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- W4280492336 abstract "Quantum computing (QC) offers a new computing paradigm that has the potential to provide significant speedups over classical computing. Each additional qubit doubles the size of the computational state space available to a quantum algorithm. Such exponentially expanding reach underlies QC's power, but at the same time puts demanding requirements on the quantum processing units (QPU) hardware. On the other hand, purely classical simulations of quantum circuits on either central processing unit (CPU) or graphics processing unit (GPU) scale poorly as they quickly become bottlenecked by runtime and memory. This paper introduces CutQC, a scalable hybrid computing approach that distributes a large quantum circuit onto quantum (QPU) and classical platforms (CPU or GPU) for co-processing. CutQC demonstrates evaluation of quantum circuits that are larger than the limit of QPU or classical simulation, and achieves much higher quantum circuit evaluation fidelity than the large NISQ devices achieve in real-system runs." @default.
- W4280492336 created "2022-05-22" @default.
- W4280492336 creator A5002015508 @default.
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- W4280492336 date "2022-05-11" @default.
- W4280492336 modified "2023-09-26" @default.
- W4280492336 title "Cutting Quantum Circuits to Run on Quantum and Classical Platforms" @default.
- W4280492336 doi "https://doi.org/10.48550/arxiv.2205.05836" @default.
- W4280492336 hasPublicationYear "2022" @default.
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