Professor Ulrik Lund Andersen heads the quantum information group at DTU Physics, Technical University of Denmark. His research develops quantum technologies including quantum computation, secure communication, and quantum-enhanced measurement systems. His group generates entangled optical states and investigates diamond-photon interactions for quantum nonlinearities. Key research areas: Quantum computing architectures Continuous-variable quantum information Quantum key distribution Quantum-enhanced sensing Solid-state quantum systems Recent work advances error correction, quantum state engineering, and quantum sensing algorithms. Publications demonstrate consistent focus on practical quantum technology implementation. Awards include multiple Sapere Aude research grants and the Eliteforsk Award from the Danish Ministry of Science.
Carlos Errando Herranz serves as an Assistant Professor in the Quantum and Computer Engineering Division at Delft University of Technology's Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) and as a Principal Investigator at QuTech. His research focuses on developing scalable quantum photonic integrated circuits using semiconductor fabrication processes compatible with existing infrastructure for quantum internet applications. He received Bachelor's and Master's degrees from Universitat Politècnica de València (2013) and a PhD in Micro and Nanosystems from KTH Royal Institute of Technology (2018), followed by postdoctoral positions at KTH and MIT as a Marie Curie fellow. His lab investigates quantum photonics, integrated photonics, and color centers with emphasis on diamond tin-vacancy systems and silicon-based quantum emitters. Recent publications demonstrate strong expertise in tuning quantum emitters via strain engineering, heterogeneous integration of spin-photon interfaces, and MEMS-enabled reconfigurable photonics. Key advancements include cavity-enhanced quantum memories, superconducting detector integration, and spectral control of solid-state emitters for quantum networks. Dr. Herranz advises seven graduate students including PhD candidates Vicky Dominguez Tubio, Arjan Mejas, Matteo Pirro, Christian Primavera, Jan Riegelmeyer, and Elena Volkova, along with Master student Bram Zijlstra. His team comprises postdocs Lin Jin and Pat Laferriere, and interns Elsa Herranz Valiente and Ernest Staffetti Cruañas. The Errando Herranz Lab operates within QuTech's Quantum Internet Division at Delft University, maintaining specialized facilities for nanofabrication and optical characterization of quantum photonic devices. Current research directions include developing CMOS-compatible quantum memories operating at telecom wavelengths and scalable architectures for quantum repeaters.
David Allcock is an Assistant Professor in the Department of Physics at the University of Oregon, part of the College of Arts and Sciences. His research focuses on ion trapping, quantum computing, and hybrid quantum systems, with an emphasis on manipulating atomic and molecular systems using electric and magnetic fields for quantum information applications. He leads the Ion Trapping Lab at UO, where he develops scalable quantum technologies and open-source control systems like ARTIQ and Sinara. His work bridges experimental physics with engineering, addressing challenges in qubit control, error mitigation, and large-scale quantum computer design. Education: MPhys from the University of Oxford (2007), D.Phil. in Physics from Oxford (2012). Prior to UO, he was a Lindemann Fellow at the National Institute of Standards and Technology (NIST) in Boulder, CO. His research includes innovations in trapped-ion qubit control, including laser-free entangling gates, scalable architectures, and applications in quantum sensing and dark matter detection. Key research themes include metastable qubit systems, photon scattering error mitigation, and the integration of superconducting detectors for state readout. He collaborates on open-source hardware-software stacks for quantum experiments and mentors students in quantum engineering through programs like the Quantum Technology Master’s Internship. Current projects explore hybrid quantum-classical interfaces and ultra-stable ion trap fabrication. His lab’s contributions span theoretical and experimental domains, with recent advances in geometric phase gates, microwave-driven control, and error-resilient qubit operations. The group also engages in interdisciplinary work linking quantum computing with precision measurement, such as SPUD (SPectroscopy for Ultralight Dark matter) and bosonic sensing tools.
