Publications

Leveraging supervised learning for unsupervised clustering of high-dimensional data, A.G.R. Day & P. Mehta, in preparation
The Glassy Phase of Optimal Quantum Control, A.G.R. Day et al., arXiv 1803.10856
A high bias low variance introduction to machine learning for physicists, P. Mehta, A.G.R. Day, et al., arXiv 1803.08823
Broken Symmetry in a Quantum Control Landscape. M. Bukov, A.G.R. Day et al. 2017, arXiv 1711.09109
Machine Learning Meets Quantum State Preparation. The Phase Diagram of Quantum Control, M. Bukov, A.G.R. Day et al., 2017, arXiv 1705.00565
Thermal Order-by-Disorder at Criticality in xy Pyrochlore Magnets, 2015, B. Javanparast, A.G.R. Day, H. Zhihao, M.J.P. Gingras, PRB 91 174424
Bosonic Many-body Theory of Quantum Spin Ice, 2014, Z. Hao, A.G.R. Day, M.J.P. Gingras, PRB 90 214430
Phase Transition and Thermal Order-by-Disorder in the Pyrochlore Quantum Antiferromagnet : a High-Temperature Series Expansion Study, 2013, J. Oitmaa, R.R.P. Singh, B. Javanparast, A.G.R. Day, B.V. Bagheri, M.J.P. Gingras, PRB 88 220404
Resilience of d-wave superconductivity to nearest-neighbor repulsion, 2013, D. Sénéchal, A.G.R. Day, V. Bouliane, A.-M.S. Tremblay, PRB 87 075123
Vindication of Yb_2Ti_2O_7 as a Model Exchange Quantum Spin Ice, 2012, R. Applegate, N. R. Hayre, R. R. P. Singh, T. Lin, A.G.R. Day, M. J. P. Gingras, PRL 109 097205
Multivariate polynomial interpolation and meshfree differentiation via undetermined coefficients, 2012, J-M Belley, PE Belley, A.G.R. Day, Journal of Computational and Applied Mathematics, Vol. 239, p. 415-430
Interpolation et estimation de dérivées en dimension d selon une approche lagrangienne, 2012, A.G.R. Day, CAMUS math journal, vol. 2

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