Quantum Computing Use Cases Emerge
Recent advances in error-corrected quantum chips are enabling the first real-world use cases to move from laboratories to pilot projects. On *The Vergecast*, panelists discussed emerging applications in the logistics and pharmaceutical industries, though they noted the technology remains nascent.
The key unlock has been in quantum error correction (QEC). Processors like Google's "Willow" chip have demonstrated the ability to reduce errors by adding more physical qubits to create a more stable "logical qubit," a critical step toward fault-tolerant systems. In logistics, this tackles complex routing challenges like the "dial-a-ride" problem, where fleets have numerous pickups and deliveries with specific time windows. Projections suggest quantum systems could efficiently solve problems involving up to 250 stops by 2033. Pharmaceutical research is using quantum-enhanced machine learning to tackle previously "undruggable" targets. Researchers from St. Jude and the University of Toronto have already used this method to identify potential molecules that could bind to the KRAS protein, a gene frequently mutated in cancers. The field is advancing on multiple fronts. IBM is pursuing fault-tolerant quantum computing by 2029 with processors like its "Nighthawk" chip. Meanwhile, Microsoft is developing a different approach using more inherently stable "topological qubits" to reduce the need for complex error correction. Beyond routing, quantum optimization is being applied to warehouse management. Algorithms can analyze inventory levels, item locations, and order requirements simultaneously to streamline storage and order-picking strategies, thereby reducing labor costs. In drug discovery, quantum computers can simulate molecular interactions with a precision that classical computers cannot achieve. Companies like Pasqal and Qubit Pharmaceuticals are using this to model how water molecules affect the binding of a drug to a protein, a crucial factor in a drug's effectiveness. While companies like PsiQuantum are focused on the long-term goal of a million-qubit machine, the industry is following detailed roadmaps with intermediate milestones. IBM, for instance, aims to build a system with over 4,000 qubits by 2029 as it works toward building a quantum-centric supercomputer.
