Haiqu and HSBC Demonstrate Scalable Quantum Encoding for Financial Models
thequantuminsider.com Apr 28, 2026

Haiqu and HSBC Demonstrate Scalable Quantum Encoding for Financial Models

AI-summarised brief · reviewed before publication

Haiqu and HSBC demonstrated a scalable method to encode real-world probability distributions into quantum circuits, addressing a key bottleneck in quantum computing applications. The approach uses matrix product state methods and a sampling-based workflow, enabling efficient preparation of complex distributions. Experiments on IBM quantum hardware achieved accurate statistical reproduction up to 25 qubits and demonstrated feasibility up to 64 qubits, indicating potential for larger-scale quantum financial modeling.

💡 Why It Matters

  • · Efficient encoding of complex probability distributions brings practical applications like financial risk modeling closer to reality.
  • · It helps move quantum finance workflows from theory to execution, overcoming a major barrier to using today's quantum hardware.