As quantum computing chips evolve from laboratory prototypes to scalable engineering systems, a new approach to their design becomes essential. Recent work proposes a Quantum Chip Paradigm Framework that views Quantum Electronic Design Automation (Q-EDA) not merely as software, but as an integral part of the quantum chip development. This framework aims to shift quantum chip design from its current experience-based approach to model-driven engineering, akin to the "SPICE moment" that revolutionized classical circuit design.

The primary challenge lies in the increasing qubit scale, control complexity, frequency planning, packaging, process variation, and cryogenic measurement feedback. Unlike classical design, which often begins with Hardware Description Languages (HDLs), quantum chip design must start with fundamental physical structures such as Josephson junctions, resonators, couplers, readout elements, and control lines, as well as the packaging environment. The proposed framework emphasizes PCell-based modeling, SPICE-Q simulation, Quantum Process Design Kits (PDKs), and the co-optimization of design, technology, and measurement.

The hierarchical Q-EDA system outlined in the study spans from physical structures and qubit PCells to logical qubits, quantum arithmetic, functional Quantum Intellectual Property (IP), and Quantum System-on-Chip (SoC) systems. The fundamental goal is to transform physical models, layout rules, simulation results, fabrication data, and measurement feedback into reusable and auditable engineering objects. This is crucial for the development of large-scale quantum processors and fault-tolerant quantum computing, facilitating a more efficient and robust transition from research to production.