Electrons on Superfluid Helium with Nick Farina
Nick Farina discusses EeroQ's electrons-on-helium qubit platform and recent breakthroughs in quantum control and cavity-QED readout.
the podcast
Tune in to weekly episodes with Sebastian Hassinger as he interviews the industry's top leaders that are forging the most promising technologies, strategies, and ideas of our time.

enter through the looking glass
Quantum technology is entering a new era. The first fault-tolerant quantum computers are on the horizon, and with them, a computing paradigm unlike anything that came before. The New Quantum Era podcast cuts through the hype to bring you the real story — through long-form conversations with the physicists, engineers, and builders doing the work.
Host Sebastian Hassinger combines a decade in the quantum industry with a belief that this technology should be developed openly and for the benefit of everyone. NQE is growing beyond the podcast into science communication, documentary film, and efforts to build a more accessible and equitable quantum future.
Nick Farina discusses EeroQ's electrons-on-helium qubit platform and recent breakthroughs in quantum control and cavity-QED readout.
Sabrina Maniscalco discusses how her academic expertise in quantum systems enabled Algorithmiq to win the Wellcome Leap Q4Bio prize and develop practical quantum drug discovery applications before fault-tolerant quantum computers arrive.
Firgun Ventures' founders discuss their $70M fund filling the Series A/B financing gap for quantum startups globally, drawing on their deep tech expertise and early quantum investments.
Yuval Boger, commercial lead at QuEra, discusses his new quantum computing comic book and compares explanatory strategies with Sebastian on neutral-atom hardware timelines and commercialization realities.
Matthias Christandl extends quantum fault tolerance beyond classical inputs and outputs to enable distributed quantum computing with direct quantum information exchange between noisy machines.
Philosopher Elise Crull discusses how quantum mechanics' interpretive questions have become practical engineering problems with real budget consequences in quantum computing development.
Niels Bultink discusses how Qblox's quantum control stack has become essential infrastructure for scaling quantum computers toward practical applications.
Izhar Medalsy discusses hardware-faithful digital twins for quantum computing, bridging the simulation gap between theoretical error correction strategies and real quantum hardware.
Physicist Ivan Deutsch challenges the quantum computing field's foundational choice to use two-level qubits, suggesting neutral-atom systems should exploit atoms' many energy levels for potentially superior computing approaches.
Garnet Chan, a leading computational chemist, challenges quantum computing's claims about solving the FeMo-cofactor problem, showing classical methods remain more capable than the field has admitted.
Will Zeng and Ziyaad Bhorat discuss how open source quantum software faces a critical funding gap that philanthropic organizations must address before quantum hardware capabilities outpace software development.
Arnab Banerjee discusses using quantum computers to simulate quantum materials, demonstrating how 50 qubits reproduced experimental spectroscopic data for KCuF3.
Theorist Dominik Hangleiter examines whether quantum advantage has truly been achieved and explains why the physics community remains divided on quantum computing's milestones.
Matthijs Rijlaarsdam of QuantWare discusses how 3D vertical chip architecture could scale quantum processors to 10,000 qubits by treating quantum hardware like semiconductors.
IBM quantum researcher Brian Gaucher explains how engineering challenges, not physics, are the critical bottleneck preventing quantum computing from transitioning to scalable real-world applications.
David Reilly and Tom Ohki discuss building the infrastructure ecosystem for scalable quantum computing through Emergence Quantum's cryo-CMOS technology and systems-level engineering approach.
Harley Johnson discusses building the world's largest quantum technology park in Illinois, transforming a former steel mill into a hub for scaling quantum computing through federal funding, research institutions, and diverse industry partnerships.
Researchers at Iceberg Quantum reduced qubits needed to break RSA encryption from over one million to around 100,000 using QLDPC error correction codes.
Evan Kubes built The Quantum Insider, a leading quantum media platform, without a physics background by translating complex technology for mainstream audiences.
Martin Laforest, a physicist-turned-VC at Quantacet, discusses how Quebec built a $400M quantum ecosystem and why quantum computing requires both scientific and engineering expertise.
Theoretical physicist Joachim Keppler proposes consciousness emerges from the brain's quantum coupling to the electromagnetic zero-point field via glutamate, offering a testable physics-based model of consciousness.
Nadya Mason, dean of UChicago's quantum engineering school, discusses her non-linear path to leadership and building a diverse quantum workforce through community-driven ecosystem development.
Alumni Ventures managing partner Chris Sklarin discusses the firm's approach to democratizing quantum venture investing for individual accredited investors through co-investment and syndicate models.
Alejandra Castillo discusses how regional coalitions can leverage quantum technologies for inclusive economic development and workforce opportunity across the Midwest.
Chetan Nayak discusses Microsoft's topological quantum computing approach using Majorana fermions to create error-resistant qubits.
Hrant Gharibyan, CEO of BlueQubit, discusses peaked quantum circuits as a scalable method for verifying quantum advantage on real hardware.

