9 papers
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…
Distinct effect of Kondo physics on crystal field splitting in electron and spin spectroscopies
M. KornjaÄa, R. Flint
Magnetic anisotropy is a key feature of rare earth materials from permanent magnets to heavy fermions. We explore the complex interplay of Kondo physics and anisotropy, and their e…
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…