量子计算：摆脱数据桎梏，创新药研发充满想象力的未来 | 李 翛然 | TEDxNanjing

Quick Overview

The speaker details how quantum computing combined with AI (Quantum AIDD) is revolutionizing drug discovery by drastically accelerating the process of finding the right molecular

Key Points: The core challenge in drug discovery is finding the correct molecule to target a specific biological "lock" (target protein), which involves searching through an enormous chemical space (estimated at 1.11 x 10^21 possibilities). Traditional methods for finding the correct drug candidate are extremely slow and expensive, taking 10-15 years and costing over $2 billion, with a 95% failure rate. The speaker highlights the success of Imatinib (Gleevec) for CML, which took 41 years from discovery of the target ("lock") to market approval in 2001. Quantum computing, specifically using 105-qubit processors like the 2024 'Willow' chip, can solve problems like Random Circuit Sampling in 5 minutes that would take a classical supercomputer 10^25 years. The presentation introduces Quantum AIDD (Quantum + AI Drug Design) as a method to overcome the limitations of traditional computational methods, which struggle with the triple interaction of Drug-Target-Body. The speaker emphasizes that nature is fundamentally quantum mechanical, necessitating quantum computation for accurate simulation and design of molecules. The ultimate goal is to use Quantum AIDD to design and validate previously undiscovered drug structures, as demonstrated by calculating the activation energy barrier for a carbon-carbon bond cleavage reaction.

Context: This TEDxNanjing 2025 talk by Li Xiaoran focuses on the intersection of quantum computing, artificial intelligence (AI), and drug discovery, specifically addressing the immense computational challenges in identifying effective drug molecules. The presentation contrasts the decades-long timeline of traditional drug development, exemplified by the 41-year journey of Imatinib, with the potential speed and accuracy offered by next-generation computational tools like quantum computers.