244 citations · 1.3k across the 42 of their papers we have counts for
5 papers · 1 filter
Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems
Freya Shah, Taylor L. Patti, Julius Berner +3
Fourier Neural Operators (FNOs) excel on tasks using functional data, such as those originating from partial differential equations. Such characteristics render them an effective a…
Towards a scalable discrete quantum generative adversarial neural network
Smit Chaudhary, Patrick Huembeli, Ian MacCormack +3
We introduce a fully quantum generative adversarial network intended for use with binary data. The architecture incorporates several features found in other classical and quantum m…
Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints
Taylor L. Patti, Jean Kossaifi, Anima Anandkumar +1
Semidefinite programs are optimization methods with a wide array of applications, such as approximating difficult combinatorial problems. One such semidefinite program is the Goema…
TensorLy-Quantum: Quantum Machine Learning with Tensor Methods
Taylor L. Patti, Jean Kossaifi, Susanne F. Yelin +1
Simulation is essential for developing quantum hardware and algorithms. However, simulating quantum circuits on classical hardware is challenging due to the exponential scaling of…
Variational Quantum Optimization with Multi-Basis Encodings
Taylor L. Patti, Jean Kossaifi, Anima Anandkumar +1
Despite extensive research efforts, few quantum algorithms for classical optimization demonstrate realizable quantum advantage. The utility of many quantum algorithms is limited by…