Classical, or binary computing relies on transistors – which can represent only the "1" or the "0" at a single time. In quantum computing, qubits can represent both 0 and 1 simultaneously, which can exponentially accelerate computing processes.
"In quantum information science and technology, it is often necessary to assemble a large number of fundamental information-processing units – qubits – together," explained Lai. "For applications such as quantum computing, maintaining a high degree of coherence or quantum entanglement among the qubits is essential.
"However, the inevitable interactions among the qubits and environmental noise can ruin the coherence in a very short time -- within about ten nanoseconds. This is because many interacting qubits constitute a many-body system," said Lai.
Key to the research is insight about delaying thermalization to maintain coherence, considered a critical research goal in quantum computing.
"From basic physics, we know that in a system of many interacting particles, for example, molecules in a closed volume, the process of thermalization will arise. The scrambling among many qubits will invariably result in quantum thermalization – the process described by the so-called Eigenstate Thermalization Hypothesis, which will destroy the coherence among the qubits," said Lai.
According to Lai, the findings moving quantum computing forward will have applications in cryptology, secure communications and cybersecurity, among other technologies.
Collaborators from the School of Physics and Astronomy, University of Leeds, Leeds, UK, include Jean-Yves Desaules and Zlatko Papić.
Dr. Hekang Li fabricated the device at Zhejiang University. Other collaborators from Zhejiang University, Hangzhou, China, include Pengfei Zhang, Hang Dong, Jiachen Chen, Jinfeng Deng, Bobo Liu, Wenhui Ren, Yunyan Yao, Xu Zhang, Shibo Xu, Ke Wang, Feitong Jin, Xuhao Zhu, and Chao Song.
Additional contributors include Liangtian Zhao and Jie Hao from the Institute of Automation, Chinese Academy of Sciences, Beijing, China and Fangli Liu from QuEra Computing, Boston, MA