论文标题
量子数据压缩的实际应用信息丢失和运行时间
Information loss and run time from practical application of quantum data compression
论文作者
论文摘要
我们检查信息损失，资源成本以及从实际应用量子数据压缩的时间。将量子数据压缩到更少的Qubits，可以有效利用资源，以及用于量子通信和降解的应用程序。在这种情况下，我们提供了使用IBM的Qiskit语言实现的混合量子自动编码器算法的量子和经典组件的描述。利用我们自己的数据集，我们将位图图像编码为量子叠加状态，这对应于具有离散值的密度矩阵线性独立的向量。我们使用仿真成功地通过几乎无数的压缩压缩了这些数据，然后在IBMQ量子芯片上运行算法。我们描述条件并运行时间以压缩量子设备的数据。
We examine information loss, resource costs, and run time from practical application of quantum data compression. Compressing quantum data to fewer qubits enables efficient use of resources, as well as applications for quantum communication and denoising. In this context, we provide a description of the quantum and classical components of the hybrid quantum autoencoder algorithm, implemented using IBM's Qiskit language. Utilizing our own data sets, we encode bitmap images as quantum superposition states, which correspond to linearly independent vectors with density matrices of discrete values. We successfully compress this data with near-lossless compression using simulation, and then run our algorithm on an IBMQ quantum chip. We describe conditions and run times for compressing our data on quantum devices.