Prof. Norbert Lütkenhaus is a Professor and Executive Director of the Institute for Quantum Computing (IQC) at the University of Waterloo, cross-appointed to the Department of Applied Mathematics. He holds affiliations with Perimeter Institute and the Centre for Applied Cryptographic Research. His research focuses on quantum communication theory, particularly quantum key distribution (QKD) and quantum repeaters. He has pioneered methods to bridge abstract quantum protocols with practical optical implementations, emphasizing secure key rate calculations and overcoming quantum channel limitations. Education: PhD (2003) in Physics from University Erlangen-Nürnberg, MSc (1993) and BSc (1990) from Ludwig-Maximilians-Universität München and RWTH Aachen, respectively. Awards include the 2015 American Physical Society Outstanding Referee Award and a 2009 University of Waterloo Excellence Award. Research interests span QKD protocols (e.g., decoy-state BB84, phase-error mitigation), quantum repeater architectures, and entanglement verification. He develops numerical tools for key rate analysis and addresses implementation security loopholes. His work includes theoretical frameworks for long-distance quantum communication and practical QKD system optimizations. Teaching includes courses on quantum information processing (PHYS 768/QIC 890) and mechanics (PHYS 115). He contributes to international standards via ETSI’s QKD-ISG and the QCrypt steering committee. His patents cover QKD system designs and phase-randomization techniques.
Robert J. Schoelkopf is the Sterling Professor of Applied Physics at Yale School of Engineering & Applied Science, with a secondary appointment in the Department of Physics (Faculty of Arts and Sciences). He co-founded the field of circuit quantum electrodynamics (circuit QED), pioneering breakthroughs in solid-state quantum computing, including the transmon qubit, quantum bus, and first demonstrations of quantum algorithms and error correction. He directs the Yale Quantum Institute. Ph.D., California Institute of Technology A.B., Princeton University Research Interests: His work focuses on superconducting devices for quantum information processing, enabling revolutionary advances in quantum computing and sensing. Key contributions include foundational circuit QED innovations and quantum error correction protocols. Awards & Honors: Comstock Prize in Physics (2024) Connecticut Medal of Science (2017) John Stewart Bell Prize (2013) Joseph F. Keithley Award (2009) Yale University Junior Faculty Fellowship (2002) Packard Fellowship (2000) Leadership & Collaborations: Schoelkopf collaborates extensively with Michel Devoret and Steven Girvin. He co-founded Quantum Circuits Inc. and leads the Yale Quantum Institute. His lab emphasizes a fun, inclusive environment aligned with Yale's quantum research initiatives.
Jonathan Baugh is a Professor in the Department of Chemistry at the University of Waterloo, serving as Director of the Quantum Information Graduate Program. His research focuses on quantum devices, nanoelectronics, and molecular electronics with affiliations at the Institute for Quantum Computing and Waterloo Institute for Nanotechnology. He leads the Baugh Research Lab, exploring quantum control, semiconductor spin qubits, and superconducting hybrid systems. Research interests include quantum information processing, nanoscale charge transport, and the development of next-generation photonic sources. His work bridges quantum physics and materials science, with recent breakthroughs in dopant-free semiconductors and single-molecule transistors. Publications emphasize scalable quantum architectures, noise mitigation in quantum control, and phase-coherent molecular electronics. Current projects involve cryogenic CMOS device modeling and topological quantum computing in silicon-based systems. No awards are explicitly listed, though his work has been highlighted in invited reviews and special sessions on quantum systems. Advising focuses on graduate students in quantum nanotechnology and condensed matter physics. His lab collaborates on integrated quantum networks and III-V/Si nanowire photodetectors. Labs/Teams: Baugh Research Lab (Quantum Nanoelectronics Group), Institute for Quantum Computing (IQC), Waterloo Institute for Nanotechnology (WIN).
Aurora Maccarone serves as an RAEng Research Fellow within the Institute of Photonics and Quantum Sciences at Heriot-Watt University's School of Engineering & Physical Sciences. Her work focuses on advanced photonics applications for challenging environments, particularly underwater and obscured conditions. Her research expertise spans: Single-photon LiDAR systems for underwater 3D imaging Photon-counting detector arrays for depth profiling Real-time reconstruction algorithms for obscurant-penetrating imaging Quantum sensing applications in marine environments Recent publications demonstrate consistent innovation in single-photon imaging techniques, with emphasis on underwater applications (2023-2024) and obscurant penetration (2022). Her work shows strong interdisciplinary connections between optical engineering, computational imaging, and environmental sensing. Key publications reveal growing impact in underwater LiDAR technology, with multiple high-citation papers on photon-efficient imaging systems. Dr. Maccarone actively supervises PhD students and has created significant research datasets. Her collaborations span international institutions, with notable contributions to sensor hardware development and computational imaging algorithms. Recent work shows increasing integration of machine learning techniques with traditional photon-counting approaches.
