Solutions to Part 1 of this challenge can be found in the folder Part1.
- Task 1. Implementing a quantum oracle (Q#)
- Task 2. Submitting Azure Quantum jobs from Q# Jupyter Notebooks (Q# + IonQ simulator)
- Task 3. Submitting Azure Quantum jobs from Python Jupyter Notebooks (Qiskit + Quantinuum emulator)
For part 2, we have implemented the Variational Quantum Thermalizer(VQT) and noise-induced VQT for 3 qubit Sherrington Kirkpatrick (SK) model of spin glass. We try to reach the thermal state of the SK model for temperature=1
VQT for 3 qubit SK model can be found in the folder Part2 in the file 3qubitSK_Model_VQT.ipynb
A noise-induced VQT for 3 qubit SK model can be found in the folder Part2 in the file Noisy3qubitSK_Model_VQT.ipynb
We have written a blog post elucidating our project. The blog post can be found here: https://legacyftw.github.io/blog/vqt/vqt.md/
Target state Expectation Value: (-0.5033432861349194+0j)
Entropy: (1.898337128267965-0j)
Final Cost: (-2.4016804144028843+0j)
VQT results
Final Entropy: 1.950094553660756
Final Expectation Value: -0.3376905843085512
Final Cost: -2.287785137969307
Noise induced VQT results
Final Entropy: 1.950102534136878
Final Expectation Value: -0.33768274199267745
Final Cost: -2.2877852761295556
