Yuval Boger interviews Tom Darras, CEO and co-founder of Welinq. They discuss how quantum networking uses shared entanglement to interconnect quantum processors, enabling modular scale-out clusters and quantum-safe connectivity between data centers. Tom explains the technical building blocks—qubit-photon interfaces, optical networks, entangled photon sources, and especially quantum memories—as well as the performance metrics that matter most, like entanglement generation rate, fidelity, and memory lifetime. They also cover Welinq’s Arachne compiler for distributing circuits across multiple QPUs, why networking is becoming a consensus scaling strategy across modalities, and how “quantum-augmented data centers” are starting to become real initiatives.

Yuval Boger interviews Bob Sorensen of Hyperion Research about the growing convergence of quantum computing and high-performance computing. They outline a problem-first adoption playbook for HPC centers: identify bottlenecks, benchmark classical options and costs, then evaluate quantum as an accelerator with clear ROI and procurement targets. Sorensen weighs cloud versus on‑prem tradeoffs, argues quantum hardware needs short lifecycles with upgrade paths, and explains why HPC managers mainly worry about seamless integration. They close with practical definitions of quantum advantage (speed, capability, and power), real-world case studies, and why error-correction-driven architecture is increasingly shaping modality decisions.

Yuval Boger interviews Christian Weedbrook, founder and CEO of Xanadu. They discuss Xanadu’s photonic approach to gate-based quantum computing, the advantages of room-temperature operation, and the company’s plan to scale through optical networking. Christian also describes PennyLane, photonic error correction, customer engagements, and Xanadu’s target of building a 500-logical-qubit system by 2029–2030. The conversation also touches on partnerships, manufacturing, likely early applications in chemistry and materials, and much more.

Yuval Boger interviews computer science professor known for his work on quantum computing theory. They explore the current state of quantum hardware, the narrowing case for quantum skepticism, and the realistic path toward fault-tolerant, useful quantum machines. The conversation also covers quantum algorithms, cryptography risks, ethics, hype in commercialization, and advice for the next generation of quantum researchers.

Joab Rosenberg, partner at Deep33, a new $100–150M venture fund focused on the future of compute, is interviewed by Yuval Boger. They discuss the current state of quantum computing, why Joab expects commercial applications within a few years, and where venture capital can realistically capture value. The conversation covers hardware-first investing, quantum algorithms and applications, capital intensity, geopolitics, and the growing role of deep tech in venture investing.

Vishal Chatrath, CEO and co-founder of QuantrolOx, a quantum control software company focused on automating qubit tuning and calibration, is interviewed by Yuval Boger. They discuss how automation accelerates chip characterization, supports scalable manufacturing, and feeds into real-time calibration and error correction. The conversation covers competition in quantum control, open architectures, fundraising challenges, and what it takes to industrialize quantum hardware.

Yuval Boger interviews Zach Yerushalmi, CEO of Elevate Quantum and leader of the U.S. Quantum Tech Hub. They discuss how to accelerate quantum commercialization through industry-led ecosystems, targeted public–private partnerships, and clear prioritization across research, industry, and market failures. Zach draws parallels to semiconductors and biotech, emphasizing demand signals, advanced market commitments, and cycle time as key success metrics. The conversation highlights the high geopolitical stakes of quantum and the urgency for the U.S. to execute its industrial strategy correctly.

Jonathan Reiner is interviewed by Yuval Boger and describes his path from condensed-matter physics to leading the Product Solutions team at Quantum Machines. They discuss the rising complexity of quantum control, customer trends toward fidelity, low-latency compute, and automated calibration, as well as QM’s products such as QUA, Qualibrate, and OPX-NIC for error-correction workflows. Jonathan shares insights on scaling control electronics, the skills needed to operate quantum computers, and his preference for spin qubits. The conversation concludes with a discussion of IP protection practices.