Quantum Engineering

Executing Microsoft Quantum Topological Dataset Notebooks

Microsoft recently released its Topological Quantum Computing dataset for anyone to try out. This post describes how to do so.

As shown in this article, you can create an Azure Quantum Workspace and within its Notebooks tab, visit the available notebooks under Topological Quantum Computing.

There are three notebooks available to review:

  • Analysis of device data from preprint paper
  • First stage of topological gap protocol
  • Second stage of topological gap protocol

To view and run a notebook:

  1. In your new workspace, select Notebooks and then select Topological quantum computing.
  2. Select your desired notebook, and select Copy to my notebooks.Copy sample notebook.

Once you open your Azure Quantum Workspace, Select Topological Quantum Computing. Copy each into your notebooks, which is the third item among your listed Jupyter Notebooks.

Opening each starts a new Jupyter Server instance within your Azure Quantum Workspace. Study it, then click run all.

Each notebook should execute within a few minutes and populate the cells with results – data or graphics.

In case you want to see the outputs you can read this paper which contains all the graphics that are generated using these three notebooks. Below is a Zipfile containing execution results from Pivotport Quantum Workspace if you wish to examine them in your own Jupyter Server.

Quantum Engineering

Pivotport granted $10K in Azure Quantum Credits for IonQ Aria

Microsoft Azure Quantum Group has granted use of $10K worth of Azure Quantum Credits for Aria, the IonQ Quantum Computer available on Azure as of today.

This is in addition to the prior grant of a similar amount of credits for Harmony by IonQ during September 2021.

We will continue to pilot the Quantum Cardiac Detector software using these credits towards QPU driven processing of ECG signals.

Quantum Engineering

Pivotport, Inc. presented at the ISQCMC

Pivotport, Inc. CEO Rajiv Mistry and his Purdue University classmate, Jonathan Ortega presented at the first International Symposium for Quantum Computing in Musical Creativity , hosted online by University of Plymouth (UK) on 11/19-20/2021.

The topic covered discussion of the strategy, approach and results of a Quantum Algorithms and Software project titled:
Quantum Frequency Detector for Audio Files

This is based on the project completed by Rajiv Mistry, Jonathan Ortega and John Kye during their coursework at Purdue towards their Micromasters in Quantum Technology: Detectors and Networking during Q1-Q2 of 2021.

The below results files in PDF format are available for session attendees:

Simulated Results for Quantum Frequency detector

Real Device Results for Quantum Frequency Detector

Example Jupyter Notebooks for QISKIT and CIRQ

Example QFT Circuit – click to view animation.