Sebastian is joined by Susanne Yelin, Professor of Physics in Residence at Harvard University and the University of Connecticut.
Susanne's Background:

• Fellow at the American Physical Society and Optica (formerly the American Optics Society)
• Background in theoretical AMO (Atomic, Molecular, and Optical) physics and quantum optics
• Transition to quantum machine learning and quantum computing applications

Quantum Machine Learning Challenges

• Limited to simulating small systems (6-10 qubits) due to lack of working quantum computers
• Barren plateau problem: the more quantum and entangled the system, the worse the problem
• Moved towards analog systems and away from universal quantum computers

Quantum Reservoir Computing

• Subclass of recurrent neural networks where connections between nodes are fixed
• Learning occurs through a filter function on the outputs
• Suitable for analog quantum systems like ensembles of atoms with interactions
• Advantages: redundancy in learning, quantum effects (interference, non-commuting bases, true randomness)
• Potential for fault tolerance and automatic error correction

Quantum Chemistry Application

• Goal: leverage classical chemistry knowledge and identify problems hard for classical computers
• Collaboration with quantum chemists Anna Krylov (USC) and Martin Head-Gordon (UC Berkeley)
• Focused on effective input-output between classical and quantum computers
• Simulating a biochemical catalyst molecule with high spin correlation using a combination of analog time evolution and logical gates
• Demonstrating higher fidelity simulation at low energy scales compared to classical methods

Future Directions

• Exploring fault-tolerant and robust approaches as an alternative to full error correction
• Optimizing pulses tailored for specific quantum chemistry calculations
• Investigating dynamics of chemical reactions
• Calculating potential energy surfaces for molecules
• Implementing multi-qubit analog ideas on the Rydberg atom array machine at Harvard
• Dr. Yelin's work combines the strengths of analog quantum systems and avoids some limitations of purely digital approaches, aiming to advance quantum chemistry simulations beyond current classical capabilities.

Welcome back to The New Quantum Era, the podcast where we explore the cutting-edge developments in quantum computing. In today’s episode, hosts Sebastian Hassinger and Kevin Rowe are joined by Dr. Julien Camirand Lemyre, the CEO and co-founder of Nord Quantique. Nord Quantique is a startup spun out from the University of Sherbrooke in Quebec, Canada, and is making significant strides in the field of quantum error correction using innovative superconducting qubit designs. In this conversation, Dr. Camirand Lemyre shares insights into their groundbreaking research and the innovative approaches they are taking to improve quantum computing systems.

Listeners can expect to learn about:

• Dr. Camirand Lemyre’s journey into quantum computing and the founding of Nord Quantique.
• The unique approach Nord Quantique is taking with Bosonic code qubits and how they differ from traditional fermionic qubits.
• The recent research paper by Nord Quantique that demonstrates autonomous quantum error correction, a significant step forward in the field.
• The potential impact of these advancements on reducing the overhead of error correction in quantum systems.
• Future directions and next steps for Nord Quantique, including further optimization and development of their quantum technology.

Highlights:

• Julien Camirand Lemyre’s Background: Dr. Camirand Lemyre shares his academic journey and how it led to the founding of Nord Quantique.
• Bosonic Qubits: An exploration of how Nord Quantique is leveraging Bosonic qubits for better quantum error correction.
• Autonomous Quantum Error Correction: Discussion on the recent research paper and its implications for the field of quantum computing.
• Technological Innovations: Insights into the specific technological advancements and controls Nord Quantique is developing.
• Future Plans: Dr. Camirand Lemyre shares what’s next for Nord Quantique and their ongoing research efforts.

Mentioned in this episode:

• Nord Quantique: Website
• University of Sherbrooke: Website
• Institut Quantique: Website
• Q-Ctrl: Website

Tune in to hear about these exciting developments and what they mean for the future of quantum computing!

