Thomas Baker is an Assistant Professor in the Department of Physics & Astronomy and also the Department of Chemistry at the University of Victoria in British Columbia, Canada. He earned a M.Sc. from California State University, Long Beach where he graduated on the Dean’s List of Scholars and Artists and held a graduate research fellowship. He earned a Ph.D. from the University of California, Irvine with the support of the Achievement Rewards for College Scientists (ARCS) fellowship before he was the Prized Postdoctoral Scholar in Quantum Sciences and Technology at Institut quantique at l’Université de Sherbrooke. He recently was a Fulbright U.S. Scholar at the University of York in the United Kingdom.

Thomas’s research interests are widespread in the field of quantum computing. He is interested in how to make quantum computers and design quantum materials for qubits and quantum error-correction. He also develops new algorithms for quantum chemistry on the quantum computer. Many times, numerical examples are produced in a custom-built tensor network library called DMRjulia, but other techniques are also used.

Olivia di Matteo obtained her PhD at the University of Waterloo and Institute for Quantum Computing in 2019 in Physics (Quantum Information). Following her PhD, she worked as a Quantum Information Science Associate at TRIUMF. Olivia then became a Quantum Computing Educator and Researcher at the Toronto-based startup Xanadu. Currently Olivia is an Assistant Professor in the Electrical and Computer Engineering department at UBC. She is passionate about teaching quantum computing, and developing open-source quantum software. Her research interests include quantum circuits and compilation, quantum tomography, quantum machine learning, and quantum algorithms.

Nikitas Dimopoulos received a B.Sc. degree in Physics from the University of Athens and a M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Maryland, College Park in 1975, 1976 and 1980 respectively. He joined the Department of Electrical and Computer Engineering, University of Victoria (U.Vic.) in 1988 where he is currently Professor and Lansdowne Chair in Computer Engineering. He served as the Chair of the Department (1998- 2003, 2005-2008) and was Visiting Professor at the Computer Engineering Laboratory, Delft University of Technology (2001).

Previous to his appointment at UVic, he was Assistant and then Associate Professor at the Department of Electrical Engineering, Concordia University (1980- 1987) and member of the Technical Staff at the Jet Propulsion Laboratory, Pasadena, CA (1986-1987). He has served as external evaluator for several Electrical and Computer Engineering Departments in Canada and internationally, on National and International adjudication panels (BCSC, CFI, NSERC Centers of Excellence, Graduate Programs – Greek Ministry of Education) and has been Accreditation Program Visitor for the CEAB.

His fields of interest are in Computer Architecture, Neural Networks and Quantum Computing. His research has been funded by NSERC, the Canadian Cable Labs Fund, ASI, CFI and CMC. He has over 200 publications including edited volumes, refereed journal and conference papers and technical reports. He and his students received a best paper award at the 2020 IEEE International Conference on Quantum Computing and Engineering Professor Dimopoulos is a Professional Engineer registered with Engineers and Geoscientists in British Columbia, a Life Senior Member of the IEEE and Fellow of the Engineering Institute of Canada.

Roman Krems is Professor of theoretical chemistry at the University of British Columbia in Vancouver, Canada. His current research interests include applications of machine learning for solving complex quantum problems, the development of quantum-inspired machine learning algorithms, and quantum machine learning. He is particularly interested in applications of Bayesian machine learning for inverse quantum problems, accelerating and improving the accuracy of quantum scattering calculations, and the development of machine learning methods for accurate extrapolation of solutions of complex physical equations. His group works on applications in quantum chemistry, quantum dynamics, quantum computing and quantum scattering theory. He graduated from Moscow State University in Moscow, Russia, in 1999, and obtained his PhD in physical chemistry from Göteborg University in Göteborg, Sweden, in 2002. He was a SAO predoctoral fellow at the Harvard-Smithsonian Center for Astrophysics in 2001–2002 and a postdoctoral fellow at the Harvard physics department and the Harvard-MIT Center for Ultracold Atoms in 2003–2005. He is fellow of the American Physical Society and member of the College of the Royal Society of Canada.

Kero is an Assistant Professor at the Department of Physics at Simon Fraser University. Before joining SFU in 2020, Kero got his PhD at the University of Toronto, and worked as a postdoc fellow at Ulm University, Max Planck Institute, and University of Chicago. Kero is a theorist working on the interplay of quantum physics and quantum information, with the focus on bosonic quantum systems, i.e. systems that behave as harmonic oscillators. His current interests include studying the properties of engineered quantum systems (e.g. optomechanics, microwave in superconducting resonator, trapped ions, photon in waveguide), and analyzing the practical performance of various technologies (e.g. sensing, communication, computation, simulation).

