178 citations · 1.2k across the 34 of their papers we have counts for
3 papers · 1 filter
An IQP Born Machine for Calorimeter Image Generation at 64 Qubits with Compiled-IQP Deployment
Jamal Slim, Saverio Monaco, Florian Rehm +2
The challenge to scaling quantum generative models on near-term hardware is training. Variational circuit Born machines require repeated quantum sampling and are prone to barren pl…
Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits
Saverio Monaco, Jamal Slim, Florian Rehm +2
Quantum Machine Learning models typically require expensive on-chip training procedures and often lack efficient gradient estimation methods. By employing Pauli propagation, it is…
Modelling for Quantum Error Mitigation
Tom Weber, Matthias Riebisch, Kerstin Borras +2
While we expect quantum computers to surpass their classical counterparts in the future, current devices are prone to high error rates and techniques to minimise the impact of thes…