Can Quantum Computing Break AI’s Compute Barrier? Insights & Market Outlook

Quantum computing is expected to become a disruptive force that solves AI’s compute bottleneck. Compared with classical computing, quantum computers offer stronger parallelism and lower energy consumption, and their computational power grows exponentially with the number of qubits, giving them great potential in AI.

Major overseas tech giants such as IBM, Microsoft, and Google have released quantum computing roadmaps, and the gap between domestic and foreign quantum computing industries is narrowing.

The underlying quantum hardware and software infrastructure is maturing, laying a solid foundation for commercialization. Globally, the main technology routes for quantum computers include superconducting, ion trap, photonic, neutral atom, and semiconductor qubits, and performance is evaluated by metrics such as quantum gate count, quantum volume, and qubit number.

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

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