How To Tackle IBM's Quantum Open Science Prize

A brief overview of quantum error mitigation methods

Do you want to get started with Quantum Machine Learning? Have a look at Hands-On Quantum Machine Learning With Python.

IBM announced its second Quantum Open Science Prize. They ask for a solution to a quantum simulation problem. They want us to simulate a Heisenberg model Hamiltonian for a three-particle system on their 7-qubit Jakarta system using Trotterization.

It is your chance to see whether a career in quantum computing is the right thing for you — without the struggle of completing a physics study first.

But, of course, it isn't easy to understand the material without a relevant degree. Therefore I have made it my goal to guide you through the challenge. In the series of previous posts, we set up our Jupyter development environment, ran the code locally, learned how to run an algorithm on a real quantum device, and concluded that the actual challenge is not to simulate the Heisenberg model Hamiltonian but to implement appropriate quantum error mitigation.

Unfortunately, we can't simply plug in a quantum error mitigation method, and we're done.

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But, error mitigation methods build upon particular algorithm characteristics to be improved. So, the…