The New Quantum Era  By  cover art

The New Quantum Era

By: Sebastian Hassinger & Kevin Rowney
  • Summary

  • Your hosts, Sebastian Hassinger and Kevin Rowney, interview brilliant research scientists, software developers, engineers and others actively exploring the possibilities of our new quantum era. We will cover topics in quantum computing, networking and sensing, focusing on hardware, algorithms and general theory. The show aims for accessibility - neither of us are physicists! - and we'll try to provide context for the terminology and glimpses at the fascinating history of this new field as it evolves in real time.
    (c) Sebastian Hassinger & Kevin Rowney 2024
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Episodes
  • Aspiring Quantum Chemist with Professor Lin Lin
    Apr 29 2024

    Sebastian interviews Professor Lin Lin during the System One ribbon cutting event at Rensselaer Polytechnic Institute in Troy, NY. Professor Lin Lin's journey from computational mathematics to quantum chemistry has been driven by his fascination with modeling nature through computation. As a student at Peking University, he was intrigued by the concept of first principles modeling, which aims to simulate chemical systems using minimal information such as atomic species and positions. Lin Lin pursued this interest during his PhD at Princeton University, working with mathematicians and chemists to develop better algorithms for density functional theory (DFT). DFT reformulates the high-dimensional quantum chemistry problem into a more tractable three-dimensional one, albeit with approximations. While DFT works well for about 95% of cases, it struggles with large systems and the remaining "strongly correlated" 5%. Lin Lin and his collaborators radically reformulated DFT to enable calculations on much larger systems, leading to his faculty position at UC Berkeley in 2014.

    In 2018, a watershed year marked by his tenure, Lin Lin decided to tackle the challenging 5% of strongly correlated quantum chemistry problems. Two emerging approaches showed promise: artificial intelligence (AI) and quantum computing. Both AI and quantum computing are well-suited for handling high-dimensional problems, albeit in fundamentally different ways. Lin Lin aimed to leverage both approaches, collaborating on the development of deep molecular dynamics using AI to efficiently parameterize interatomic potentials. On the quantum computing side, his group worked to reformulate quantum chemistry for quantum computers. Despite the challenges posed by the COVID-19 pandemic, Lin Lin and his collaborators have made significant strides in combining AI and quantum computing to push the boundaries of computational chemistry simulations, bridging the fields of mathematics, chemistry, AI, and quantum computing in an exciting new frontier.

    Thanks again to Professor Lin and everyone at RPI for hosting me and providing such an amazing opportunity to interview so many brilliant researchers.

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    43 mins
  • Quantum Education and Community Building with Olivia Lanes
    Apr 22 2024

    Sebastian is joined by Olivia Lanes, Global Lead for Education and Learning, IBM Quantum to discuss quantum education, IBM's efforts to provide resources for workforce development, the importance of diversity and equality in STEM, and her own personal journey from experimental physics to community building and content creation. Recorded on the RPI campus during the launch event of their IBM System One quantum computer.

    Key Topics:
    - Olivia's background in experimental quantum physics and transition to education at IBM Quantum
    - Lowering barriers to entry in quantum computing education through IBM's Quantum Experience platform, Qiskit open source framework, and online learning resources
    - The importance of reaching students early, especially women and people of color, to build a diverse quantum workforce pipeline
    - Quantum computing as an interdisciplinary field requiring expertise across physics, computer science, engineering, and other domains
    - The need to identify real-world problems and use cases that quantum computing can uniquely address
    - Balancing the hype around quantum computing's potential with setting realistic expectations
    - International collaboration and providing global access to quantum education and technologies
    - The unique opportunity of having an IBM quantum computer on the RPI campus to inspire students and enable cutting-edge research

    Resources Mentioned:
    - IBM Quantum learning platform
    - "Introduction to Classical and Quantum Computing" by Tom Wong
    - Qiskit YouTube channel

    In summary, this episode explores the current state of quantum computing education, the importance of making it accessible to a broad and diverse group of students from an early age, and how academia and industry can partner to build the quantum workforce of the future. Olivia provides an insider's perspective on IBM Quantum's efforts in this space.

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    36 mins
  • LIVE! On campus quantum computing with Rensselaer Polytechnic Institute
    Apr 17 2024

    For this episode, Sebastian is on his own, as Kevin is taking a break. Sebastian accepted a gracious invite to the ribbon cutting event at Rensselaer Polytechnic Institute in Troy, NY, where the university was launching their on-campus IBM System One -- the first commercial quantum computer on a university campus!
    This week, the episode is a recording a live event hosted by Sebastian. The panel of RPI faculty and staff talk about their decision to deploy a quantum computer in their own computing center -- a former chapel from the 1930s! - what they hope the RPI community will do with the device, and the role of academic partnership with private industry at this stage of the development of the technology.
    Joining Sebastian on the panel were:

    • James Hendler, Professor and Director of Future of Computing Institute
    • Jackie Stampalia, Director, Client Information Services, DotCIO
    • Osama Raisuddin, Research Scientist, RPI
    • Lucy Zhang, Professor, Mechanical, Aerospace, and Nuclear Engineering
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    58 mins

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