{"blog_url":"https://randommemory.hatenablog.com/","author_name":"derwind","height":"190","author_url":"https://blog.hatena.ne.jp/derwind/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2022%2F02%2F23%2F161905\" title=\"Qiskit (55) \u2014\u91cf\u5b50\u6a5f\u68b0\u5b66\u7fd2 - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"Qiskit (55) \u2014\u91cf\u5b50\u6a5f\u68b0\u5b66\u7fd2","provider_name":"Hatena Blog","url":"https://randommemory.hatenablog.com/entry/2022/02/23/161905","type":"rich","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/d/derwind/20220223/20220223161802.png","provider_url":"https://hatena.blog","published":"2022-02-23 16:19:05","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","categories":["quantum_computing"],"version":"1.0","description":"Hybrid quantum-classical Neural Networks with PyTorch and Qiskit \u3053\u308c\u3092\u5b9f\u884c\u3057\u3066\u307f\u308b\u3002\u66f8\u7c4d\u306e\u4ed8\u5c5e\u30b3\u30fc\u30c9\u3068\u540c\u69d8\u306b UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internall\u2026","width":"100%"}