Architecture of a scalable universal quantum processor by encoding two qubits on electron and nuclear spins in a trapped ion
Abstract Scalable quantum information processing with limited physical resources is a key challenge in the pursuit of practical quantum advantage. Here, we introduce an approach that encodes two qubits per ion, enabling an n -ion–2 n -qubit quantum processor by harnessing four internal levels of trapped ions. As a proof of principle, we demonstrate a universal 1-ion–2-qubit processor using the valence electron spin and nuclear spin of a single 171 Yb + ion, achieving gate fidelities exceeding 98% for both single- and two-qubit operations via quantum process tomography. Furthermore, we implement Grover’s algorithm with a success rate surpassing 99%, showing the system’s computational capability. Through robust optimal quantum control, we enhance gate robustness against amplitude and frequency fluctuations, critical for large-scale operation. We present scalable architectures leveraging both laser-free and laser-based entangling gates, revealing that intra-atomic electron–nuclear spin interactions can reduce the complexity of inter-atomic operations. By substituting inter-atomic gates with high-fidelity intra-atomic ones, our scheme significantly improves circuit performance. This work establishes a pathway to exponentially expand the Hilbert space of quantum processors, and represents an important advance toward scalable, high-capacity quantum computing.
Authors
- Ji Bian (ORCID: https://orcid.org/0000-0001-7354-3602)
- Min Ding (ORCID: https://orcid.org/0000-0001-5444-9397)
- Xinxin Rao
- Le Luo
- Huiyi Zhang
- Pengfei Lu
- Qifeng Lao
- Teng Liu
Institutions
- Sun Yat-sen University (CN)
- The Seventh Affiliated Hospital of Sun Yat-sen University (CN)
- Shenzhen Bay Laboratory (CN)
Publication Details
- Journal
- New Journal of Physics
- Published
- 2025-12-23
- DOI
- https://doi.org/10.1088/1367-2630/ae309f
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00