7 papers
A Unified Quantum Neural Network Framework for Hamiltonian Learning and Emulation of Unknown Quantum Systems
Ahmad Salmanogli
Accurate identification of unknown quantum systems is essential for quantum computing, sensing, and control because the Hamiltonian governs quantum state evolution. This work propo…
Implementing Grover Algorithm on Quantum Chip Architecture Optimized with QGHNN for Fidelity and Entanglement Preservation
Ahmad Salmanogli, Hesam Zandi
This study introduces a superconducting quantum chip architecture designed to simultaneously preserve entanglement and readout fidelity, addressing one of the key trade-offs in the…
Technical Review on RF-Amplifiers for Quantum Computer Circuits: New Architectures of Josephson Parametric Amplifier
Ahmad Salmanogli, Hesam Zandi, Mahdi Esmaeili +2
Josephson Parametric Amplifiers (JPAs) are key components in quantum information processing due to their ability to amplify weak quantum signals with near-quantum-limited noise per…
Design of Advanced Readout and System-on-Chip Analog Circuits for Quantum Chip
Ahmad Salmanogli, Hesam Zandi, Mahdi Esmaeili Turan Poshti +3
In this work, we design an advanced quantum readout architecture that integrates a four qubit superconducting chip with a novel parametric amplifier ended with analog front-end cir…
Design of Qubit Readout Circuit for Purcell Rate Suppressing and Nonclassicality Enhancing
Ahmad Salmanogli, Hesam Zandi, Saeed Hajihosseini +3
The Purcell effect, a common issue in qubit-resonator systems leading to both fidelity and nonclassicality losses is studied while its suppression is achieved using a novel qubit r…
Blochnium-Based Josephson Junction Parametric Amplifiers: Superior Tunability and Linearity
A. Salmanogli, H. Zandi, M. Akbari
The weak quantum signal amplification is an essential task in quantum computing. In this study, a recently introduced structure of Josephson junctions array called Blochnium (N ser…