by Yuval Boger
Yuval Boger, Chief Commercial Officer at QuEra, hosts thought leaders in quantum computing, quantum sensing, and quantum communications to discuss business and technical aspects that impact the quantum ecosystem. Full transcripts are available at podcast.yboger.com
Language
🇺🇲
Publishing Since
9/12/2022
Email Addresses
1 available
Phone Numbers
0 available
April 7, 2025
<p>Maud Vinet, CEO and co-founder of Quobly, is interviewed by Yuval Boger. They discuss the company’s mission to build large-scale quantum computers based on silicon qubits. Maud explains how silicon offers unique advantages in scalability, leveraging decades of semiconductor expertise, and why the biggest challenge lies in qubit control rather than fabrication yield. Maud shares insights on her transition from semiconductor R&D to quantum computing, the partnerships Quobly has formed with fabs like STMicroelectronics, the anticipated timeline for achieving significant qubit counts, and much more.</p>
March 24, 2025
<p>David Rivas, Chief Technology Officer at Rigetti Computing, is interviewed by Yuval Boger. They discuss Rigetti’s approach to building superconducting quantum computers. David highlights the company’s full-stack capabilities, including its captive quantum fab and proprietary control systems, emphasizing the advantages of vertical integration for optimizing performance. He explains Rigetti’s chiplet-based approach to scaling quantum processors, their strategy for achieving large-scale, fault-tolerant quantum computing. They also cover the evolution of quantum computing architectures, Rigetti’s move to 3D signaling, and the role of logical qubits in scaling quantum processors, the importance of continued hands-on experimentation, the challenges of being a public company, and much more.</p>
March 10, 2025
<p>Daniel Porat and Prof. Emanuele Dalla-Torre of Quantymize are interviewed by Yuval Boger. They discuss their work in quantum optimization and hybrid quantum-classical algorithms. Daniel describes how the company focuses on real-world optimization problems in industries like energy, e-commerce, and scheduling, leveraging quantum computing to enhance efficiency. Emanuele describes the company’s core algorithm, called Efficient Correlated Optimization, which significantly reduces qubit requirements for solving complex combinatorial problems. They also cover the evolving quantum landscape in Israel, the potential for commercial quantum advantage today, the balance between publishing research and maintaining competitive business strategies, and much more.</p>
InsideQuantumTechnology.com
Protiviti
Entangled Things
Oxide Computer Company
Sean Carroll | Wondery
Physics World
The New York Times
Machine Learning Street Talk (MLST)
Steven Strogatz, Janna Levin and Quanta Magazine
Lex Fridman
Sebastian Hassinger
The Jim Rutt Show
an MCJ podcast
Quanta Magazine
Changelog Media
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at [email protected] for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.