Publications

Our publications provide insight into some of our leading-edge research.

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2026

Fast and accurate AI-based pre-decoders for color codes
Jan Olle, Christopher Chamberland, Muyuan Li, Igor Baratta

2025

Augmenting Simulated Noisy Quantum Data Collection by Orders of Magnitude Using Pre-Trajectory Sampling with Batched Execution
Taylor Patti, Thien Nguyen, Justin Lietz, Alex McCaskey, Brucek Khailany
Expressive quantum perceptrons for quantum neuromorphic computing
Rodrigo Araiza Bravo, Taylor Patti, Khadijeh Najafi, Xun Gao, Susanne F. Yelin
Towards large-scale quantum optimization solvers with few qubits
Marco Sciorilli, Lucas Borges, Taylor Patti, Diego Garcia-Martin, Giancarlo Camilo, Anima Anandkumar, Leandro Aolita

2024

Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic
Andi Gu, Hong-Ye Hu, Di Luo, Taylor Patti, Nicholas C. Rubin, Susanne F. Yelin
Near-term distributed quantum computation using mean-field corrections and auxiliary qubits
Abigail McClain-Gomez, Taylor Patti, Anima Anandkumar, Susanne F. Yelin
Quantum computing with subwavelength atomic arrays
Freya Shah, Taylor Patti, Oriol Rubies-Bigorda, Susanne F. Yelin

2023

Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints
Taylor Patti, Jean Kossaifi, Anima Anandkumar, Susanne F. Yelin
Towards a scalable discrete quantum generative adversarial neural network
Smit Chaudhary, Patrick Huembeli, Ian MacCormack, Taylor Patti, Jean Kossaifi, Alexey Galda

2022

Optimized geometries for cooperative photon storage in an impurity coupled to a two-dimensional atomic array
Samuel Buckley-Bonanno, Stefan Ostermann, Oriol Rubies-Bigorda, Taylor Patti, Susanne F. Yelin
Editors' Suggestion
Variational quantum optimization with multibasis encodings
Taylor Patti, Jean Kossaifi, Anima Anandkumar, Susanne F. Yelin