2 papers
quant-ph2026
Physics-Informed Learning of Effective Error Processes from Limited Noisy Transmon Measurements for Robust QAOA Reliability
Ebrahim Khaleghian, Özgür E. Müstecaplıoğlu
We study whether limited finite-shot calibration measurements from a hidden transmon-inspired simulator can be used to learn compact, task-relevant effective error models for varia…
quant-ph2024
Development of Neural Network-Based Optimal Control Pulse Generator for Quantum Logic Gates Using the GRAPE Algorithm in NMR Quantum Computer
Ebrahim Khaleghian, Arash Fath Lipaei, Abolfazl Bahrampour +2
In this paper, we introduce a neural network to generate optimal control pulses for general single-qubit quantum logic gates, within a Nuclear Magnetic Resonance (NMR) quantum comp…