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20232026
most citedA flexible framework for large-scale FDTD simulations: open-source inverse design for 3D nanostructures

2 citations · 5 across the 20 of their papers we have counts for

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quant-ph2026

Reinforcement learning for ion shuttling on trapped-ion quantum computers

Maximilian Schier, Lea Richtmann, Christian Staufenbiel +4

Scalable trapped-ion quantum computing is commonly realized with modular chips that feature distinct zones with specific functionalities, such as storage, state preparation, and ga…

quant-ph2026

Stochastic Neural Networks for Quantum Devices

Bodo Rosenhahn, Tobias J. Osborne, Christoph Hirche

This work presents a formulation to express and optimize stochastic neural networks as quantum circuits in gate-based quantum computing. Motivated by a classical perceptron, stocha…