Brook University. His research focuses on scientific computing and computational chemistry methodologies for high-performance supercomputers. He holds a Ph.D. in Theoretical Chemistry from the University of Cambridge (1984). His work emphasizes advancing computational frameworks for extreme-scale systems, including projects like NWChemEx and MADNESS. He collaborates on optimizing applications for cutting-edge architectures such as ARM-based HPC clusters (e.g., Ookami) and NVIDIA GPU superchips. Harrison’s contributions span molecular modeling, quantum chemistry simulations, and HPC performance benchmarking. Key projects include developing scalable algorithms for electronic structure calculations, porting legacy codes to modern architectures, and advancing task-based programming paradigms for parallel computing. His research addresses challenges in exascale computing, energy efficiency, and the design of selective binding agents for heavy elements like lanthanides and actinides.

• Software Defined Radio
• AI/ML for Wireless Communications
• Cyber Security
• +3 more

Ruolin Zhou is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Massachusetts Dartmouth, part of the College of Engineering. She joined UMass Dartmouth in 2018 after serving as a tenured Associate Professor at Western New England University from 2012 to 2018. Her research focuses on software-defined radio (SDR), AI/ML-driven wireless communications, spectrum sensing, cyber & electromagnetic spectrum security, and hardware security. Her work has been supported by grants from NSF, ONR, AFRL, ARL, and industry partners like Lockheed Martin. Dr. Zhou holds a PhD in Engineering from Wright State University (2012), an MS in Electrical Engineering (2007), and a BS in Electrical Engineering from Dalian Jiaotong University (2003). She teaches courses including Foundations of Cybersecurity, Digital Logic Design, and Software-Defined Radio. Her research has led to innovations in FPGA-accelerated deep learning architectures, real-time spectrum monitoring, and secure communication systems. Her contributions have been recognized with awards including the 2024 IEEE Region 1 Outstanding Teaching Award, ONR Summer Faculty Research Fellowships (2022-2023), and Best Demo Awards at GLOBECOM 2010. She actively serves in IEEE roles, including Vice President for Technical Activities within the IEEE Reliability Society (2025) and steering committee memberships in IEEE Future Networks and IoT Technical Communities.

• Quantum Many-Body Physics
• Quantum Optics
• AMO Physics
• +3 more

Andrew Daley is a Professor at the Department of Physics, University of Strathclyde, where he leads the Computational Nonlinear & Quantum Optics Group. His research focuses on quantum many-body physics, quantum optics, and atomic/molecular/optical (AMO) physics, particularly exploring non-equilibrium dynamics of quantum gases and quantum simulation techniques. Daley investigates both coherent many-body dynamics (including transport phenomena and metastable quantum phases) and dissipative quantum dynamics (such as engineered dissipation for state preparation). His work bridges theoretical physics with experimental implementations in ultracold atomic systems, with applications in quantum computing and quantum information processing. His publications demonstrate consistent focus on quantum simulation platforms, optical lattice systems, and entanglement dynamics. Recent work explores quantum quenches, noise-resilient quantum systems, and novel quantum computational architectures using alkaline earth atoms and Rydberg systems. Daley maintains active collaborations with major quantum research centers worldwide and contributes to several research consortia including IGSQT, QOQMS, and QUISCO.

Mahshid DelavarView profile

Lecturer

• Quantum Cryptography
• Post-Quantum Security
• Authentication Protocols
• +1 more

Mahshid Delavar is a Lecturer in Cybersecurity at the University of Sheffield's School of Computer Science. Her research develops cryptographic solutions for long-term security in communication systems including IoT networks and vehicular ad-hoc networks. She investigates quantum technology impacts on secure computation. Current grants include the Innovate UK-funded 'Secure Call' project (2025) for caller authentication systems. Her work addresses practical cryptographic primitives for real-world network security challenges.

