From 0e360ce09ca0bbaf31b32d11588f7a98a77399d2 Mon Sep 17 00:00:00 2001 From: Amer Delilbasic <amer.delilbasic@studenti.unitn.it> Date: Tue, 10 Aug 2021 11:58:44 +0200 Subject: [PATCH] Update README.md --- README.md | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index e12264d..16ea375 100644 --- a/README.md +++ b/README.md @@ -20,17 +20,25 @@ Recent developments in Quantum Computing (QC) have paved the way for an enhancem ### D-Wave Leap -πEveryone can make a free account to run on the D-Wave Advantage quantum annealer: +π 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 π (https://www.dwavesys.com/take-leap +- Sign up on D-Wave Leap through π https://www.dwavesys.com/take-leap - Install Ocean Software with 'pip install dwave-ocean-sdk' π https://docs.ocean.dwavesys.com/en/latest/overview/install.html -- Configuring the D-Wave System as a Solver with 'dwave config create' π https://docs.ocean.dwavesys.com/en/stable/overview/sapi.html +- Configure the D-Wave System as a Solver with 'dwave config create' π https://docs.ocean.dwavesys.com/en/stable/overview/sapi.html + +- Check the available computing time for your account on the D-Wave Leap Dashboard π https://cloud.dwavesys.com/leap/login/ ### IBM Quantum Experience +π Everyone can make a free account to run on IBM quantum machines and simulators: + +- Sign up and login on IBM Quantum Experience through π https://quantum-computing.ibm.com/login + +- Install Qiskit with 'pip install qiskit' π https://qiskit.org/documentation/getting_started.html +- In a notebook, configure the provider using your personal token π https://quantum-computing.ibm.com/lab/docs/iql/manage/account/ibmq ## Experiments @@ -55,7 +63,7 @@ Test set: ### Classification with classical SVM (Scikit-Learn) -Follow the instructions of the Jupyter Notebook π +Follow the instructions of the Jupyter Notebook π experiments/Classic_SVM/Classic_SVM.ipynb ### Classification with QA-based QSVM (D-Wave QA) @@ -63,7 +71,7 @@ Follow the instructions of the Jupyter Notebook π experiments/QA_SVM/QA_SVM.i ### Classification with Circuit-based QSVM (IBM Quantum Experience) -Follow the instructions of the Jupyter Notebook π +Follow the instructions of the Jupyter Notebook π experiments/Circuit_SVM/Circuit_SVM.ipynb ## Support -- GitLab