| Synergistic pretraining of parametrized quantum circuits via tensor networks MS Rudolph, J Miller, D Motlagh, J Chen, A Acharya, A Perdomo-Ortiz Nature Communications 14 (1), 8367, 2023 | 83* | 2023 |
| Resource quality of a symmetry-protected topologically ordered phase for quantum computation J Miller, A Miyake Physical Review Letters 114 (12), 120506, 2015 | 76 | 2015 |
| Hierarchy of universal entanglement in 2D measurement-based quantum computation J Miller, A Miyake npj Quantum Information 2 (1), 1-6, 2016 | 75 | 2016 |
| Decomposition of matrix product states into shallow quantum circuits MS Rudolph, J Chen, J Miller, A Acharya, A Perdomo-Ortiz Quantum Science and Technology 9 (1), 015012, 2023 | 71 | 2023 |
| Tensor Networks for Probabilistic Sequence Modeling J Miller, G Rabusseau, J Terilla International Conference on Artificial Intelligence and Statistics (AISTATS), 2021 | 47* | 2021 |
| Latent computational complexity of symmetry-protected topological order with fractional symmetry J Miller, A Miyake Physical Review Letters 120 (17), 170503, 2018 | 40 | 2018 |
| Quantum supremacy in constant-time measurement-based computation: A unified architecture for sampling and verification J Miller, S Sanders, A Miyake Physical Review A 96 (6), 062320, 2017 | 32 | 2017 |
| Adaptive Learning of Tensor Network Structures M Hashemizadeh, M Liu, J Miller, G Rabusseau arXiv preprint arXiv:2008.05437, 2020 | 28* | 2020 |
| Quantum Tensor Networks, Stochastic Processes, and Weighted Automata S Adhikary, S Srinivasan, J Miller, G Rabusseau, B Boots International Conference on Artificial Intelligence and Statistics, 2080-2088, 2021 | 22* | 2021 |
| A Fully Tensorized Recurrent Neural Network CC Onu, JE Miller, D Precup arXiv preprint arXiv:2010.04196, 2020 | 14 | 2020 |
| TorchMPS J Miller https://github.com/jemisjoky/torchmps, 2019 | 14 | 2019 |
| Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework J Miller, G Roeder, TD Bradley arXiv preprint arXiv:2106.15666, 2021 | 8 | 2021 |
| Towards a Trace-Preserving Tensor Network Representation of Quantum Channels S Srinivasan, S Adhikary, J Miller, B Pokharel, G Rabusseau, B Boots | 6 | 2021 |
| Generative Learning of Continuous Data by Tensor Networks A Meiburg, J Chen, J Miller, R Tihon, G Rabusseau, A Perdomo-Ortiz arXiv preprint arXiv:2310.20498, 2023 | 3 | 2023 |
| Qubit seriation: Improving data-model alignment using spectral ordering A Acharya, M Rudolph, J Chen, J Miller, A Perdomo-Ortiz arXiv preprint arXiv:2211.15978, 2022 | 2 | 2022 |
| ContracTN: A Tensor Network Library Designed for Machine Learning J Miller, G Rabusseau | | 2021 |
| Measurement-Based Quantum Computation and Symmetry-Protected Topological Order J Miller University of New Mexico, 2017 | | 2017 |
Guillaume RabusseauAssistant Professor - Canada CIFAR AI Chair, Université de Montréal / MilaBestätigte E-Mail-Adresse bei iro.umontreal.ca
