3 papers
quant-ph2026
Physics-Informed Learning of Effective Error Processes from Limited Noisy Transmon Measurements for Robust QAOA Reliability
Ebrahim Khaleghian, Ãzgür E. MüstecaplıoÄlu
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-ph2026
Fidelity-informed neural pulse compilation of a continuous family of quantum gates with uncertainty-margin analysis
Arash Fath Lipaei, Ebrahim Khaleghian, Gani Göral +3
We develop a fidelity-informed neural pulse-compilation framework for a continuous family of single-qubit gates on a three-qubit liquid-state nuclear magnetic resonance (NMR) proce…
quant-ph2025
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…