Dzmitry MatsukevichView profile

Associate Professor

• Quantum Information Processing
• Quantum Thermodynamics
• Precision Measurements
• +2 more

Dzmitry Matsukevich is an Associate Professor at the National University of Singapore , conducting research at the Centre for Quantum Technologies (CQT). His work focuses on quantum information processing, quantum thermodynamics, and precision measurements using single trapped ions. Research Interests: The Matsukevich group investigates quantum computing and simulations through control of ion motional states, quantum thermodynamics with atomic-scale heat machines, and phonon counting via cross-Kerr nonlinearity. Their research bridges theoretical concepts with experimental implementations in quantum engineering. Recent Publications: Highlights include hybrid quantum computing with beam splitter gates (2020), quantum absorption refrigerators (2019), and microwave control techniques in trapped ion systems (2014). The lab explores applications in quantum control, nonlinear interactions, and thermodynamic performance in quantum regimes. Laboratory Affiliation: The research is conducted within the Dzmitry Matsukevich Group at the Centre for Quantum Technologies, Singapore.

Yvonne Y. GaoView profile

Assistant Professor

• Quantum Computing
• Quantum Information Processing
• Superconducting Circuits
• +4 more

Yvonne Y. Gao is an Assistant Professor and NUS Presidential Young Professor in the Department of Physics at the National University of Singapore (NUS), and a Principal Investigator at the Centre for Quantum Technologies (CQT). Her research focuses on building robust quantum hardware using superconducting microwave circuits to advance quantum information processing and explore fundamental quantum phenomena. Her educational background includes: B.A. in Physics from the University of Oxford (2012) Ph.D. in Physics from Yale University (2018) Professor Gao's research centers on bosonic circuit QED (cQED), where her team designs novel quantum hardware elements like flux-tuning apparatus and non-linear structures to enable versatile control of bosonic systems. They investigate non-Gaussian quantum states for applications in quantum error mitigation and metrology, while developing optimized techniques for quantum state reconstruction and gate engineering in multi-mode devices. Her work bridges theoretical quantum physics with practical hardware implementation. Analysis of her publications reveals a consistent trajectory toward scalable quantum computing: early work established foundational bosonic entanglement and teleportation protocols (2016-2018), while recent research (2019-2021) focuses on hardware toolboxes for bosonic cQED and quantum chemistry applications. Key thematic clusters include quantum error correction with bosonic codes, multi-cavity quantum networks, and microwave quantum memory engineering. Her scientific awards and honors include: NUS Presidential Young Professorship NRF Fellow (Class 2020) MIT Tech Review TR35 (Asia-Pacific) Young Scientist Award Professor Gao actively mentors the next generation of quantum scientists, currently supervising Ph.D. students Amon and Aleksandr (joined Fall 2023), research fellow Tanjung, and interns Celine and Andrea. Her NRF Fellowship provides substantial research funding for quantum hardware development, supporting her team's experimental work on modular quantum devices. She also contributes to the field through editorial roles at NPJ Quantum Information and PRX Quantum. She leads the Quantum Circuits Research & Engineering Workgroup (qcrew) at CQT, a diverse team committed to building modular quantum processors. The qcrew's philosophy champions inclusivity across gender, sexual identity, and cultural backgrounds while emphasizing work-life balance and personal growth. Their current focus areas include expanding bosonic cQED hardware capabilities, leveraging non-Gaussian states for quantum applications, and developing robust bosonic quantum information processing techniques, with multiple new experiments slated for 2025.