Olivier Pfister is a Professor in the Department of Physics at the University of Virginia , with courtesy appointments in Electrical and Computer Engineering (2022–). His research focuses on experimental quantum optics and quantum information , particularly leveraging optical frequency combs to develop scalable quantum computing platforms. The Quantum Fields and Quantum Information (QFQI) group , which he leads, has pioneered techniques for generating multipartite entanglement in continuous-variable systems, achieving cluster-state entanglement in 60+ qumodes (with potential scaling to thousands). Collaborations span institutions like NIST, University of Sydney, CUNY, and Jefferson Laboratory, with applications in quantum simulation , non-Gaussian state characterization , and hybrid quantum technologies . Key contributions include the 2013 APS Fellowship for groundbreaking work on quantum frequency combs, NSF Distinguished Research Awards , and patents in quantum photonic devices. His group’s NSF-funded research (e.g., QLCI Preliminary Proposal, $3.2M; RAISE-EquIP, $750K) explores fault-tolerant quantum computing, machine learning integration, and microresonator-based entanglement. Pfister’s scientific awards include the 2013 UVA Distinguished Research Career Award and the 1996 JILA Clever Idea Contest Second Prize . His students and postdocs (e.g., Amr Hossameldin , Miller Eaton , Rajveer Nehra ) have published extensively on quantum tomography, cluster states, and photonic detector design. Pfister also serves on advisory and planning committees at UVA, emphasizing interdisciplinary collaboration across physics , engineering , and quantum information .
David A. Muller serves as the Samuel B. Eckert Professor of Engineering in the School of Applied and Engineering Physics at Cornell University and co-directs the Kavli Institute at Cornell for Nanoscale Science. His research group focuses on developing quantitative electron microscopy methods to understand materials properties at the atomic scale, with particular emphasis on sustainable energy applications and quantum materials. Muller's laboratory utilizes some of the world's highest resolution electron microscopes housed in specially designed, environmentally isolated rooms. Muller received his undergraduate education at the University of Sydney and earned his Ph.D. in Physics from Cornell University in 1996. Between 1997 and 2003, he was a member of the technical staff at Bell Laboratories, where he applied his expertise in imaging single atoms and atomic-scale spectroscopy to determine the physical limits of transistor miniaturization. In 2003, he returned to Cornell as a faculty member, where he has since established himself as a leader in advanced electron microscopy techniques. Muller's research spans multiple frontiers in materials science, with particular focus on understanding how electronic-structure changes at the atomic scale control macroscopic behavior in diverse systems like turbine blades, fuel cells, and transistors. His current work emphasizes the physics of renewable energy materials, atomic-scale control of materials to create electronic phases that cannot exist in bulk, and developing hardware and algorithms for 'big data' acquisition from high-bandwidth pixelated electron microscope detectors. His group's work bridges theoretical physics and experimental techniques, requiring researchers who can think in both real and reciprocal space while considering both fundamental principles and practical applications. Analysis of Muller's recent publications reveals a strong trend toward advancing electron ptychography and 4D-STEM techniques for atomic-scale imaging. His group has pioneered methods for 3D atomic-scale metrology, strain mapping, and imaging of radiation-sensitive materials. The research spans applications from semiconductor technology to quantum materials and energy storage systems, demonstrating the versatility of his microscopy approaches across multiple scientific domains. Top 100 Young Innovator by Tech Review Magazine (2003) Burton Medal from Microscopy Society of America (2006) Ernst Ruska Prize of German Society for Electron Microscopy (2021) John Cowley Medal from International Federation of Societies for Microscopy (2023) Fellow of American Physical Society Fellow of American Association for the Advancement of Science Fellow of Microscopy Society of America Muller has mentored an extensive group of students and postdocs who have gone on to successful careers in academia and industry. His former students hold faculty positions at institutions including Rice University, University of Southern California, Seoul National University, Colorado School of Mines, and the University of Michigan, among others. His research has been supported by substantial grants, including a $22.5M NSF grant that accelerates materials discovery. The Muller lab maintains close collaborations with the Kavli Institute at Cornell and PARADIM (Platform for the Accelerated Realization, Analysis, and Discovery of Interface Materials). The Muller lab operates at the forefront of electron microscopy, housing specialized instrumentation including high-resolution transmission electron microscopes in environmentally isolated rooms. The group collaborates extensively with other research teams at Cornell and worldwide, focusing on understanding materials atom by atom. Current research directions include applying machine learning to electron microscopy data analysis, developing cryogenic techniques for studying low-melting-point materials, and exploring quantum phenomena in engineered materials systems.