Welcome to another episode of The New Quantum Era! Today, we have a fascinating conversation with Professor Jens Eisert, a veteran in the field of quantum information science. Jens takes us through his journey from his PhD days, delving into the role of entanglement in quantum computing and communication, to leading a team that bridges theoretical and practical aspects of quantum technology. In this episode, we explore the fine line between classical and quantum worlds, the potential and limitations of near-term quantum devices, and the role of theoretical frameworks in advancing quantum technologies. Here are some key highlights from our conversation:

• Theoretical Limits and Practical Applications: Jens discusses his team's work on establishing theoretical limits and guidelines for what can be achieved with current quantum hardware, focusing on both long-term and near-term goals.
• Benchmarking and Certification: The importance of randomized benchmarking techniques is highlighted, including their role in diagnosing and improving quantum devices. Jens elaborates on how these techniques can provide detailed diagnostic information and their limitations in scalability.
• Error Mitigation and Non-Unit Noise: Insights into the impact of non-unit noise on quantum circuits and the limitations of error mitigation techniques, particularly concerning their scalability.
• Quantum Simulation and Near-Term Devices: Jens shares his cautious optimism about the potential for near-term quantum devices to achieve practical applications, particularly in the field of quantum simulation.
• Innovative and Foundational Research: The conversation touches on Jens' interest in both pioneering new fields and concluding existing ones. He shares intriguing research on the emergence of temperature in quantum systems and its potential implications for quantum algorithms.

Welcome to The New Quantum Era podcast! In today’s episode, we dive deep into the fascinating world of quantum computing and the broader tech landscape with Anastasia Marchenkova, who has a unique blend of experiences in startups, academia, and venture capital. Join us as we explore the intersections of technology, business, and education, and uncover the challenges and opportunities that lie ahead in the quantum era.

Highlights from the Interview:

• Journey into Quantum Computing: Learn how our Anastasia's early experiences in quantum telecommunications and a serendipitous encounter with a startup led to a pivotal role at Rigetti Computing.
• Building and Scaling Startups: Insights into the startup ecosystem, including the importance of customer discovery, the challenges of scaling deep tech companies, and the role of non-dilutive funding from sources like DARPA.
• Interdisciplinary Innovations: Discover how principles from quantum computing are being applied to other cutting-edge fields like thermodynamic computing and AI, and the potential for cross-disciplinary breakthroughs.
• The Importance of Communication and Networking: Discussion on the critical role of communication skills in science and technology, and how building connections can drive innovation and collaboration.
• Future Vision and Education: Our guest’s ambitious plans for bridging the gap between deep tech and the broader public through educational initiatives and media, aiming to inspire the next generation of technologists and entrepreneurs.

Mentioned in This Episode:

• Rigetti Computing: A pioneering quantum computing startup.
• DARPA (Defense Advanced Research Projects Agency): A key source of non-dilutive funding for deep tech projects.
• Quantum Benchmark: A company specializing in error characterization and mitigation for quantum computing, acquired by Keysight Technologies.
• Thermodynamic Computing: An emerging field aimed at reducing energy consumption in AI, with notable contributions from researchers like Patrick Coles, who founded Normal Computing, and Guillaume Verdun, who recently founded Extropic.
• VC Lab: An incubator program for training emerging venture capitalists.

In this episode of The New Quantum Era, Kevin and Sebastian are joined by a special guest, Paul Cadden-Zemansky, Associate Professor of Physics at Bard College and Director of the Physics Program. Paul is also on the Executive Committee for the International Year of Quantum at the American Physical Society and has been actively involved in the UN’s recent declaration of 2025 as the International Year of Quantum Science and Technology. With the UN resolution now official, Paul joins us to discuss the significance and plans for this global celebration of quantum mechanics.

