EmuPlat: A Framework-Agnostic Platform for Quantum Hardware Emulation with Validated Transpiler-to-Pulse Pipeline

We present EmuPlat, a framework-agnostic quantum hardware emulation platform that addresses the interoperability gap between high-level quantum programming frameworks and hardware-specific pulse control systems. Unlike existing solutions that operate within isolated software stacks, EmuPlat provides a unified infrastructure with an extensible architecture that supports multiple quantum computing frameworks through its adapter pattern design, and its current implementation demonstrates CUDA-Q integration via OpenQASM translation. The platform implements a complete transpiler-compiler pipeline that systematically transforms abstract quantum circuits through four validated stages: (1) recursive gate decomposition to a minimal native set \(\mathcal {G}_{\text{native}} = \lbrace I, Z, RZ(\theta),\text{GPI2}(\phi),\\ CZ, M\rbrace\), (2) virtual Z optimization implementing phase tracking without physical pulses, (3) connectivity-aware routing with automated SWAP insertion, and (4) deterministic pulse compilation respecting hardware timing constraints. Our modular architecture, based on clean architecture principles and featuring a novel adapter pattern, supports the extensible integration of multiple quantum dynamics simulation engines while maintaining consistent interfaces. We demonstrate EmuPlat’s capabilities through comprehensive benchmarks on superconducting transmon architectures: Bell-state preparation achieves high fidelity (>99.9%) with hardware-calibrated noise models, while 4-qubit Quantum Fourier Transform implementations validate the pipeline for moderately sized quantum systems. Virtual Z optimisation achieves an average 41% reduction in pulse count for phase-heavy algorithms. Compilation overhead analysis shows a total pipeline latency of 5-12ms, with framework translation accounting for 66-88% of the overhead. The platform’s production-ready implementation, validated through end-to-end testing with TransformationValidator, establishes EmuPlat as essential infrastructure for accelerating hybrid quantum-classical algorithm development and hardware-software co-design.