Connecting To The Next Frontier Of Computing With Quantum Networks
Data Engineering Podcast
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Quantum Networking - The Future Is Here, Right?
Data fold built automated regression testing to help data and analytics engineers deal with data quality in their pull requests. Data fold shows how a change in sequel code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. No more shipping and praying. You can now know exact what will change in your data base. Visit data engineering podcast dot com.
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Summary
The next paradigm shift in computing is coming in the form of quantum technologies. Quantum procesors have gained significant attention for their speed and computational power. The next frontier is in quantum networking for highly secure communications and the ability to distribute across quantum processing units without costly translation between quantum and classical systems. In this episode Prineha Narang, co-founder and CTO of Aliro, explains how these systems work, the capabilities that they can offer, and how you can start preparing for a post-quantum future for your data systems.
Announcements
- Hello and welcome to the Data Engineering Podcast, the show about modern data management
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- Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. By the time errors have made their way into production, it’s often too late and damage is done. Datafold built automated regression testing to help data and analytics engineers deal with data quality in their pull requests. Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. No more shipping and praying, you can now know exactly what will change in your database! Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.
- Your host is Tobias Macey and today I’m interviewing Dr. Prineha Narang about her work at Aliro building quantum networking technologies and how it impacts the capabilities of data systems
Interview
- Introduction
- How did you get involved in the area of data management?
- Can you describe what Aliro is and the story behind it?
- What are the use cases that you are focused on?
- What is the impact of quantum networks on distributed systems design? (what limitations does it remove?)
- What are the failure modes of quantum networks?
- How do they differ from classical networks?
- How can network technologies bridge between classical and quantum connections and where do those transitions happen?
- What are the latency/bandwidth capacities of quantum networks?
- How does it influence the network protocols used during those communications?
- How much error correction is necessary during the quantum communication stages of network transfers?
- How does quantum computing technology change the landscape for AI technologies?
- How does that impact the work of data engineers who are building the systems that power the data feeds for those models?
- What are the most interesting, innovative, or unexpected ways that you have seen quantum technologies used for data systems?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on Aliro and your academic research?
- When are quantum technologies the wrong choice?
- What do you have planned for the future of Aliro and your research efforts?
Contact Info
Parting Question
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
Links
- Aliro Quantum
- Harvard University
- CalTech
- Quantum Computing
- Quantum Repeater
- ARPANet
- Trapped Ion Quantum Computer
- Photonic Computing
- SDN == Software Defined Networking
- QPU == Quantum Processing Unit
- IEEE
The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA
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