Quantcast – a Risk.net Cutting Edge podcast Dario Villani and Kharen Musaelian, 19/06/2025
Jun 24, 2025
Dario Villani, Co-founder and CEO of Duality Group, and Kharen Musaelian, Co-founder and CIO, share insights from their pioneering work in quantum cognition machine learning (QCML). They discuss the game-changing impact of integrating quantum theory into finance, emphasizing how QCML can improve predictions with noisy data. The duo dives into the complexities of statistical learning and the contrasting views of uncertainty in classical versus quantum frameworks. They also explore advancements in healthcare and the pressing need for regulation as AI and quantum technologies evolve.
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QCML Overcomes Dimensionality Curse
- Quantum cognition machine learning (QCML) models data uncertainty differently than classical ML by embracing coherence over correlation.
- This allows QCML to overcome the curse of dimensionality and handle a large feature space without exponential data growth.
QCML Blurs Irrelevant Features
- QCML integrates many features, including missing or uninformative ones, by blurring irrelevant features depending on the perspective.
- This quantum perspective-dependent uncertainty allows richer feature handling than classical ML's feature blocking.
QCML Encodes Data with Quantum States
- QCML encodes data as quantum states with variables as noncommutative matrices representing unique perspectives.
- This lets QCML manage large data dimensionality linearly while classical ML grows exponentially requiring vast data.