Jung Han is the William A. Norton Professor of Electrical & Computer Engineering at Yale University, affiliated with the School of Engineering & Applied Science. He holds a Ph.D. from Purdue University and leads the Optoelectronics Materials and Devices Group, focusing on interdisciplinary research in III-nitride semiconductors, optoelectronics, and power electronics. His work bridges fundamental materials science with practical applications in solid-state lighting, energy harvesting, and next-generation electronics. Research interests include wide-bandgap semiconductor materials (e.g., GaN), nanoscale device fabrication, and epitaxial growth techniques. He pioneered nanoporous GaN distributed Bragg reflectors (DBRs) for high-efficiency LEDs and lasers, as well as selective-area growth methods for power electronics. His lab explores green energy technologies, flexible electronics, and hybrid organic-inorganic semiconductors. Publications emphasize advancements in GaN-based vertical-cavity surface-emitting lasers (VCSELs), SWIR detectors, and micro-LED displays. Recent work addresses challenges in defect control, scalability of III-nitride devices, and integration with emerging materials. His group collaborates across engineering, applied physics, and chemistry to advance sustainable energy and high-performance optoelectronics. Notable contributions include wafer-level integrated white-LEDs with quantum dots, damage-free in-situ GaN etching via TBCl, and stacking-fault-free GaN growth on foreign substrates. His research has been recognized in high-impact journals like Advanced Materials and Applied Physics Letters .
Raouf Boutaba is a Professor at the University of Waterloo , serving as Director of the David R. Cheriton School of Computer Science since July 2020. He holds prestigious fellowships including FRSC , FIEEE , FIEC , and FCAE . 2024: Inaugural Rogers Chair in Network Automation 2024: Ontario Research Fund–Research Excellence (ORF–RE) $2M grant for next-gen mobile networks 2021: University Professor title, University of Waterloo Research Interests span network automation, resource management in wired/wireless networks, network function virtualization (NFV), software-defined networking (SDN), cloud computing, blockchain, future Internet architecture, and cybersecurity. His work focuses on zero-touch networks, 5G/B5G slicing, and AI-driven orchestration. Scientific Contributions include 15+ recent publications on topics like reinforcement learning for RAN slicing, encrypted traffic classification, quantum network optimization, and self-driving infrastructure. His projects 5G LEAP and 5G ELITE explore network isolation and Open RAN principles. 2024: IFIP/IEEE CNOM Test of Time Paper Award 2024: Graduate Supervision Excellence Award 2021: Kenneth C. Sevcik Outstanding Student Paper Award (advisor) Teaching includes co-developing the NSERC CREATE Network Softwarization program, offering courses like Network Softwarization: Principles and Foundations (Winter 2024) and Technologies and Enablers since 2018. He emphasizes hands-on training in SDN, NFV, Open RAN, and 5G. Students and Collaborations : Supervised PhD students such as Shihabur R. Chowdhury (2021), Nashid Shahriar (2020), and undergrad Leni Aniva (2022 Gov. Gen. Silver Medal ). His team includes researchers working on 5G, blockchain, and AI-driven network management. Professional Leadership : Organized Rogers TEP Workshops (2024-2025), delivered keynotes at IEEE Globecom, ColCom, and BalkanCom, and served on expert panels for AI orchestration and 5G cybersecurity at major symposia.
Gavin Brennen is a Professor in Quantum Information Science (Core) at Macquarie University's School of Mathematical and Physical Sciences. He leads the Macquarie Centre for Quantum Engineering (MQCQE) and serves as a Chief Investigator at the Australian Research Council (ARC) Centre of Excellence for Engineered Quantum Systems (EQUS). He is also an Executive Board Member of the Sydney Quantum Academy (SQA). His research focuses on quantum computing, quantum sensing, and atomic physics, with a particular emphasis on quantum error correction and quantum LDPC codes. Key roles and affiliations include directorship of MQCQE, leadership in ARC EQUS, and SQA board membership. He has secured funding for multiple research projects, including Sydney Quantum Academy scholarships (e.g., Brennen/Gharat and Brennen/Vedl) and the Engineered Quantum Matter initiative. His work addresses quantum technologies' applications in sensing, computing, and communication. Research interests span quantum computing architectures, quantum error correction protocols, and atomic systems. Notable projects include high-rate quantum LDPC codes for neutral atom registers, cavity-based quantum gates, and quantum internet protocols. His contributions to quantum crypto-economics and blockchain security further highlight his interdisciplinary impact. He has advised on projects such as the Australian Dark Matter Detector for High-Mass Axions and collaborates internationally. Current efforts prioritize scalable quantum systems, fault-tolerant protocols, and quantum networking. His lab and teams drive innovation in quantum hardware and theoretical frameworks for emerging technologies.
