Implementing Grover Algorithm on Quantum Chip Architecture Optimized with QGHNN for Fidelity and Entanglement Preservation
Ahmad Salmanogli, Hesam Zandi

TL;DR
This paper presents a superconducting quantum chip architecture that simultaneously preserves entanglement and readout fidelity, using a hybrid multiqubit configuration and numerical simulations to optimize performance for scalable quantum computing.
Contribution
It introduces a novel hybrid multiqubit architecture with tunable entanglement and high-fidelity readout, addressing key trade-offs in scalable quantum hardware development.
Findings
Maintains strong entanglement with avoided-crossing regions.
Achieves measurement fidelity around 0.995 under realistic noise.
Demonstrates co-optimization of entanglement and fidelity in a reconfigurable design.
Abstract
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 development of scalable quantum hardware. In conventional quantum circuits, strong qubit qubit coupling enhances entanglement but often leads to undesired crosstalk, dephasing, and reduced measurement fidelity. To mitigate these effects, we propose a hybrid multiqubit configuration consisting of nine transmon qubits organized into interior and exterior groups, interconnected via a flux tunable qubit and a network of distributed resonators. The interior qubits along with tunable qubit form an entanglement core, while the exterior qubits operate in the dispersive regime under large detuning to enable readout. The degree of entanglement can be dynamically tuned by adjusting the coupling between the central…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum and electron transport phenomena
