6 papers
Fast and Parallel High-Rate STAR Architecture for Megaquop Quantum Simulation
Refaat Ismail, Milan KornjaÄa, Hong-Ye Hu +4
Fault-tolerant quantum simulation is approaching a phase where encoding overhead, logical Clifford operations, magic-state preparation, and rotation synthesis must be optimized tog…
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…
Quantum criticality and nonequilibrium dynamics on a Lieb lattice of Rydberg atoms
Mark R. Hirsbrunner, Milan KornjaÄa, Rhine Samajdar +9
Neutral-atom quantum simulators offer a promising approach to the exploration of strongly interacting many-body systems, with applications spanning condensed matter, statistical me…
Observation of an anomaly in the statistics of Kibble-Zurek defects
Jan Balewski, Alexey Khudorozhkov, Siva Darbha +8
The Kibble-Zurek mechanism quantifies defect formation during adiabatic passage across a continuous phase transition, providing key insights into universality in quantum many-body…
Probing emergent prethermal dynamics and resonant melting on a programmable quantum simulator
Siva Darbha, Alexey Khudorozhkov, Pedro L. S. Lopes +11
The dynamics of isolated quantum systems following a sudden quench plays a central role in many areas of material science, high-energy physics, and quantum chemistry. Featuring com…
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…