148 citations · 378 across the 25 of their papers we have counts for
5 papers · 1 filter
Expressive Quantum Perceptrons for Quantum Neuromorphic Computing
Rodrigo Araiza Bravo, Khadijeh Najafi, Taylor L. Patti +2
Quantum neuromorphic computing (QNC) is a sub-field of quantum machine learning (QML) that capitalizes on inherent system dynamics. As a result, QNC can run on contemporary, noisy…
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…
Optimized geometries for cooperative photon storage in an impurity coupled to a two-dimensional atomic array
Samuel Buckley-Bonanno, Stefan Ostermann, Oriol Rubies-Bigorda +2
The collective modes of two-dimensional ordered atomic arrays can modify the radiative environment of embedded atomic impurities. We analyze the role of the lattice geometry on the…
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…
Markov Chain Monte-Carlo Enhanced Variational Quantum Algorithms
Taylor L. Patti, Omar Shehab, Khadijeh Najafi +1
Variational quantum algorithms are poised to have significant impact on high-dimensional optimization, with applications in classical combinatorics, quantum chemistry, and condense…