Quantum Computing Challenges in Finance with Oswaldo Zapata, PhD

Part 2 explores the technical hurdles shaping quantum computing's readiness for financial applications. Oswaldo Zapata, PhD and host Lotta Moberg, CFA, PhD discuss qubit quality, error rates, and why today's devices remain in the "noisy intermediate‑scale quantum" (NISQ) era. The episode breaks down hybrid classical‑quantum approaches, quantum‑inspired algorithms, and the complex process of encoding classical data into quantum states. Zapata explains why portfolio optimization is a promising—but still aspirational—area for quantum speedups, and how current hardware limitations constrain real‑world deployment. This conversation offers an honest assessment of where the technology stands today and what breakthroughs are still needed before quantum tools can meaningfully impact finance. To read Oswaldo Zapata, PhD's chapter in AI in Asset Management, follow this link: https://rpc.cfainstitute.org/research/foundation/2025/chapter-9-quantum-computing-for-finance