Quantum Brilliance co-founders discuss diamond nitrogen vacancy centers as a scalable, room-temperature platform for quantum computing and sensing applications.
Nobel laureate John Martinis discusses the evolution of superconducting quantum circuits from macroscopic quantum tunneling discoveries to building manufacturable, wafer-scale qubit processors.

AQT CEO Thomas Monz discusses how trapped-ion quantum computing is transitioning from academic research to practical cloud-accessible systems for real-world applications.
Dr. Javad Shabani, NYU physics professor, discusses quantum materials, nano-fabrication, and topological qubits in semiconductor-superconductor hybrid systems.
Vijoy Pandey discusses Cisco's vision for quantum networking as near-term infrastructure solving real problems today through distributed quantum computing and entanglement-based protocols.

Nobel Laureate John Martinis discusses QoLab's strategy for building scalable million-qubit superconducting systems through semiconductor collaboration and innovative technological approaches.
Pierre Desjardins, cofounder of C12 Quantum Computing, discusses carbon nanotube spin qubits as a scalable alternative to traditional semiconductor-based quantum hardware.
Dr. Eli Levenson-Falk discusses his breakthrough quantum measurement protocol that surpasses the Ramsey limit, enabling more sensitive and faster quantum sensing for superconducting devices.
Mohammad Mirhosseini describes a mechanical quantum memory that stores microwave photons far longer than superconducting qubits, advancing hybrid quantum computing architectures.
Xiaodi Wu, a University of Maryland computer scientist, presents SimuQ, a quantum programming language that abstracts Hamiltonian evolution for improved quantum software usability.
Alexandre Blais, a quantum physics professor and scientific director of Institut Quantique, discusses developing circuit QED technology and building bridges between academic quantum research and industry commercialization.
Bert de Jong, Director of the Quantum Systems Accelerator at Lawrence Berkeley National Lab, discusses his transition from classical computing to quantum research and the multimodal approach driving the U.S. National Quantum Initiative toward quantum advantage.

Deeya Viradia, a Gen Z researcher, shares her quantum computing journey from inspiration through diverse research experiences and advocates for interdisciplinary learning and commercialization opportunities.

Andrew Dzurak, CEO of Diraq, discusses silicon spin qubits as a scalable quantum computing approach leveraging standard CMOS manufacturing.
Dr. Charlotte Bøttcher discusses hybrid quantum materials combining superconductors and semiconductors for advancing quantum computing, sensing, and fundamental physics research.
Dr. Mark Saffman discusses neutral atom quantum computing using Rydberg arrays, covering scalability, error correction, and the future of atomic qubit platforms.