Hausi Müller is a Professor of Computer Science at the University of Victoria. He was Associate Dean of Research, Faculty of Engineering (2009-2019).  He is Co-Chair IEEE Future Directions Quantum Initiative and serves on the IEEE Conferences Committee (2019-2021). He is Founder and General Chair of IEEE Quantum Week, the IEEE International Conference on Quantum Computing & Engineering (QCE20 & QCE21). He was Vice President of IEEE Computer Society (CS) Technical and Conferences Activities (T&C) Board (2016–2018), Chair CS Technical Council on Software Engineering (2011-2015). He teaches a graduate & 4th year course on quantum algorithms and software engineering. With his research group, he collaborates extensively with industry as an international expert in software engineering, software evolution, quantum computing, hybrid quantum-classical algorithms, adaptive systems, IoT, and intelligent cyber-physical systems. He is co-investigator of an IBM CAS Project on Quantum Problem Solving and Algorithm Design. He is a principal investigator for two NSERC Collaborative Research and Training Experience (CREATE) team grants on Quantum Computing and Dependable Internet-of-Things Applications (DITA).

Prashant Nair is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of British Columbia. He received his Ph.D. and M.Sc. in Electrical and Computer Engineering from the Georgia Institute of Technology and the B.Eng degrees in Electronics Engineering from the University of Mumbai. Prior to joining UBC as faculty member, Prashant was a Postdoctoral Researcher (Research Scientist) at IBM Thomas J. Watson Research Center in New York. Prashant’s interests are in the areas of reliability, security, and performance-power efficient memory systems. Currently, he is interested in Recommender System Optimization, Deep Neural Network Optimization, Memory Security, and efficient Quantum Simulators. His work frequently appears in several top-tier conferences like ISCA, MICRO, HPCA, and ASPLOS. Prashant has served as a primary reviewer for several major conferences in computer architecture, including ISCA,  ASPLOS-2016,  IEEE CAL, ACM-TACO, ACM-TC, and SBAC-PAD.

Irina Paci is a Professor of Chemistry at the University of Victoria (UVic).  She obtained her Ph.D at Queen’s University in Kingston, Ontario in 2003 and joined the faculty at UVic in 2007 after a postdoctoral position with the Theoretical Chemistry Group at Northwestern University.  Her research interests lie in the development of computational chemistry approaches for modelling nanostructured materials and related systems. These approaches usually involve a combination of statistical and quantum chemical methods, in order to capture the quantum behaviour of nanoscale features when modelling large-scale materials. In particular, her group’s research has focused on nanostructure self-assembly, catalytic processes in atomic layer deposition, and the optical and dielectric properties of optoelectronic materials. Recently, her group has been interested in methods interfacing quantum chemistry on quantum computers and classical computers and their applications in accelerating materials discovery.

Andrew Potter is an Assistant Professor in the Department of Physics and Astronomy and the Stewart Blusson Quantum Matter Institute at the University of British Columbia. His research leverages theoretical tools from quantum information to address fundamental scientific questions such as what are the possible phases of matter? and, when do (or more interestingly don’t!) quantum systems reach thermal equilibrium? He also works on the theory and modelling of quantum computing- and quantum simulation- hardware in solid-state devices and AMO systems, and has recently focused on developing near-term quantum algorithms for material simulation based on quantum tensor network methods. Andrew obtained his PhD in theoretical condensed matter physics from MIT, and was a Gordon and Betty Moore Foundation postdoctoral fellow at University of California, Berkeley. Before joining UBC, Andrew was an Assistant Professor of Physics at the University of Texas at Austin, and a principal physicist in the theory and algorithms group at Honeywell | Quantum Solutions. He is a Sloan Research Fellow, and has received a US National Science Foundation early career award, the IUPAP 2021 Young Scientist award.

Ulrike Stege is an Associate Professor of Computer Science at the University of Victoria. She received a diploma in Mathematics from Albert-Ludwigs Universität Freiburg, Germany, and a doctorate from ETH Zürich, Switzerland.  She was Computer Science Department Chair at the University of Victoria from 2014-2018.  She is a co-founder and co-director of HighTechU, an innovative learning community for high-school-aged youth with focus on building professional skills, and exploring career pathways related to technology; part of HighTechU’s portfolio is the designing and offering of youth workshops in quantum computing.  She teaches a graduate & 4th year course on quantum algorithms and software engineering. With her graduate students she works in the areas of algorithm development with focus on parameterized complexity, quantum computing with focus on hybrid quantum-classical algorithms, bioinformatics and cognitive psychology. She is a principal investigator of an IBM CAS Project on Quantum Problem Solving and Algorithm Design. Ulrike was Co-Chair of the Technical Paper Track on Quantum Workforce & Society, Posters Chair at IEEE Quantum Week 2021, Co-Chair of Pathways to Quantum: An introductory workshop on quantum computing for youth. She was also Co-Chair of CASCON 2020 Workshop on Quantum Computing: Challenges and Opportunities.