AI
As classical computing approaches its physical and computational limits, quantum computing is emerging as a powerful new paradigm.Origin Wukong, China’s latest72-qubit superconducting quantum computer, represents a major milestone in this transition—moving quantum systems from experimental laboratories toward real strategic and commercial applications.
This report examines the technological foundations of Origin Wukong, its growing impact across artificial intelligence, science, biomedicine, and finance, and the key challenges that continue to shape the future of quantum computing.
Conventional computers excel at reliability, scalability, and mature software ecosystems. However, they struggle with problems involving massive combinatorial complexity. Origin Wukong’s quantum architecture leveragesquantum superposition and interference, enabling the exploration of vastly larger solution spaces than classical machines.
Despite this promise, many application domains—including AI, biomedical research, and scientific simulation—are still not fully prepared to harness quantum potential. Limitations in hybrid algorithms, noisy hardware, and global research infrastructure remain significant barriers. Origin Wukong attempts to bridge these gaps while highlighting the challenges that must be addressed before quantum computing can achieve widespread adoption.
Origin Wukong is asuperconducting quantum computerbased on acircuit quantum electrodynamics (cQED)architecture. According to official specifications from Origin Quantum, the system employsat least 100 computational qubits and more than 180 coupler qubits.
Key technical characteristics include:
Average relaxation time (T₁) of≥ 18.72 μs
Average coherence time (T₂) of≥ 1.46 μs
Tunable qubit-to-qubit coupling strength from ~10 kHz to ~30 MHz
High gate fidelity:≥ 99.68%for single-qubit gates and≥ 95.71%for two-qubit gates
Readout accuracy exceeding92%
At the physical level, the qubit chip is housed inside adilution refrigerator, a cryogenic system that maintains temperatures in themillikelvin range. This structure consists of a thermal protection shell, photon-carrying control wires, mechanical support stages, and a central mixing chamber that stabilizes the system. At its core lies theQuantum Processing Unit (QPU)—the “brain” where quantum operations occur.
By enabling qubits to exist in superpositions of 0 and 1 simultaneously, Origin Wukong can explore enormous computational spaces that are fundamentally inaccessible to classical machines.
Origin Wukong demonstrates how quantum computing is beginning to generatereal strategic valueacross multiple sectors.
Quantum simulation allows the system to evaluate many physical configurations in parallel. This capability shows strong potential influid dynamics and turbulence modeling, which are critical for aerospace engineering, automotive design, and energy research—areas where classical simulations become prohibitively expensive.
In AI, Origin Wukong has been applied usinghybrid quantum–classical approachesto fine-tune billion-parameter models. Research indicates that quantum-assisted optimization canreduce model parameters by up to 76% while improving training effectiveness by 8.4%, positioning quantum computing as an efficiency accelerator rather than a replacement for classical AI.
Wukong supportsmolecular-level analysis and drug discovery, enabling more accurate predictions of molecular structures, binding energies, and conformational states. These capabilities reduce reliance on time-consuming and costly laboratory experimentation.
In finance, Origin Wukong has been used forportfolio optimization and risk modeling, problems characterized by extremely large combinatorial spaces. Quantum algorithms can evaluate multiple scenarios simultaneously, opening opportunities for more adaptive and precise investment strategies under uncertainty.
Origin Wukong’s impact extends beyond China. Since going online onJanuary 6, 2024, the system has:
Attracted users from139 countries and regions
Recorded over20 million cloud visits
Completed more than339,000 quantum computing tasks
Powered by alocally developed 72-qubit superconducting quantum chip, Origin Wukong represents a milestone in independent quantum technology. Its global accessibility democratizes quantum research while accelerating the formation of a more inclusive and commercially viable quantum innovation ecosystem.
Despite its progress, quantum computing still faces fundamental challenges that limit large-scale adoption.
Qubits are extremely sensitive and can lose coherence within microseconds, leading to noise and computational errors. AI-based error mitigation—such as adaptive neural networks and CNN-based estimators—shows promise but still requires large, high-quality datasets and struggles to generalize across circuit types.
Many promising quantum algorithms, particularly in AI, remain largely theoretical and do not yet scale well on noisy intermediate-scale quantum (NISQ) hardware. Hybrid workflows face challenges including slow data transfer, unstable optimization loops, and cumulative errors during classical–quantum switching.
Some studies speculate that extreme quantum computing power could accelerate AI toward forms of superintelligence. While still theoretical, the combination of powerful quantum systems and fast-learning AI raises concerns aroundinterpretability, alignment, and oversight, especially when models learn from noisy quantum data.
Origin Wukong stands as an important milestone in the evolution of quantum computing. While significant scientific, technical, and ethical challenges remain, progress is steadily emerging through advances in hardware stability, AI-assisted error mitigation, and scalable hybrid architectures.
The future of quantum computing will be shaped not by a single breakthrough, but by sustained innovation—transforming quantum systems into reliable, practical, and globally accessible tools for science, industry, and society.