Researchers from the Institute of Physics of the Chinese Academy of Sciences and Peking University have made a groundbreaking advancement in quantum computing through their work with the sophisticated ‘Zhuangzi 2.0’ quantum processor. Their study, published in the prestigious journal Nature, demonstrates unprecedented control over quantum system stability—a capability that has previously eluded even the most powerful classical supercomputers.
The team’s breakthrough centers on harnessing a phenomenon known as ‘prethermalization.’ This quantum equivalent occurs when qubits, upon receiving external energy, enter a brief but stable phase instead of immediately collapsing into chaos. During this critical window, information remains preserved and the system maintains order, much like ice lingering at 0°C while absorbing heat before transitioning to water.
The researchers employed an innovative technique called Random Multipolar Driving to manipulate this quantum plateau. By carefully adjusting the rhythm and pattern of energy pulses sent into the 78-qubit chip, they gained the ability to extend or shorten this stable phase. This approach provides scientists with a controllable temporal shield—akin to solving a complex puzzle whose pieces constantly threaten to disintegrate—allowing for critical computations before the system ultimately decoheres.
Dr. Fan Heng, corresponding author of the study, emphasized that this achievement represents more than mere qubit quantity advancement. ‘This breakthrough necessitates systematic research throughout the entire process,’ he stated, highlighting the integrated approach combining experimental work, numerical simulations, and theoretical analysis. The ‘Zhuangzi 2.0’ chip’s inherent quantum properties enabled real-time observation of these complex dynamics, providing insights previously impossible with classical computation.
While 78 qubits may appear modest compared to conventional computing bits, their quantum interactions create complexity that grows exponentially with entanglement. This exponential scaling eventually creates simulation requirements that surpass the capabilities of even the most advanced silicon-based computing systems, marking a fundamental boundary between classical and quantum computational domains.









