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# Quantum algorithm for persistent Betti numbers and topological data analysis

## Quantum Optimal Control via Semi-Automatic Differentiation

## Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware

## Towards a general framework of Randomized Benchmarking incorporating non-Markovian Noise

## Efficient simulation of Gottesman-Kitaev-Preskill states with Gaussian circuits

## The Complexity of Bipartite Gaussian Boson Sampling

## On contraction coefficients, partial orders and approximation of capacities for quantum channels

## Graph neural network initialisation of quantum approximate optimisation

## Quantum simulation of real-space dynamics

Michael H. Goerz, Sebastián C. Carrasco, and Vladimir S. Malinovsky,

Johannes Weidenfeller, Lucia C. Valor, Julien Gacon, Caroline Tornow, Luciano Bello, Stefan Woerner, and Daniel J. Egger,

Pedro Figueroa-Romero, Kavan Modi, and Min-Hsiu Hsieh,

Cameron Calcluth, Alessandro Ferraro, and Giulia Ferrini,

Daniel Grier, Daniel J. Brod, Juan Miguel Arrazola, Marcos Benicio de Andrade Alonso, and Nicolás Quesada,

Christoph Hirche, Cambyse Rouzé, and Daniel Stilck França,

Nishant Jain, Brian Coyle, Elham Kashefi, and Niraj Kumar,

Andrew M. Childs, Jiaqi Leng, Tongyang Li, Jin-Peng Liu, and Chenyi Zhang,