XanaduAI / QHack2021

Official repo for QHack—the quantum machine learning hackathon
https://qhack.ai
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[ENTRY] Variational Quantum State Tomography #62

Open lezav opened 3 years ago

lezav commented 3 years ago

Team Name:

Quantum Legion

Project Description:

Variational methods have a wide range of application in optimization and machine learning. However, they can also be used to study quantum computers. Currently, we are in an era where quantum computers present a large amount of noise due to the low number of qubits (<100) and the low fidelity of the gates. In this era, known as the noisy intermediate-scale quantum (NISQ), characterizing how quantum devices work is critical. One way to achieve this is through quantum tomography. This consists of protocols that allow obtaining the quantum state of a physical system, which can be a prior unknown. In this work we will implement a variational tomographic method for pure quantum states, based on this paper of Christopher Ferrie. In every iteration of the protocol a "guess" state approaches the state of some system using the result of two measurements in the system.

Presentation:

A jupyter notebook

Source code:

https://github.com/lezav/variational_quantum_state_tomography

co9olguy commented 3 years ago

Thanks for the submission! We hope you have enjoyed participating in QHack :smiley:

We will be assessing the entries and contacting the winners separately. Winners will be publicly announced sometime in the next month.

We will also be freezing the GitHub repo as we sort through the submitted projects, so you will not be able to update this submission.