8 papers · 1 filter
Learning and Generating Mixed States Prepared by Shallow Channel Circuits
Fangjun Hu, Christian Kokail, Milan KornjaÄa +5
Learning quantum states from measurement data is a central problem in quantum information and computational complexity. In this work, we study the problem of learning to generate m…
Compilation of QCrank Encoding Algorithm for a Dynamically Programmable Qubit Array Processor
Jan Balewski, Wan-Hsuan Lin, Anupam Mitra +5
Algorithm and hardware-aware compilation co-design is essential for the efficient deployment of near-term quantum programs. We present a compilation case-study implementing QCrank…
Digital-analog quantum learning on Rydberg atom arrays
Jonathan Z. Lu, Lucy Jiao, Kristina Wolinski +6
We propose hybrid digital-analog learning algorithms on Rydberg atom arrays, combining the potentially practical utility and near-term realizability of quantum learning with the ra…
Robust Quantum Reservoir Computing for Molecular Property Prediction
Daniel Beaulieu, Milan Kornjaca, Zoran Krunic +4
Machine learning has been increasingly utilized in the field of biomedical research to accelerate the drug discovery process. In recent years, the emergence of quantum computing ha…
Observation of string breaking on a (2 + 1)D Rydberg quantum simulator
Daniel Gonzalez-Cuadra, Majd Hamdan, Torsten V. Zache +10
Lattice gauge theories (LGTs) describe a broad range of phenomena in condensed matter and particle physics. A prominent example is confinement, responsible for bounding quarks insi…
Long-lived oscillations of metastable states in neutral atom systems
Siva Darbha, Milan KornjaÄa, Fangli Liu +7
Metastable states arise in a range of quantum systems and can be observed in various dynamical scenarios, including decay, bubble nucleation, and long-lived oscillations. The pheno…