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Material-Inherent Noise Sources in Quantum Information Architecture

期刊

MATERIALS
卷 16, 期 7, 页码 -

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MDPI
DOI: 10.3390/ma16072561

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quantum information processing; quantum technologies; noise; decoherence; superconducting quantum system; semiconductor spin-qubit quantum systems; trapped-ion quantum systems

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NISQ is an acronym for noisy intermediate-scale quantum, which represents the current era of quantum information processing (QIP) technologies. QIP science and technologies aim to achieve unprecedented performance in computation, communications, simulations, and sensing by exploiting the principles of quantum mechanics. This review explores noisy processes in quantum architectures and discusses research on noise reduction methods for building advanced, large-scale quantum technologies in the future.
NISQ is a representative keyword at present as an acronym for noisy intermediate-scale quantum, which identifies the current era of quantum information processing (QIP) technologies. QIP science and technologies aim to accomplish unprecedented performance in computation, communications, simulations, and sensing by exploiting the infinite capacity of parallelism, coherence, and entanglement as governing quantum mechanical principles. For the last several decades, quantum computing has reached to the technology readiness level 5, where components are integrated to build mid-sized commercial products. While this is a celebrated and triumphant achievement, we are still a great distance away from quantum-superior, fault-tolerant architecture. To reach this goal, we need to harness technologies that recognize undesirable factors to lower fidelity and induce errors from various sources of noise with controllable correction capabilities. This review surveys noisy processes arising from materials upon which several quantum architectures have been constructed, and it summarizes leading research activities in searching for origins of noise and noise reduction methods to build advanced, large-scale quantum technologies in the near future.

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