Can Quantum Computing Break AI’s Power Limits? Insights & Market Outlook

Quantum computing is expected to become a disruptive force that solves AI’s compute bottlenecks. Compared with classical computing, it offers stronger parallelism and lower energy consumption, and its computational power grows exponentially with the number of qubits, giving it great potential in AI.

Quantum computing hardware and software infrastructure are steadily maturing, laying a solid foundation for commercialization. Globally, major technology routes such as superconducting, ion‑trap, photonic, neutral‑atom and semiconductor qubits have formed, along with performance metrics like gate count, quantum volume and qubit number.

Quantum computing cloud platforms combine quantum hardware or simulators with classical cloud tools, communication devices and IT infrastructure, providing users with intuitive access and compute services. On the software side, quantum algorithms continue to evolve; under current hardware constraints, the focus is balancing fault‑tolerance cost and algorithm performance for NISQ algorithms, while the quantum software ecosystem remains in its early, open‑research stage.

According to ICV data, the global quantum computing market was about $4.7 billion in 2023 and is projected to exceed $8 trillion by 2035, with finance, chemicals and life sciences expected to benefit the most.