Dr. Liang Jiang discusses breakthroughs in quantum error correction theory and hardware implementation across multiple platforms, from surface codes to bosonic approaches.
Dr. Yvonne Gao discusses using quantum cavities and single qubits to explore superposition and entanglement through accessible experimental techniques.
Andrew Houck discusses quantum co-design strategies and interdisciplinary approaches to advancing coherence, materials science, and scalable architectures beyond the NISQ era.
Dr. Emily Edwards discusses strategies for making quantum science education more accessible through the Q12 initiative, addressing challenges from misconceptions to leveraging technology and science communication.
Daniel Lidar discusses quantum noise suppression techniques and error correction methods advancing practical quantum computing applications.
James Wootton, Chief Science Officer at Moth Quantum, discusses quantum computing's innovative applications in creative fields like gaming, art, and music generation.
Dr. Anna Grassellino, director of Fermilab's Superconducting Quantum Materials and Systems Center, discusses advancing quantum computing and sensing through superconducting materials innovations.
Yonatan Cohen, CTO of Quantum Machines, discusses quantum control scaling, classical-quantum integration, and AI-driven calibration advancements.
John Martinis' startup QoLab emerges from stealth with a strategic plan to build scalable million-qubit superconducting systems through semiconductor collaboration.
John Preskill and Rob Schoelkopf discuss the megaquop era of quantum computing, exploring quantum error correction, superconducting qubits, and the path toward million-operation quantum systems.
Yale physicist Steve Girvin explores quantum memory's critical role in quantum computing, discussing coherence challenges, QRAM architecture, and error resilience.
MIT Professor Will Oliver discusses fluxonium qubits' superior fidelity and scalability advantages over traditional transmon qubits for quantum computing.
Zoe Holmes explores quantum imaginary time evolution and variational algorithms for optimizing near-term quantum computers.
García-Pérez and Weinberg discuss their companies' collaboration on dual-rail qubits and informationally complete measurements to advance quantum algorithms for chemistry applications.
Alán Aspuru-Guzik discusses the evolution from Variational Quantum Eigensolver to Generative Quantum Eigensolver, advancing quantum-classical hybrid computing.
Dr. Robert Schoelkopf discusses dual-rail superconducting qubits and their potential to improve quantum error correction and scalability.
Martin Schultz discusses integrating quantum and classical supercomputers through Munich Quantum Valley's hybrid infrastructure development at LRZ.
Dr. Toby Cubitt discusses Phasecraft's innovative near-term quantum algorithms designed to bridge theoretical advances with practical, commercially viable applications on current quantum hardware.
Jessica Pointing discusses the challenges of quantum neural networks, exploring the tradeoff between inductive bias and expressivity in quantum machine learning.
Susanne Yelin discusses quantum reservoir computing as a promising approach to quantum machine learning that leverages analog quantum systems for simulating quantum chemistry problems.
Dr. Julien Camirand Lemyre, CEO of Nord Quantique, discusses bosonic quantum error correction and autonomous error correction innovations for superconducting qubits.
Professor Jens Eisert discusses quantum benchmarking techniques, theoretical limits of near-term quantum devices, and the role of error mitigation in advancing practical quantum technologies.
Anastasia Marchenkova discusses her diverse career spanning quantum computing startups, academia, and venture capital, exploring opportunities and challenges in the quantum era.

Paul Cadden-Zimansky discusses the UN's declaration of 2025 as the International Year of Quantum Science and Technology and global initiatives to promote quantum education and outreach.

Di Fang discusses theoretical quantum computing research and the path from quantum advantage theory to practical applications that could solve real-world problems.

Jamie Garcia discusses how IBM's quantum computers are revolutionizing computational chemistry by overcoming classical computing limitations and advancing practical quantum utility in scientific research.
Professor Lin Lin discusses his evolution from computational mathematics to quantum chemistry, focusing on using AI and quantum computing to solve complex molecular simulations.
Olivia Lanes, IBM Quantum's Global Lead for Education, discusses making quantum computing accessible through educational resources and workforce development while emphasizing diversity in STEM.

