Mitiq: A software package for error mitigation on noisy quantum computers

Quantum Kernel for Image Classification of Real World Manufacturing Defects

The quantum kernel method results clearly outperformed a classical SVM when analyzing low-resolution images with minimal feature selection on the quantum simulator, with inconsistent results when run on an actual quantum processor. We chose to use an existing quantum kernel method for classification. We applied dynamic decoupling error mitigation using the Mitiq package to the Quantum SVM kernel method, which, to our knowledge, has never been done for quantum kernel methods for image classification. We applied the quantum kernel method to classify real world image data from a manufacturing fac…

利用噪声模型与带误差缓解的NISQ设备模拟开放量子系统

Simulating open quantum systems using noise models and NISQ devices with error mitigation

本文在IBM和OQC的NISQ设备及噪声模拟中，利用Mitiq工具包的零噪声外推误差缓解技术模拟碰撞模型和马尔可夫库模型，成功减小误差并使结果与理论值重叠。

Towards the real-time evolution of gauge-invariant $\mathbb{Z}_2$ and $U(1)$ quantum link models on NISQ Hardware with error-mitigation

Practical quantum computing holds clear promise in addressing problems not generally tractable with classical simulation techniques, and some key physically interesting applications are those of real-time dynamics in strongly coupled lattice gauge theories. In this article, we benchmark the real-time dynamics of $\mathbb{Z}_2$ and $U(1)$ gauge invariant plaquette models using noisy intermediate scale quantum (NISQ) hardware, specifically the superconducting-qubit-based quantum IBM Q computers. We design quantum circuits for models of increasing complexity and measure physical observables such …

基于概率误差削减的自动化量子误差缓解

Automated quantum error mitigation based on probabilistic error reduction

本文提出自动化量子误差缓解软件框架，结合噪声层析成像与概率误差削减（PER），并集成 PyGSTi 和 Mitiq 工具，以降低采样开销并获得高精度期望值。

通过系统级误差缓解评估混合量子神经网络在噪声模型下的鲁棒性

Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation

本文评估了混合量子神经网络在噪声影响下的鲁棒性，通过集成多种误差缓解策略，发现不同噪声模型对性能影响显著，Pec在低噪声环境下表现较好，其他方法效果有限。

量子超导器件封装导电损耗的识别与抑制

Identification and Mitigation of Conducting Package Losses for Quantum Superconducting Devices

本文通过测量与仿真识别出封装导电损耗对超导谐振器内部品质因数的限制，并提出在衬底下方开孔及采用超导封装以降低欧姆损耗、提升Qi的方法。