602 citations · 653 across the 7 of their papers we have counts for
7 papers
High-fidelity entangling gates and nonlocal circuits with neutral atoms
Simon J. Evered, Muqing Xu, Sophie H. Li +9
Creation and manipulation of entanglement with low error is essential in quantum information systems. In practice, two-qubit entangling gates constitute a dominant error source, li…
Learning and Generating Mixed States Prepared by Shallow Channel Circuits
Fangjun Hu, Christian Kokail, Milan Kornjača +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…
Unified Probe of Quantum Chaos and Ergodicity from Hamiltonian Learning
Nik O. Gjonbalaj, Christian Kokail, Susanne F. Yelin +1
Developing measures of quantum ergodicity and chaos stands as a foundational task in the study of quantum many-body systems. In this work, we propose metrics for these effects base…
Inverse Quantum Simulation for Quantum Material Design
Christian Kokail, Pavel E. Dolgirev, Rick van Bijnen +3
Quantum simulation provides a powerful route for exploring many-body phenomena beyond the capabilities of classical computation. Existing approaches typically proceed in the forwar…
Architectural mechanisms of a universal fault-tolerant quantum computer
Dolev Bluvstein, Alexandra A. Geim, Sophie H. Li +20
Quantum error correction (QEC) is believed to be essential for the realization of large-scale quantum computers. However, due to the complexity of operating on the encoded `logical…
Programming optical-lattice Fermi-Hubbard quantum simulators
Cristian Tabares, Christian Kokail, Peter Zoller +2
Fermionic atoms in optical lattices provide a native implementation of Fermi-Hubbard (FH) models that can be used as analog quantum simulators of many-body fermionic systems. Recen…
Self-Verifying Variational Quantum Simulation of the Lattice Schwinger Model
Christian Kokail, Christine Maier, Rick van Bijnen +8
Hybrid classical-quantum algorithms aim at variationally solving optimisation problems, using a feedback loop between a classical computer and a quantum co-processor, while benefit…