论文标题
通过嘈杂的量子门解码极性代码：量子电路和见解
Decoding Polar Codes via Noisy Quantum Gates: Quantum Circuits and Insights
论文作者
论文摘要
在无线网络应用程序中使用量子计算是一种有希望的范式，以弥合实践内和最佳无线算法之间的性能差距。尽管当今的量子技术提供了有限数量的Qubits和低忠诚门，但基于应用程序的量子解决方案帮助我们进一步了解和提高此类技术的性能。本文介绍了Qgated-Polar，这是一种新型的量子门基于极性误差校正代码的最大可能性解码器设计，这些设计在当今的5G和明天的Nextg Wireless网络中变得广泛。通过利用量子现象（例如叠加，纠缠和干扰），使用量子门来决定极地代码解码的时间演变 - 从接收到的无线软数据到最终解码溶液，从而使其适合于量子栅极的计算机。我们的早期结果表明，Qgated极性在理想的量子模拟中实现了最大似然性能，证明了性能如何随噪声而变化。
The use of quantum computation for wireless network applications is emerging as a promising paradigm to bridge the performance gap between in-practice and optimal wireless algorithms. While today's quantum technology offers limited number of qubits and low fidelity gates, application-based quantum solutions help us to understand and improve the performance of such technology even further. This paper introduces QGateD-Polar, a novel Quantum Gate-based Maximum-Likelihood Decoder design for Polar error correction codes, which are becoming widespread in today's 5G and tomorrow's NextG wireless networks. QGateD-Polar uses quantum gates to dictate the time evolution of Polar code decoding -- from the received wireless soft data to the final decoded solution -- by leveraging quantum phenomena such as superposition, entanglement, and interference, making it amenable to quantum gate-based computers. Our early results show that QGateD-Polar achieves the Maximum Likelihood performance in ideal quantum simulations, demonstrating how performance varies with noise.
