Bio
Vladimir Skavysh is a Data Scientist and a creator of the Bank of Canada’s Quantum Lab for Advanced Analytics. He started his research career as a physicist, specializing in dark energy and neutron interferometry, before switching to data science and artificial intelligence. His research interests are quantum computing, deep learning, and big data.
Staff analytical notes
Staff working papers
Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm
We build a network formation game of firms with trade flows to study the adoption and usage of a new digital currency as an alternative to correspondent banking.Improving the Efficiency of Payments Systems Using Quantum Computing
We develop an algorithm and run it on a hybrid quantum annealing solver to find an ordering of payments that reduces the amount of system liquidity necessary without substantially increasing payment delays.Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning
Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.Journal publications
- Skavysh, V. and Browning, N., 2005, “Preferential Growth of Pt Particles on Rutile TiO2.” APS March Meeting Abstracts, P26. 008.
- Iddir, H., Skavysh, V., Öğüt, S., Browning, N., Disko, M., 2006, “Preferential growth of Pt on rutile TiO2.” Physical Review B 73 (4), 041403.
- Bennett, D., Skavysh, V., and Long, J., 2011, "Search for Lorentz violation in a short-range gravity experiment." CPT And Lorentz Symmetry, pp. 258-262.
- Snow, M., Arif, M., Heacock, B., Huber, M., Li, K., Pushin, D., Skavysh, V., and Young, A., 2015, “A sensitive search for dark energy through chameleon scalar fields using neutron interferometry.” Journal of Physics: Conference Series 578 (1), 012009
- Skavysh, V., Arif, M., Shahi, C., Haun, R., Snow, M., Li, K., Heacock, B., and Young, A., 2015, “Optimization of Geometries for Experimental Searches of Chameleon Scalar Fields.” APS April Meeting Abstracts 2015, H2. 005.
- Saggu, P., Cory, D., Pushin, D., Nsofini, J., Sarenac, D., Huber, M., Arif, M., Shahi, C., Haun, R., Snow, M., Li, K., Skavysh, V., Heacock, B., and Young, A., 2015, “Neutron interferometry in a temperature controlled vacuum environment for the search of dark energy and other precision experiments.” APS April Meeting Abstracts 2015, R6. 008.
- Li, K., Arif, M., Cory, D., Haun, R., Heacock, B., Huber, M., Nsofini, J., Pushin, D., Saggu, P., Sarenac, D., Shahi, C., Skavysh, V., Snow, M., and Young, A., 2015, “Search for strongly coupled Chameleon scalar field with neutron interferometry.” APS April Meeting Abstracts 2015, H2. 006.
- Saggu, P., Mineeva, T., Arif, M., Cory, D., Haun, R., Heacock, B., Huber, M., Li, K., Nsofini, J., Sarenac, D., Shahi, C., Skavysh, V., Snow, M., Werner, S., Young, A., Pushin, D., 2016, “Decoupling of a neutron interferometer from temperature gradients.” Review of Scientific Instruments 87 (12), 123507.
- Li, K., Arif, M., Cory, D., Haun, R., Heacock, B., Huber, M., Nsofini, J., Pushin, D., Saggu, P., Sarenac, D., Shahi, C., Skavysh, V., Snow, M., and Young, A., 2016, “Neutron limit on the strongly-coupled chameleon field.” Physical Review D 93 (6), 062001.