LOH HuanqianView profile

Assistant Professor

• Quantum Simulation
• Quantum Computing
• Ultracold Atoms
• +3 more

LOH Huanqian serves as President's Assistant Professor at the National University of Singapore (NUS) and leads the Loh Huanqian Group at the Centre for Quantum Technologies (CQT). His research bridges quantum physics and advanced materials science through experimental quantum simulation. Education: PhD, University of Colorado, USA (2013) Research Focus: Dr. Loh pioneers quantum simulation of exotic materials like superconductors using reconfigurable atom arrays. His lab treats atoms as 'quantum Lego blocks' controllable at single-particle resolution to model complex quantum phenomena inaccessible to classical computers. Key innovations include: Scaling atom array systems to hundreds of qubits Developing multi-tweezer algorithms for defect-free assembly Engineering programmable interactions via magic wavelength techniques Extending coherence times in ultracold molecular systems Publication Trends: His 2013-2023 publications reveal an evolutionary trajectory from precision molecular spectroscopy toward scalable quantum computing architectures. Recent work emphasizes engineering practical quantum systems through atom array control, with consistent focus on overcoming decoherence and scaling barriers in quantum simulation. Awards & Recognition: Singapore NRF Fellow L'Oreal-Singapore Fellow L'Oreal-UNESCO International Rising Talent World Economic Forum Young Scientist Research Leadership: As NRF Fellow and CQT Principal Investigator, Dr. Loh directs a multidisciplinary team developing next-generation quantum simulators. His group receives substantial funding through competitive fellowships enabling cutting-edge infrastructure for quantum control experiments. Current projects target quantum advantage in materials modeling while advancing foundational quantum computing capabilities. Laboratory: The Loh Huanqian Group operates state-of-the-art quantum optics facilities at CQT, specializing in ultracold atom/molecule manipulation with optical tweezers, precision laser systems, and quantum measurement techniques for probing quantum many-body physics.

Ken MaiView profile

Research Professor

• High-Performance Circuit Design
• Secure IC Design
• Radiation Hardening
• +4 more

Ken Mai is a Principal Systems Scientist in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. He holds a B.S., M.S., and Ph.D. in Electrical Engineering from Stanford University. His research focuses on high-performance circuit design, secure IC design, radiation hardening, reconfigurable computing, and computer architecture. He has received prestigious awards including the NSF CAREER Award and the George Tallman Ladd Research Award. Education: Ph.D., Electrical Engineering, Stanford University, 2005 M.S., Electrical Engineering, Stanford University, 1997 B.S., Electrical Engineering, Stanford University, 1993 Research Interests: Dr. Mai’s work addresses challenges in nanometer-scale CMOS technology, including interconnect delay, leakage, and soft errors. His projects include secure IC design against hardware attacks, robust memory techniques using digital communications, 100GHz logic via cryogenic cooling, and bio-implantable computing platforms. He collaborates with neurosurgeons at the University of Pittsburgh for medical applications. Key Projects: Secure IC Design: Countermeasures against invasive/non-invasive attacks Robust Memory Design: Error correction codes for resilience 100GHz Logic: Cryogenically cooled CMOS for high-speed applications Bio-Implantable Systems: Low-power, high-density computing for medical devices Awards: NSF CAREER Award George Tallman Ladd Research Award Eta Kappa Nu Excellence in Teaching Award Teaching and Advising: He teaches courses like 18-322 (Digital Circuits), 18-617 (Memory Systems), and advises students including Mudit Bhargava and Mark McCartney. His lab, the VLSI Design Group, develops tools and methodologies linking circuit design to architectural design. Contact: Email: kenmai@ece.cmu.edu Website: Carnegie Mellon VLSI Design Group

Dennis HofheinzView profile

Professor

• Cryptography
• Public-Key Cryptography
• Cryptographic Security
• +3 more

Roles and Affiliations: Dennis Hofheinz is a Full Professor at the Department of Computer Science, ETH Zürich, leading the Foundations of Cryptography Group. He holds a prominent position in theoretical computer science, focusing on cryptographic security and algorithmic foundations. Research Interests: Hofheinz's work centers on practical cryptographic systems with rigorous security guarantees, particularly in public-key cryptography, digital signatures, and modern cryptographic scenarios. He explores advanced topics like indistinguishability obfuscation and structure-preserving cryptography, emphasizing efficiency and real-world applicability. His research integrates theoretical depth with practical implementation considerations. Key Contributions: Hofheinz has pioneered advancements in tightly secure cryptographic primitives, including signature schemes and encryption protocols. His work on 'Bonsai Trees' and lattice-based cryptography has been recognized with Best Paper Awards at EUROCRYPT (2010 and 2016). He also contributes to foundational areas like verifiable random functions and cryptographic protocol design. Publications: Over 180+ peer-reviewed publications in top venues such as CRYPTO, EUROCRYPT, and ASIACRYPT highlight his prolific output. Recent work includes contributions to malleable SNARKs, garbled circuits, and post-quantum security frameworks. Awards and Recognition: Recipient of Best Paper Awards at EUROCRYPT 2010 and 2016 for groundbreaking contributions to lattice-based cryptography and secure encryption schemes.

