Kavli Affiliate: Jing Wang
| First 5 Authors: Tianrui Zou, Yuan Fang, Jing Wang, Menghan Dou, Jun Fu
| Summary:
QPanda3 is a high-performance quantum programming framework that enhances
quantum computing efficiency through optimized circuit compilation, an advanced
instruction stream format (OriginBIS), and hardware-aware execution strategies.
These engineering optimizations significantly improve both processing speed and
system performance, addressing key challenges in the NISQ era. A core
innovation, OriginBIS, accelerates encoding speeds by up to 86.9x compared to
OpenQASM 2.0, while decoding is 35.6x faster, leading to more efficient data
handling, reduced memory overhead, and improved communication efficiency. This
directly enhances the execution of quantum circuits, making large-scale quantum
simulations more feasible. Comprehensive benchmarking demonstrates QPanda3’s
superior performance: quantum circuit construction is 20.7x faster, execution
speeds improve by 3.4x, and transpilation efficiency increases by 14.97x over
Qiskit. Notably, in compiling a 118-qubit W-state circuit on a 2D-grid
topology, QPanda3 achieves an unprecedented 869.9x speedup, underscoring its
ability to handle complex quantum workloads at scale. By combining high-speed
quantum processing with a modular and extensible software architecture, QPanda3
provides a practical bridge between today’s NISQ devices and future
fault-tolerant quantum computing. It facilitates real-world applications in
financial modeling, materials science, and combinatorial optimization, while
its robust and scalable design supports industrial adoption and cloud-based
deployment.
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