Listeners can expect an insightful conversation covering the following key points:

• The Significance of the International Year of Quantum Science and Technology: Paul explains the origins and importance of the UN’s declaration, marking the 100th anniversary of quantum mechanics and its impact over the past century.
• Global Collaboration and Outreach: Discussion on the international cooperation involved in getting the resolution passed, including the involvement of various scientific societies and countries, and the emphasis on public awareness and education.
• Challenges and Strategies for Quantum Communication: Paul shares his thoughts on the difficulties of communicating complex quantum concepts to the public and the strategies to make quantum mechanics more accessible and engaging.
• Future Plans and Initiatives: Insights into the plans for 2025, including potential events, educational resources, and how individuals and organizations can get involved in promoting quantum science.
• Innovations in Quantum Visualization: Paul’s work with students on new methods for visualizing complex quantum systems, including the development of tools to help understand two-qubit states.

Mentioned in this episode:

• UN Declaration of 2025 as the International Year of Quantum Science and Technology
• American Physical Society (APS)
• Quantum 2025 Website: quantum2025.org
• Paul’s Research Paper on Quantum Visualization on Arxiv
• Paul's web-based visualization tool

Join us as we delve into the exciting world of quantum mechanics and explore the plans for celebrating its centennial year!

In this episode of The New Quantum Era, host Sebastian Hassinger comes to you again from Rensselaer Polytechnic Institute, during their launch event in April 2024 for the deployment of an IBM System One quantum computer on their campus. RPI invited me to lead a panel discussion with members of their faculty and IT team, and provided a podcast studio for my use for the remainder of the week, where he recorded a series of interviews. In this episode Sebastian interviews Di Fang, an assistant professor of mathematics at Duke University and member of the Duke Quantum Center. They discuss Dr. Fang's research on the theoretical aspects of quantum computing and quantum simulation, the potential for quantum computers to demonstrate quantum advantage over classical computers, and the need to balance theory with practical applications. Key topics and takeaways from the conversation include:

- Dr. Fang's background as a mathematician and how taking a quantum computing class taught by Umesh Vazirani at UC Berkeley sparked her interest in the field of quantum information science
- The potential for quantum computers to directly simulate quantum systems like molecules, going beyond the approximations required by classical computation
- The importance of both proving theoretical bounds on quantum algorithms and working towards practical resource estimation and hardware implementation to demonstrate real quantum advantage
- The stages of development needed to go from purely theoretical quantum advantage to solving useful real-world problems, and the role of Google's quantum XPRIZE competition in motivating practical applications
- The long-term potential for quantum computing to have a disruptive impact like AI, but the risk of a "quantum winter" if practical results don't materialize, and the need for continued fundamental research by academics alongside industry efforts

In this episode of The New Quantum Era, we're diving deep into the intersection of quantum computing and chemistry with Jamie Garcia, Technical Program Director for Algorithms and Scientific Partnerships Group with IBM Quantum. Jamie brings a unique perspective, having transitioned from a background in chemistry to the forefront of quantum computing. At the heart of our discussion is the deployment of the IBM Quantum computer at RPI, marking a significant milestone as the first of its kind on a university campus. Jamie shares insights into the challenges and breakthroughs in using quantum computing to push the boundaries of computational chemistry, highlighting the potential to revolutionize how we approach complex chemical reactions and materials science.

Throughout the interview, Jamie discusses the evolution of quantum computing from a theoretical novelty to a practical tool in scientific research, particularly in chemistry. We explore the limitations of classical computational methods in chemistry, such as the reliance on approximations, and how quantum computing offers the promise of more accurate and efficient simulations. Jamie also delves into the concept of "utility" in quantum computing, illustrating how IBM's quantum computers are beginning to perform tasks that challenge classical computing capabilities. The conversation further touches on the significance of quantum computing in education and research, the integration of quantum systems with high-performance computing (HPC) centers, and the future of quantum computing in addressing complex problems in chemistry and beyond.

Jamie's homepage at IBM Research
How Quantum Computing Could Remake Chemistry, an article by Jamie Garcia in Scientific American

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. 

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.

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