Christian has over a decade of industry, government and research experience in quantum computing and quantum cryptography. He holds a PhD in Physics from the University of Queensland and was a postdoc at MIT and the University of Toronto.GOOGLE SCHOLAR
Zachary holds a PhD in Physics from the University of Toronto. He specializes in integrated photonic technologies for generation, control, and measurement of quantum light.GOOGLE SCHOLAR
Kamil holds a MSc in Physics and a PhD in Physics from Charles University. He specializes in quantum optics, mathematical physics, and information theory.GOOGLE SCHOLAR
Nicolas holds a MSc and PhD in Physics from the University of Toronto. He specializes in quantum optics, quantum information, and the generation and characterization of bright non-classical light.GOOGLE SCHOLAR
Timjan is currently in the process of completing his PhD in Physics at York University. He specializes in quantum simulations in continuous variables.ARXIV
Thomas holds a MSc in Physics from the University of Warwick and a PhD in Physics from the University of Nottingham. He specializes in the quantification and utilization of quantum properties, such as entanglement and coherence.GOOGLE SCHOLAR
Daiqin holds a PhD in Physics from the University of Queensland. He specializes in quantum field theory in curved spacetime, such as Unruh radiation and Hawking radiation.GOOGLE SCHOLAR
Nathan holds a MSc in Mathematics from the University of Toronto and a PhD in Physics from the University of Waterloo. He specializes in quantum computing, deep learning, and quantum optics.GOOGLE SCHOLAR
Maria holds a PhD in Physics from the University of KwaZulu-Natal. She specializes in quantum machine learning, in particular, quantum algorithms for supervised learning.GOOGLE SCHOLAR
Juan Miguel holds a MSc in Physics from the University of Toronto and a PhD in Physics from the University of Waterloo. He specializes in optical quantum information processing.GOOGLE SCHOLAR
Kang holds a PhD in Engineering from the National University of Singapore. He specializes in silicon photonics, on-chip photonic processing using optical nonlinearity, design and simulation.GOOGLE SCHOLAR
Joshua holds a PhD in Physics from the University of Western Australia. He specializes in quantum information and quantum network algorithms, with a focus on computational physics.GOOGLE SCHOLAR
Brajesh holds a PhD in Physics from Louisiana State University. He specializes in theoretical and computational physics and high performance computing.GOOGLE SCHOLAR
Krishnakumar holds a PhD in Physics from the Institute of Mathematical Sciences. He has worked on the interface between quantum information and quantum optics with a focus on the fundamental properties of quantum light and dynamics.GOOGLE SCHOLAR
Haoyu holds a PhD in Physics from Louisiana State University. He specializes in quantum sensing, optical quantum computing, quantum Shannon theory and quantum control theory.GOOGLE SCHOLAR
Blair holds a PhD in Physics from the University of Sydney. He specializes in photonic integrated circuit design with a focus on non-linear optics and microwave photonics.GOOGLE SCHOLAR
Dylan holds a PhD in Physics from the University of Toronto. His expertise includes quantum state and process characterisation, adaptivity, and weak measurements, as well as quantum integrated photonics and non-classical state generation.GOOGLE SCHOLAR
Matteo holds a PhD in Physics from the University of Pavia. He specializes in linear and non-linear optical properties of photonic integrated circuits, with emphasis on the design and engineering of integrated sources of quantum states of light.GOOGLE SCHOLAR
Robert holds a PhD in Mathematics from Princeton University. He specializes in mathematical physics and functional analysis.GOOGLE SCHOLAR
Varun holds a PhD in Physics from the University of Maryland in College Park. He specializes in cavity QED and ultracold atomic gases.GOOGLE SCHOLAR
Lukas holds a PhD in Physics from the University of Toronto. He specializes in quantum and nonlinear integrated photonics.GOOGLE SCHOLAR
Alain holds a PhD in Physics from the Institute of Cybernetics, Mathematics and Physics of Havana. He specializes in electronic structure calculations in Quantum Chemistry and Materials Science.GOOGLE SCHOLAR
Matt holds a PhD in Physics from the University of Sydney. He specializes in photonic circuit design and nonlinear quantum light generation.GOOGLE SCHOLAR
Jonathan holds both MSc and PhD degrees in Physics from the University of Waterloo. He specializes in experimental optical quantum information, interferometry, and light-matter interactions.GOOGLE SCHOLAR
Zeyue holds a BSc in Mathematics and Physics from the University of Toronto. He specializes in designing and implementing machine learning models for the financial services industry.
Soran holds a PhD in Chemistry from Concordia University. He specializes in quantum chemistry, molecular dynamics simulation, and computational materials science.GOOGLE SCHOLAR
Rafal holds a M.Sc. in Biophysics from the University of Guelph. For the last 6 years he has been building and leading machine learning teams focused on delivering advance analytics and computer vision products in a wide range of industries. He specializes in bringing AI products to production.GOOGLE SCHOLAR
Young holds a PhD in Physics from the University of Sydney. He specializes in integrated nonlinear optics and quantum photonics.GOOGLE SCHOLAR
Guillaume holds a M.Sc. in physics from McGill University and a Ph.D. in physics from Université de Sherbrooke. He specializes in quantum computing and fault-tolerant quantum error correction.
Masoud holds a PhD in Biomedical Engineering from the University of Toronto. He specializes in trustworthy AI and designing machine learning models for banking and computer vision applications.GOOGLE SCHOLAR
David received a PhD in Physics from the University of British Columbia. Since then he has been working at the interface of academic research and industrial applications in hard tech startups, technology transfer, university-industry liaison, research partnerships, and industrial R&D and innovation.
Seth is a leading quantum mechanics expert and a Professor of Mechanical Engineering and Physics at MIT. Seth has authored or co-authored over 200 scientific publications. He is also a member of the American Physical Society and the American Society of Mechanical Engineers.
John is a theorist who works on quantum nonlinear optics and quantum interference effects in condensed matter physics. He is a Professor of Physics at the University of Toronto, and is a Fellow of the Optical Society of America, of the American Physical Society, and of the Royal Society of Canada.
Marco is a theorist working in classical and quantum photonics and a Professor at the Department of Physics of the University of Pavia. He has authored or co-authored over 80 scientific publications. He is also a member of the Optical Society of America.
Saikat is an Associate Professor with the College of Optical Sciences and the Department of Electrical and Computer Engineering at the University of Arizona. He leads its Quantum Photonic Applications group. Saikat holds a B.Tech. in EE from IIT Kanpur, and SM and PhD in EECS from MIT.
Peter is an Assistant Professor in the University of Toronto and the Academic Director of the Quantum Program in the Creative Destruction Lab. Peter holds a PhD in Computer Science from the National University of Singapore. He authored the first book on quantum machine learning.
We introduce an exact classical algorithm for simulating Gaussian Boson Sampling (GBS). The complexity of the algorithm is exponential in the number of photons detected, which is itself a random variable. For a fixed number of modes, the complexity is in fact equivalent to that of calculating output probabilities, up to constant prefactors.READ MORE [+]
Random point patterns are ubiquitous in nature, and statistical models such as point processes, i.e., algorithms that generate stochastic collections of points, are commonly used to simulate and interpret them.READ MORE [+]
Stochastic models are highly relevant tools in science, engineering, and society. Recent work suggests emerging quantum computing technologies can substantially decrease the memory requirements for simulating stochastic models.READ MORE [+]