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Quantum computing is needed for important applications in medicine, business, trade, environmental protection, and national security. Current quantum computers are difficult to implement and suffer from noise, high error rates, and loss of quantum coherence. The newly proposed implementation method combines decoupling of Q-bits in space and time with encoding quantum bits in data. This creates a 3D mapping of Q-bits in space, time, and encoding to reduce the complexity of implementing Q-bits in silicon. The complexity reduction of implementing quantum bits in silicon for 36 Q-bits is a factor of 16 million, and it also reduces the time to access the quantum data by the same ratio.

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Simple Quantum Computing Implemented in Silicon with Decoupling and Encoding Quantum Bits in Classical Data

  • 会议论文

  • 发表日期：

    2026年

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  • Nagi Mekhiel

摘要

Quantum computing is needed for important applications in medicine, business, trade, environmental protection, and national security. Current quantum computers are difficult to implement and suffer from noise, high error rates, and loss of quantum coherence. The newly proposed implementation method combines decoupling of Q-bits in space and time with encoding quantum bits in data. This creates a 3D mapping of Q-bits in space, time, and encoding to reduce the complexity of implementing Q-bits in silicon. The complexity reduction of implementing quantum bits in silicon for 36 Q-bits is a factor of 16 million, and it also reduces the time to access the quantum data by the same ratio.