698 citations · 7.1k across the 49 of their papers we have counts for
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Parameterized Reinforcement Learning for Optical System Optimization
Heribert Wankerl, Maike L. Stern, Ali Mahdavi +2
Designing a multi-layer optical system with designated optical characteristics is an inverse design problem in which the resulting design is determined by several discrete and cont…
Implementation of Conditional-Phase Gates based on tunable ZZ-Interactions
Michele C. Collodo, Johannes Herrmann, Nathan Lacroix +7
High fidelity two-qubit gates exhibiting low crosstalk are essential building blocks for gate-based quantum information processing. In superconducting circuits two-qubit gates are…
Realizing a Deterministic Source of Multipartite-Entangled Photonic Qubits
Jean-Claude Besse, Kevin Reuer, Michele C. Collodo +11
Sources of entangled electromagnetic radiation are a cornerstone in quantum information processing and offer unique opportunities for the study of quantum many-body physics in a co…
Benchmarking Coherent Errors in Controlled-Phase Gates due to Spectator Qubits
S. Krinner, S. Lazar, A. Remm +7
A major challenge in operating multi-qubit quantum processors is to mitigate multi-qubit coherent errors. For superconducting circuits, besides crosstalk originating from imperfect…
Improving the Performance of Deep Quantum Optimization Algorithms with Continuous Gate Sets
Nathan Lacroix, Christoph Hellings, Christian Kraglund Andersen +9
Variational quantum algorithms are believed to be promising for solving computationally hard problems and are often comprised of repeated layers of quantum gates. An example thereo…