Zhuangzi Quantum Computing Breakthrough: Chinese Scientists Master Prethermal Stability with 78-Qubit Processor

Understanding the Quantum Computing Challenge and Prethermalization

Quantum computing promises to revolutionize fields like drug discovery, materials science, and cryptography by leveraging quantum bits, or qubits, which can exist in superpositions of states unlike classical bits. However, a major hurdle remains: quantum systems are highly susceptible to decoherence and heating. When driven by external fields to perform computations, qubits absorb energy, leading to rapid thermalization where the system loses its quantum coherence and behaves like a classical hot soup of particles. This 'heating' limits computation time to mere microseconds in current setups.

Enter prethermalization, a phenomenon where a driven quantum system enters a quasi-stable phase before full thermalization. During this prethermal plateau, the system retains order and useful quantum information longer than expected, buying precious time for algorithms to run. Chinese researchers have now experimentally demonstrated a tunable version of this plateau on a large-scale quantum processor, marking a pivotal advance.

Introducing Zhuangzi 2.0: A 78-Qubit Superconducting Powerhouse

Named after the ancient Chinese philosopher known for exploring reality and illusion, Zhuangzi 2.0 (also referred to as Chuang-tzu 2.0) is a state-of-the-art superconducting quantum processor featuring 78 transmon qubits arranged in a 6x13 two-dimensional lattice. Connected by 137 tunable couplers, it simulates complex many-body Hamiltonians like the hard-core Bose-Hubbard model, essential for studying quantum phase transitions.

Each qubit operates with an anharmonicity of about -200 MHz, enabling precise control via microwave pulses. The processor achieves coherence times around 26 microseconds on average, allowing experiments spanning over 1,000 driving cycles—far beyond what smaller systems permit. Fabricated at the Institute of Physics, Chinese Academy of Sciences (IOPCAS), this device pushes the boundaries of scalable quantum simulation.

The Breakthrough Experiment: Random Multipolar Driving

The team applied random multipolar driving (RMD), a non-periodic protocol where control pulses follow structured random sequences with n-multipolar temporal correlations. Unlike traditional Floquet periodic drives, RMD uses randomness to suppress heating more effectively.

Starting from a density-wave initial state—alternating occupied and empty sites—they modulated qubit frequencies with trapezoidal Z-pulses over periods from 3 to 8 nanoseconds. Key metrics tracked included particle imbalance (measuring density order) and subsystem entanglement entropy (gauging quantum correlations). Results showed a clear prethermal plateau: imbalance stayed high and entropy low for hundreds of cycles before exponential decay.

• Prethermal lifetime tunable by driving frequency (higher frequency extends plateau) and multipolar order n (higher n suppresses heating better).
• Universal scaling: lifetime ~ frequency^(2n+1), verified experimentally.
• Entanglement transitions from area-law (low correlations) to volume-law (high scrambling), with non-uniform spatial spread.

Technical Deep Dive: From Theory to Measurement

The effective model is a 2D XY spin model, with hopping strength J/2π = 2 MHz. Driving disrupts time-translation symmetry but RMD confines energy absorption, creating a metastable prethermal state described by constrained effective theories.

Quantum state tomography on subsystems up to 10 qubits confirmed entropy growth patterns unattainable by classical tensor networks (bond dimension χ=96 fails beyond short times). Error mitigation corrected for relaxation and readout errors, yielding fidelity over 99% for initial states.

This step-by-step control—initialize, drive, measure, mitigate—demonstrates unprecedented fidelity in probing non-equilibrium dynamics, where 78 qubits generate complexity exceeding supercomputer simulation capacities.

The Research Team and Key Institutions Driving Innovation

Lead author Zheng-He Liu, alongside Yu Liu, Gui-Han Liang, and over 40 co-authors, was guided by corresponding author Heng Fan from IOPCAS. The core team hails from Beijing National Laboratory for Condensed Matter Physics at IOPCAS and the School of Physical Sciences, University of Chinese Academy of Sciences (UCAS).

Peking University's State Key Laboratory contributed via Hongzheng Zhao, adding interdisciplinary expertise. International collaborators from Imperial College London, Technical University of Munich, and Max Planck Institute provided theoretical insights.

UCAS, as China's premier graduate university under CAS, plays a central role in training quantum scientists. For aspiring researchers, explore higher ed research jobs or China academic opportunities to join such teams.

Nature Publication: Global Milestone in Quantum Research

Published in Nature on January 29, 2026, the paper "Prethermalization by random multipolar driving on a 78-qubit processor" has garnered immediate attention. It validates theoretical predictions while uncovering new scaling laws, positioning China at the forefront of quantum simulation.

This follows USTC's Zuchongzhi series triumphs, underscoring collaborative ecosystems between CAS institutes and universities. Read the full study here.

Implications for Quantum Computing Scalability

By extending coherent operation times, tunable prethermalization could enable fault-tolerant quantum computing. It offers a 'shield' against heating, crucial for error-corrected logical qubits. Compared to Google's Willow (105 qubits) or IBM's systems, Zhuangzi 2.0 excels in 2D many-body simulation fidelity.

Applications span quantum chemistry (modeling molecular dynamics), optimization (solving NP-hard problems), and sensing (ultra-precise measurements). In China, this accelerates national quantum strategies, integrating with photonic efforts like Jiuzhang.

• Reduces error rates in driven gates.
• Enables study of exotic phases like time crystals.
• Bridges gap to million-qubit era.

China's Quantum Ecosystem and Higher Education Impact

China invests heavily in quantum tech, with over 10,000 researchers and hubs at Tsinghua, Peking University, and UCAS. The breakthrough highlights UCAS's role in PhD training and postdoc programs, fostering talent amid global competition.

Peking University's quantum labs attract international students, emphasizing interdisciplinary physics-engineering curricula. This publication boosts enrollment in quantum majors, projected to grow 30% by 2027. Institutions like IOPCAS offer joint supervision, blending academia and national labs.

Check academic CV tips or professor jobs for entry points.

Career Opportunities in China's Quantum Boom

The Zhuangzi advance signals surging demand for quantum experts. Universities post openings for postdocs, lecturers, and faculty in superconducting QC. HKUST Guangzhou and Wenzhou-Kean seek assistant professors; CAS labs hire experimentalists.

Salaries average 500,000-1M RMB for mid-career, with grants from NSFC. International talent visas ease relocation. Platforms like postdoc jobs and university jobs list hundreds yearly.

• Skills: Superconducting fabrication, cryogenics, quantum control.
• Entry: Master's in physics, hands-on fab experience.
• Growth: 20% annual job increase projected to 2030.

Visit higher ed jobs for latest listings.

Photo by BoliviaInteligente on Unsplash

Future Outlook: Toward Practical Quantum Supremacy

Next steps include scaling to 200+ qubits, integrating with error correction, and hybrid classical-quantum workflows. Collaborations with industry (e.g., Origin Quantum) aim for cloud access by 2028.

Globally, this challenges US-EU leads, spurring alliances. For students, quantum courses at Peking and UCAS prepare for this frontier. Stay informed via university rankings.

In summary, Zhuangzi 2.0 exemplifies China's ascent in quantum research, offering actionable paths for careers in this transformative field. Explore professor reviews, jobs, and career advice to get started.