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Renaissance Technologies generated 66% annual returns for 30+ years by being first to apply machine learning to markets. The next frontier is quantum. At unDavos 2026, Qubitra Technologies launched with backing from SC Ventures and Fujitsu — applying tensor networks from quantum physics to find patterns in financial data that classical methods simply cannot see.
WHAT THIS PANEL COVERS
- How quantum-inspired algorithms running on classical hardware today can deliver measurable alpha in hedge fund trading
- Why even a moderate improvement in computation speed produces disproportionate returns in financial markets
- How fraud detection stands to improve by orders of magnitude, not marginal percentages, through quantum approaches
- Why the “harvest now, decrypt later” threat means financial institutions must act on post-quantum cryptography immediately
- How collaborative innovation between hardware providers, banks, and startups is accelerating quantum adoption in finance
PANELISTS
• Dan Wynne — Co-Founder & CEO, Qubitra (Moderator)
• Steve Suarez — CEO, HorizonX
• Alex Manson — CEO, SC Ventures
• Robin Slakhorst — Partner, We-Trust Capital Management
• Vishal Shete — Co-Founder & CEO, Qubitra
unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.
Tags: quantum finance, quantum computing, fintech, quantum-inspired computing, tensor networks, hedge fund technology, algorithmic trading, SC Ventures, Fujitsu, fraud detection, post-quantum cryptography, financial innovation, quantum applications, open banking, collaborative innovation, unDavos, Davos 2026, WEF, deep tech, Qubitra
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