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<span style="margin:0px;font-size:15px;font-family:"Segoe UI", "Segoe UI Web (West European)", "Segoe UI", -apple-system, BlinkMacSystemFont, Roboto, "Helvetica Neue", sans-serif;color:rgb(32, 31, 30)">As announced last week we'll meet today</span><span style="color: rgb(32, 31, 30); font-family: "Segoe UI", "Segoe UI Web (West European)", "Segoe UI", -apple-system, BlinkMacSystemFont, Roboto, "Helvetica Neue", sans-serif; font-size: 15px;">,
Wednesday, March 31st at 03:30pm on bluejeans [1]. Abhi will introduce the Variational Quantum Classifier. </span></div>
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You will need to get yourself running with pennylane. I repeat below [2] previous instructions from Eric that should get you going. Any other means of running pennylane in a notebool (e.g. colab) will probably work also.</div>
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See you all at 3:30!</div>
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[1]<span> </span><a href="https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbluejeans.com%2F788204027&data=04%7C01%7Cwfedorko%40triumf.ca%7Cefe240bfb38e494eccc608d8de815a16%7Cc20535109cb34679a2d38f442e03b587%7C1%7C0%7C637503994462369357%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=h3oeh5Cj4e%2BfJEMn51WpkB86t3Lhi8H%2BnGC9zUhBX1g%3D&reserved=0" target="_blank" rel="noopener noreferrer" data-auth="Verified" originalsrc="https://bluejeans.com/788204027" shash="dEr6+NeW5pzbMr/Mi3lmlpTjnU3loVXNp9uXGuEVpkR+y9BkMWpL0eZf+Kg0/DuFcV9esy1yqrfg/q1VjofycUA/2oWv3F8h3bw08XqE8Qy80KjOE+HIlvkP6paGf6xkI1RZ1dj82dsLILMr8ilf5KOmHGwz2OvD5vSxzMUHEQg=" title="Original URL: https://bluejeans.com/788204027. Click or tap if you trust this link." style="margin:0px">https://bluejeans.com/788204027</a></div>
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[2]<br>
<font face="monospace">- Tested with<span> </span><span style="margin:0px;color:rgb(0, 0, 0)">Python 3.9.1</span></font></div>
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<font face="monospace"><span style="margin:0px;color:rgb(0, 0, 0)">- for conda users: an environment file<span> </span><span style="margin:0px">environment.yml</span><span> </span>is available<br>
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##########<br>
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<font face="monospace">- Get the package:</font></div>
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<font face="monospace"><a href="https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Ftriumfmlutils%2FQHack21&data=04%7C01%7Cwfedorko%40triumf.ca%7Cefe240bfb38e494eccc608d8de815a16%7Cc20535109cb34679a2d38f442e03b587%7C1%7C0%7C637503994462379345%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=PCzd7Ner%2BhPAoNVqJkBArrrN8rC3aD2Gyb0N0amp8Wc%3D&reserved=0" target="_blank" rel="noopener noreferrer" data-auth="Verified" originalsrc="https://github.com/triumfmlutils/QHack21" shash="m6t+xbT49V0BAlPut/AcPR5t5vVbR8CFnE24E7yZ8nuH+qI7z9/WiyRqx/yyr3acWxa7hCH+h5YYWMs/lu+3qCeZ4rsqcwegc2vougYqSZfj/zLLlqUC3fJSxQ6bW+57LPJkKb23bm3ohlanzKMRgTNkSkNP+cNaDbQENr7uieA=" title="Original URL: https://github.com/triumfmlutils/QHack21. Click or tap if you trust this link." style="margin:0px">https://github.com/triumfmlutils/QHack21</a></font></div>
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<font face="monospace">- install a local virtual environment and source it</font></div>
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<font face="monospace">python3 -m venv PATH/TO/MYVENV</font></div>
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<font face="monospace">source PATH/TO/VENV/bin/activate</font></div>
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<font face="monospace">- install the requirements:</font></div>
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<font face="monospace">python3 -m pip install -r<span> </span><span style="margin:0px;color:rgb(0, 0, 0)">QML_Challenges/requirements.txt</span></font></div>
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<font face="monospace">- add environment as jupyter kernel</font></div>
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<font face="monospace">ipython kernel install --name "MYVENV" --user</font></div>
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<font face="monospace">- start jupyter notebook from terminal</font></div>
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<font face="monospace">jupyter notebook<span> </span><span style="margin:0px;color:rgb(0, 0, 0)">VQE/VQE.ipynb</span></font></div>
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Select the kernel "MYENV" and enjoy :)</font></span><br>
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