Paul PopelierView profile

Professor

• Computational Chemistry
• Theoretical Chemistry
• Quantum Chemistry
• +7 more

Paul Popelier is a Professor and Head of Computational & Theoretical Chemistry at the University of Manchester. He holds a Licentiaat in Chemistry from the University of Antwerp, a PhD in Structural Chemistry, and a DSc from UMIST. His research focuses on Quantum Chemical Topology (QCT), electron density analysis, and applications in biochemistry, drug design, and molecular dynamics. He leads the development of the FFLUX force field and the MORPHY computational program, widely used in over 65 laboratories globally. Key research areas include machine learning-enhanced force fields (e.g., Gaussian Process Regression models), non-covalent interactions, and topological atom partitioning. He has supervised over 20 students and contributed to interdisciplinary projects at the Manchester Interdisciplinary Biocenter. His work intersects computational chemistry with sustainable development goals, particularly in bioenergy and drug discovery. Popelier's group actively publishes in high-impact journals like Journal of Chemical Theory and Computation and Acta Crystallographica . He is a Fellow of the Royal Society of Chemistry (FRSC) and has collaborated internationally, including with institutions in Canada and the USA. His lab develops open-source tools like ICHOR for force field development and supports academic-industrial partnerships in computational chemistry.

Edric MatwiejewView profile

Research Fellow

• Quantum Computing
• Optimization Algorithms
• Computational Physics
• +3 more

Edric Matwiejew is an Adjunct Research Fellow at the School of Physics, Mathematics and Computing, The University of Western Australia (UWA). He holds a casual teaching role in Multi-Discipline. With an h-index of 54 and 3 citations, his work focuses on quantum computing applications in optimization, stochastic processes, and parallel simulation frameworks. His contributions include developing tools like QuOp_MPI and QSW_MPI for large-scale quantum algorithm simulations. Research interests span quantum algorithms, parallel computing, and their practical implementations in fields like finance, logistics, and operations research. He has published extensively on quantum walk-based methods for portfolio optimization and routing problems. His frameworks enable efficient simulations of quantum stochastic systems, advancing computational approaches in quantum mechanics. Notable collaborations include work with Dr. Wang on quantum variational algorithms and stochastic walks. His datasets and software tools are publicly available, contributing to open-source advancements in quantum computing research.

Tameem AlbashView profile

Adjunct Assistant Professor

• Quantum Computing
• Quantum Annealing
• Adiabatic Quantum Computation
• +3 more

Tameem Albash is an Adjunct Assistant Professor (Research) in the Department of Physics and Astronomy at the University of Southern California. He holds a Ph.D. in Physics (USC, 2010) and a B.S. in Electrical and Computer Engineering from Cornell University (2005). His postdoctoral research includes roles at the Information Sciences Institute (USC) and the University of Southern California. His research focuses on quantum computing, specifically quantum annealing, adiabatic quantum computation, and error correction mechanisms. He also explores theoretical physics topics like holography and condensed matter systems involving magnetic fields and superconductivity. His work bridges quantum information theory with practical implementations in quantum hardware. Key contributions include studies on quantum annealing correction protocols, tunneling phenomena in optimization problems, and decoherence effects in adiabatic systems. His publications span high-impact journals like Phys. Rev. A, Nature Communications, and Journal of High Energy Physics. No specific grants, awards, or student advisement are explicitly listed in the provided information. His affiliations emphasize active research in quantum technologies and theoretical physics collaborations.