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Quantum-classical processing and benchmarking at the pulse-level

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arxiv 2303.03816 v2 pith:PRO5N5GY submitted 2023-03-07 quant-ph

Quantum-classical processing and benchmarking at the pulse-level

classification quant-ph
keywords quantumprocessingpulse-levelcontrolquantum-classicalbenchmarksrequirementsallows
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Towards the practical use of quantum computers in the NISQ era, as well as the realization of fault-tolerant quantum computers that utilize quantum error correction codes, pressing needs have emerged for the control hardware and software platforms. In particular, a clear demand has arisen for platforms that allow classical processing to be integrated with quantum processing. While recent works discuss the requirements for such quantum-classical processing integration that is formulated at the gate-level, pulse-level discussions are lacking and are critically important. Moreover, defining concrete performance benchmarks for the control system at the pulse-level is key to the necessary quantum-classical integration. In this work, we categorize the requirements for quantum-classical processing at the pulse-level, demonstrate these requirements with a variety of use cases, including recently published works, and propose well-defined performance benchmarks for quantum control systems. We utilize a comprehensive pulse-level language that allows embedding universal classical processing in the quantum program and hence allows for a general formulation of benchmarks. We expect the metrics defined in this work to form a solid basis to continue to push the boundaries of quantum computing via control systems, bridging the gap between low-level and application-level implementations with relevant metrics.

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Cited by 2 Pith papers

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    The authors present Pilot-Quantum, a middleware for adaptive resource management in hybrid quantum-HPC systems, along with execution motifs and a performance modeling toolkit called Q-Dreamer.

  2. Review of Superconducting Qubit Devices and Their Large-Scale Integration

    quant-ph 2026-02 accept novelty 1.0

    A review summarizing superconducting qubit types, DiVincenzo criteria implementations, coherence limits from defects, and large-scale integration strategies for quantum computing.