Investing in the Quantum Frontier and the Road to Fault Tolerance with Barak Bussel
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Investing in the Quantum Frontier and the Road to Fault Tolerance with Barak Bussel

Summary

What does it take to invest in a quantum hardware company that has deliberately chosen not to pursue an intermediate product? Sebastian is joined by Barak Bussel – physicist, entrepreneur-turned-VC, co-founder of 7i Capital, and Board Chair of UCLA’s Center for Quantum Science and Engineering – operates at the intersection of frontier investing, scientific innovation, and ecosystem building. In this conversation, he explains how he underwrites the path to fault-tolerant quantum computing, what recent breakthroughs from Oratomic and Google Quantum AI suggest about the timeline to useful machines and the growing convergence of quantum and AI, and why the Bell Labs model may offer the best blueprint for building the next generation of science-driven technology ecosystems.
Barak Bussel is one of the few people operating simultaneously at three levels of the quantum stack: deploying private capital into hardware and software companies through 7i Capital, chairing the strategic board of a major university quantum center, and helping stand up the physical infrastructure — a 700,000 square foot research park on the site of the former Westside Pavilion — meant to convene academia, industry, national labs, and startups in one place. He is also a physicist by training, which changes the kind of diligence questions he asks.
We recorded this at the KPMG Tech and Innovation Symposium in Deer Valley, only weeks after the most consequential stretch of quantum news in years: Oratomic's $300M Series A (the largest first institutional round in quantum history, with 7i in the syndicate), a Google Quantum AI paper cutting Shor's algorithm resource estimates to around 500,000 physical qubits on superconducting hardware, and two June 2026 White House executive orders on quantum innovation and post-quantum cryptography. If you want to understand how a serious investor is actually pricing risk, timelines, and ecosystem-building in this moment, this is the conversation.
What We Get Into
  • Why 7i backed Oratomic's aggressive "no intermediate product, straight to fault tolerance" strategy, and how Barak thinks about betting on teams versus theses in deep tech
  • How recent architecture and QLDPC error correction advances have compressed physical-to-logical qubit ratios, and what that means for near-term resource estimates for Shor's algorithm
  • Why a lesser-noticed April 2026 Google Quantum AI paper on quantum-assisted memory reduction for classical AI workloads may matter as much as the Shor's-focused headlines
  • What "patient capital" actually looks like when a connector problem eats two years of a portfolio company's roadmap
  • The Bell Labs template as a serious operating model for the UCLA Research Park: convening academia, industry, government, and startups in a single physical footprint
  • The historical resonance of UCLA sending the first ARPANET packet in 1969 and what that suggests about where quantum networking work should be anchored
  • How Kedma's error mitigation work with IBM's Heron II and RIKEN pushed a 51-qubit Ising model simulation to the edge of what's classically tractable
  • How Barak reads the June 2026 executive orders and the federal role — enabling infrastructure rather than picking winners — against the scale of Chinese government funding
Resources & Links
Guest & Organizations
The Oratomic Round and Recent Breakthroughs
Policy and Market Context
UCLA Research Park and Regional Ecosystem
Key Quotes & Insights
  • On patient capital in hardware: "You're producing a new chip… all of a sudden a year and a half has passed." Barak's example of a photonics company that spent two years solving a flex connector problem is a useful ground truth for anyone modeling quantum hardware timelines.
  • On the role of universities: Industry has scale — the ability to throw 500 engineers at a problem. Academia brings "the quiet depth to think very deeply about a problem over an extended period of time, two or three generations ahead."
  • On resource estimates: The gap between the original 20-million-qubit Shor's estimates and the recent Google Quantum AI paper suggesting ~500,000 physical qubits on superconducting hardware, plus Oratomic's neutral-atom approach at the ten-thousand-qubit scale, represents a genuine compression of the fault-tolerance horizon.
  • On the underappreciated Google paper: An April 8 paper on using quantum processors to reduce memory requirements for massive classical data sets is, in Barak's view, the first rigorous demonstration that quantum could bend the exponential curve of AI compute demand.
  • On government's role: "Typically in the U.S., government is not the best at picking the winners and losers in the marketplace. But it's great at enabling." The El Segundo aerospace buildings, originally built by the federal government, are his template.
Related Episodes
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