Rensselaer Polytechnic Institute unveils IBM's first commercial quantum computer on a university campus, with faculty discussing research opportunities and industry partnerships.
Martin Savage discusses using quantum computers to simulate high energy physics and quantum chromodynamics, advancing nuclear particle research beyond classical computing limitations.
UC San Diego Professor Yufei Ding discusses modular quantum system architectures and how AI could transform quantum computing development.

Dr. Houlong Zhuang discusses using quantum computing and machine learning to simulate and discover new high entropy alloy materials more efficiently than classical methods.

Kevin and Sebastian review 2023's quantum computing trends, highlighting waning private sector enthusiasm, increased public investment, and the industry shift from NISQ to logical qubits.
Dr. Vladan Vuletic discusses his team's breakthrough creation of 48 logical qubits using reconfigurable atom arrays, marking a major advance in quantum error correction.
Quantum physicist and VC Chiara Decaroli discusses trapped ion technology, quantum computing challenges, and the expertise required for investing in early-stage quantum startups.
Dr. Ieva Čepaitė explores adiabatic and counterdiabatic quantum computing methods and their potential to optimize quantum algorithms and hardware implementation.
Dr. Cassandra Grenade discusses Quantum Intermediate Representation, a tool that simplifies quantum software development by allowing multiple programming languages to interface with diverse quantum hardware architectures.
Misty Wahl from Unitary Fund discusses quantum error mitigation strategies and the Mitiq open-source framework for reducing noise in quantum computers.

Alex Keesling of QuEra Computing discusses neutral atom arrays for quantum simulation and computation, explaining the physics and potential of their 256-qubit Aquila device.
Daniel Stick from Sandia National Lab discusses microfabricated ion trap qubits and the Enchilada trap, exploring advantages and scalability of trapped ion quantum computing architecture.
Dr. Dana Anderson, Chief Strategy Officer of Infleqtion, discusses quantum computation, sensing, and simulation technologies using ultracold neutral atoms and their future applications.
John Preskill discusses quantum computing's role in understanding black holes, quantum matter, and fundamental physics through error correction and machine learning applications.

Dr. Harry Buhrman discusses hybrid quantum-classical architectures and efficient state preparation methods using shallow quantum circuits with feed-forward mechanisms.
Professor Leo Kouwenhoven discusses his groundbreaking research on Majorana particles and topological qubits in quantum computing development.
Scott Aaronson, a leading quantum computing authority, discusses his journey from complexity theory to quantum supremacy and his current work explaining AI concepts.
Dorit Aharonov discusses quantum error correction thresholds, fault tolerance timelines, and the theoretical foundations enabling practical quantum computing.

Dartmouth professor James Whitfield discusses quantum chemistry applications, entanglement concepts, and quantum information science education for the quantum computing era.
Joe Fitzsimons discusses Horizon Quantum Computing's compiler tools designed to maximize performance gains from future quantum devices.
Joe Fitzsimons, CEO of Horizon Quantum Computing, discusses his optimistic outlook on quantum computing's future potential and development.
AWS quantum researcher Grant Salton explains Google's controversial wormhole simulation and the "it from qubit" framework connecting quantum information to astrophysics.

Nathalie DeLeon discusses how material science innovations, particularly diamond-based color centers, are advancing quantum qubit development and fault tolerance.
Steve Girvin, Yale physics professor and superconducting qubit pioneer, discusses the transmon and the history of quantum computing breakthroughs.
James Wootton discusses quantum error correction theory, practical applications in games, and recent experimental advances in making quantum computing more accessible to hobbyists.
David Mazziotti, a University of Chicago physicist, discusses quantum computing applications in molecular and subatomic physics research.
Cesar Rodriguez Rosario, Chief Scientific Officer at Strangeworks, discusses quantum computing's developmental parallels to classical computing's transistor era with informed skepticism.
Nick Bronn discusses foundational quantum computing concepts, including transmon qubits, the DiVincenzo criteria, and emerging techniques like Majorana braiding and variational algorithms.
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