Maiken H. Mikkelsen is the James N. and Elizabeth H. Barton Associate Professor in the Department of Electrical and Computer Engineering at Duke University, with a joint appointment in the Department of Physics . Her research focuses on quantum nanophotonics , plasmonics , and light-matter interactions in nanoscale materials, aiming to advance optoelectronics, quantum science, and biomedical diagnostics. Education B.S. in Physics, University of Copenhagen (2004) Ph.D. in Physics, University of California, Santa Barbara (2009) Postdoctoral Fellowship, University of California, Berkeley Her work explores nanophotonic engineering for quantum optics , spintronics , and ultrafast optoelectronics , with recent studies on nonlinear metasurfaces and plasmonic enhancement of immunoassays for point-of-care diagnostics. Publications highlight 2D semiconductor emission control , ultrafast single-photon sources , and metasurface-based photodetectors . Scientific Awards Maria Goeppert Mayer Award (2017) NSF CAREER Award (2015) Moore Inventor Fellow (2021) ONR/Air Force/Army Young Investigator Awards (2015-2017) Cottrell Scholar (2016) Stansell Family Distinguished Research Award (2021) She advises graduate students in Duke’s Electrical & Computer Engineering and Physics programs and leads the Mikkelsen Lab , which emphasizes ultrafast spectroscopy and quantum material development . The lab has graduated PhD students like Eunso Shin and Hengming Li (2025).
Robert M. Weikle, II is a Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in the Department of Physics. He earned his B.S. from Rice University (1986), M.S. (1987), and Ph.D. (1992) in Electrical Engineering from Caltech, followed by postdoctoral work at Chalmers University of Technology (1992). His research focuses on millimeter-wave and terahertz electronics , applied electromagnetics, integrated antennas, low-noise sensors, and heterogeneous integration of compound semiconductors. His work bridges electronics and photonics for spectrum access, with applications in astronomy, spectroscopy, and metrology. He has published extensively on micromachined silicon substrates, superconducting materials, and emerging technologies. Scientific Awards: IEEE Microwave Prize (1993) David A. Harrison III Award (1999) University of Virginia All-University Outstanding Teaching Award (2000) Edlich-Henderson Innovator of the Year (2016) Fulbright Scholar (2001) As Chief Technology Officer and co-founder of Dominion Microprobes, Inc., he commercializes micromachined wafer probes for high-frequency metrology. His lab, located in E220 Thornton Hall and the Jesse W. Beams Physics Building, has produced 15+ recent publications on submillimeter-wave devices, THz probes, and calibration techniques.
Dr. Danial Chitnis is a Chancellor's Fellow and Lecturer in Electronics at the School of Engineering, University of Edinburgh. He holds a DPhil in Engineering Science from the University of Oxford (2013) and has expertise in microelectronics, biomedical engineering, and quantum imaging. His research focuses on SPAD arrays, time-of-flight sensors, and wearable optical systems for biomedical applications. Education: BSc in Electronics Engineering, Chamran University of Ahvaz (2002–2007) MSc in Advanced Microelectronics Systems Engineering, University of Bristol (2007–2008) DPhil in Engineering Science, University of Oxford (2009–2013) Research Interests: Single-Photon Avalanche Diode (SPAD) arrays for optical communications and biomedical imaging Quantum-enhanced imaging via QuantIC Hub Wearable sensors for near-infrared spectroscopy (NIRS) AI-driven automation in test and measurement systems Articles Trends: Recent work emphasizes AI integration in electronics design, photon-counting receivers for 6G networks, and portable biomedical devices. Notable contributions include SYCL-based acceleration of circuit simulations and FPGA-driven time-to-digital converters. Grants & Collaborations: Principal Investigator of multiple grants, including EPSRC-funded projects on AI-enhanced human-machine interfaces and quantum technology applications. Collaborates with UCL, QuantIC, and industry partners like Keysight Technologies. Labs/Teams: Co-investigator at QuantIC, the UK Quantum Technology Hub in Quantum Enhanced Imaging. Leads interdisciplinary research on detector arrays and systems for quantum physics and consumer cameras.
