OneAdapt: Resource-Adaptive Compilation of Measurement-Based Quantum Computing for Photonic Hardware
Hezi Zhang, Jixuan Ruan, Dean Tullsen, Yufei Ding, Ang Li, Travis S. Humble
摘要
Measurement-based quantum computing (MBQC), a.k.a.one-way quantum computing (1WQC), is a universal quantum computing model, which is particularly well-suited for photonic platforms.In this model, computation is driven by measurements on an entangled state, which serves as an intermediate representation (IR) between programs and hardware.However, compilers on previous IRs lack adaptivity to resource constraints in photonic quantum computers.In this work, we propose a novel IR with new optimization passes, realizing a compiler that minimizes execution time while being adaptive to the hardware size, to the number of delay lines, and to whether the hardware can support the additional flexibility in the IR or not.Moreover, our optimization can be integrated with quantum error correction (QEC) to improve the efficiency of photonic faulttolerant quantum computing (FTQC).
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