3 papers
quant-ph2026
Benchmarking Dark Matter Search using a Parity-Check Protocol with Machine-Learning Optimized Pulses
Yu-Han Chang, Ilya Moskalenko, Marko KuzmanoviÄ +7
We report on an improved microwave detection protocol for dark matter candidates such as the axion and the dark photon. We employ a superconducting transmon qubit dispersively coup…
quant-ph2025
Quantum Process Tomography with Digital Twins of Error Matrices
Tangyou Huang, Akshay Gaikwad, Ilya Moskalenko +19
Accurate and robust quantum process tomography (QPT) is crucial for verifying quantum gates and diagnosing implementation faults in experiments aimed at building universal quantum…
quant-ph2025
Neural-network-based design and implementation of fast and robust quantum gates
Marko KuzmanoviÄ, Ilya Moskalenko, Yu-Han Chang +11
We present a continuous-time, neural-network-based approach to optimal control in quantum systems, with a focus on pulse engineering for quantum gates. Leveraging the framework of…