523 citations · 700 across the 11 of their papers we have counts for
11 papers
Non-native Quantum Generative Optimization with Adversarial Autoencoders
Blake A. Wilson, Jonathan Wurtz, Vahagn Mkhitaryan +5
Large-scale optimization problems are prevalent in several fields, including engineering, finance, and logistics. However, most optimization problems cannot be efficiently encoded…
Large-scale quantum reservoir learning with an analog quantum computer
Milan Kornjača, Hong-Ye Hu, Chen Zhao +50
Quantum machine learning has gained considerable attention as quantum technology advances, presenting a promising approach for efficiently learning complex data patterns. Despite t…
Solving non-native combinatorial optimization problems using hybrid quantum-classical algorithms
Jonathan Wurtz, Stefan Sack, Sheng-Tao Wang
Combinatorial optimization is a challenging problem applicable in a wide range of fields from logistics to finance. Recently, quantum computing has been used to attempt to solve th…
Probing quantum floating phases in Rydberg atom arrays
Jin Zhang, Sergio H. Cantú, Fangli Liu +10
The floating phase, a critical incommensurate phase, has been theoretically predicted as a potential intermediate phase between crystalline ordered and disordered phases. In this s…
Scalar QED with Rydberg atoms
Yannick Meurice, James Corona, Sergio Cantu +6
We review recent suggestions to quantum simulate scalar electrodynamics (the lattice Abelian Higgs model) in dimensions with rectangular arrays of Rydberg atoms. We show that…
Probe knots and Hopf insulators with ultracold atoms
Dong-Ling Deng, Sheng-Tao Wang, Kai Sun +1
Knots and links are fascinating and intricate topological objects. Their influence spans from DNA and molecular chemistry to vortices in superfluid helium, defects in liquid crysta…