Quantum Computing in the NISQ era and beyond

Quantum Computing in the NISQ era and beyond

30 July 2018 | John Preskill
John Preskill discusses the current status and future potential of quantum computing, particularly in the context of Noisy Intermediate-Scale Quantum (NISQ) technology. He highlights that while NISQ devices will be useful for exploring many-body quantum physics and have other applications, they are not expected to revolutionize the world immediately. The main message is that while quantum technology will have a substantial impact on society in the coming decades, its commercial potential in the near term is uncertain. Preskill emphasizes the importance of quantum entanglement and quantum complexity in understanding the power of quantum computing. He also discusses the challenges of building fault-tolerant quantum computers and the role of quantum error correction. The article explores various applications of quantum computing, including quantum optimization, quantum annealing, quantum deep learning, and quantum simulation, while acknowledging the limitations and potential trade-offs of NISQ technology.John Preskill discusses the current status and future potential of quantum computing, particularly in the context of Noisy Intermediate-Scale Quantum (NISQ) technology. He highlights that while NISQ devices will be useful for exploring many-body quantum physics and have other applications, they are not expected to revolutionize the world immediately. The main message is that while quantum technology will have a substantial impact on society in the coming decades, its commercial potential in the near term is uncertain. Preskill emphasizes the importance of quantum entanglement and quantum complexity in understanding the power of quantum computing. He also discusses the challenges of building fault-tolerant quantum computers and the role of quantum error correction. The article explores various applications of quantum computing, including quantum optimization, quantum annealing, quantum deep learning, and quantum simulation, while acknowledging the limitations and potential trade-offs of NISQ technology.
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