Commit 0e360ce0 authored by Amer Delilbasic's avatar Amer Delilbasic
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Update README.md

parent 0b8326a3
......@@ -20,17 +20,25 @@ Recent developments in Quantum Computing (QC) have paved the way for an enhancem
### D-Wave Leap
👌Everyone can make a free account to run on the D-Wave Advantage quantum annealer:
👌 Everyone can make a free account to run on the D-Wave Advantage quantum annealer:
- Make a free account to run on the D-Wave through 👉 (https://www.dwavesys.com/take-leap
- Sign up on D-Wave Leap through 👉 https://www.dwavesys.com/take-leap
- Install Ocean Software with 'pip install dwave-ocean-sdk' 👉 https://docs.ocean.dwavesys.com/en/latest/overview/install.html
- Configuring the D-Wave System as a Solver with 'dwave config create' 👉 https://docs.ocean.dwavesys.com/en/stable/overview/sapi.html
- Configure the D-Wave System as a Solver with 'dwave config create' 👉 https://docs.ocean.dwavesys.com/en/stable/overview/sapi.html
- Check the available computing time for your account on the D-Wave Leap Dashboard 👉 https://cloud.dwavesys.com/leap/login/
### IBM Quantum Experience
👌 Everyone can make a free account to run on IBM quantum machines and simulators:
- Sign up and login on IBM Quantum Experience through 👉 https://quantum-computing.ibm.com/login
- Install Qiskit with 'pip install qiskit' 👉 https://qiskit.org/documentation/getting_started.html
- In a notebook, configure the provider using your personal token 👉 https://quantum-computing.ibm.com/lab/docs/iql/manage/account/ibmq
## Experiments
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### Classification with classical SVM (Scikit-Learn)
Follow the instructions of the Jupyter Notebook 👉
Follow the instructions of the Jupyter Notebook 👉 experiments/Classic_SVM/Classic_SVM.ipynb
### Classification with QA-based QSVM (D-Wave QA)
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### Classification with Circuit-based QSVM (IBM Quantum Experience)
Follow the instructions of the Jupyter Notebook 👉
Follow the instructions of the Jupyter Notebook 👉 experiments/Circuit_SVM/Circuit_SVM.ipynb
## Support
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Supports Markdown
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