EPOC: An Efficient Pulse Generation Framework with Advanced Synthesis for Quantum Circuits
Jinglei Cheng, Yuchen Zhu, Yidong Zhou, Hang Ren, Zhixin Song, Zhiding Liang
摘要
Quantum optimal control has been explored by researchers due to its capability to greatly reduce circuit latency. However, it is also known for its significant computational overhead. Previous works have proposed various methods to accelerate quantum optimal control, such as utilizing GPUs, pre-compilation techniques, and improved circuit libraries. These pulse generation frameworks focus on generating pulses from unitary matrices derived from quantum circuits, without exploring better unitary matrices through equivalent representations. Consequently, they overlook many optimization opportunities by adopting coarse-grained methods. In this work, we propose a novel approach that combines ZX-Calculus, circuit partitioning and circuit synthesis to accelerate pulse generation. Our contribution lies in employing finer granularity in pulse generation, enabling increased parallelism and decreased latency in quantum pulses. Finer granularity is achieved by grouping quantum gates and decomposing the resulting unitary matrices into smaller unitary matrices using synthesis techniques. Additionally, we explore further optimization possibilities by continuously optimizing the circuit through the identification of equivalent representations. By adopting these techniques, we achieve a further reduction in circuit latency while only requiring quantum optimal control for relatively small-sized unitary matrices. For the first time, circuit synthesis is introduced into the workflow of quantum optimal control. We are able to achieve 31.74% reduction in latency compared to previous work and a 76.80% reduction compared with the gatebased method to create pulses. Our approach demonstrates the potentials for significant performance improvements in quantum circuits while minimizing the computational overhead associated with quantum optimal control.
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它引用的顶会 Paper4
- Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-SupervisionJun Zhuang, Mohammad Al HasanAAAI 2022 · 被引用 48 次
- AccQOC: Accelerating Quantum Optimal Control Based Pulse GenerationJinglei Cheng, Haoqing Deng, Xuehai QianISCA 2020 · 被引用 30 次
- A Pulse Generation Framework with Augmented Program-aware Basis Gates and Criticality AnalysisYan-Hao Chen, Yuwei Jin, Fei Hua, Ari B. Hayes 等HPCA 2023 · 被引用 11 次
- Exploiting the Regular Structure of Modern Quantum Architectures for Compiling and Optimizing Programs with Permutable OperatorsYuwei Jin, Fei Hua, Yan-Hao Chen, Ari B. Hayes 等ASPLOS 2023 · 被引用 5 次
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