123 citations · 336 across the 6 of their papers we have counts for
8 papers
Finite-rate sparse quantum codes aplenty
Maxime Tremblay, Guillaume Duclos-Cianci, Stefanos Kourtis
We introduce a methodology for generating random multi-qubit stabilizer codes based on solving a constraint satisfaction problem (CSP) on random bipartite graphs. This framework al…
Constant-overhead quantum error correction with thin planar connectivity
Maxime A. Tremblay, Nicolas Delfosse, Michael E. Beverland
Quantum LDPC codes may provide a path to build low-overhead fault-tolerant quantum computers. However, as general LDPC codes lack geometric constraints, naïve layouts couple many d…
Bounds on stabilizer measurement circuits and obstructions to local implementations of quantum LDPC codes
Nicolas Delfosse, Michael E. Beverland, Maxime A. Tremblay
In this work we establish lower bounds on the size of Clifford circuits that measure a family of commuting Pauli operators. Our bounds depend on the interplay between a pair of gra…
Rain rendering for evaluating and improving robustness to bad weather
Maxime Tremblay, Shirsendu Sukanta Halder, Raoul de Charette +1
Rain fills the atmosphere with water particles, which breaks the common assumption that light travels unaltered from the scene to the camera. While it is well-known that rain affec…
Mitiq: A software package for error mitigation on noisy quantum computers
Ryan LaRose, Andrea Mari, Sarah Kaiser +16
We introduce Mitiq, a Python package for error mitigation on noisy quantum computers. Error mitigation techniques can reduce the impact of noise on near-term quantum computers with…
Depth versus Breadth in Convolutional Polar Codes
Maxime Tremblay, Benjamin Bourassa, David Poulin
Polar codes were introduced in 2009 by Arikan as the first efficient encoding and decoding scheme that is capacity achieving for symmetric binary-input memoryless channels. Recentl…
Convolutional Polar Codes on Channels with Memory using Tensor Networks
Benjamin Bourassa, Maxime Tremblay, David Poulin
Arikan's recursive code construction is designed to polarize a collection of memoryless channels into a set of good and a set of bad channels, and it can be efficiently decoded usi…
Learning to segment on tiny datasets: a new shape model
Maxime Tremblay, André Zaccarin
Current object segmentation algorithms are based on the hypothesis that one has access to a very large amount of data. In this paper, we aim to segment objects using only tiny data…