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Low-Overhead and High-Fidelity Preparation of Logical Non-Clifford States with Multilevel Transversal Injection
Jiaxuan Zhang1, Tian-Hao Wei2, Xi-Ning Zhuang2
1Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui 230088, China.
We introduce multilevel transversal injection (MLTI), a novel method for creating high-fidelity quantum rotation gates. MLTI significantly reduces the computational overhead, making large-scale quantum algorithms more feasible.
Area of Science:
- Quantum computing
- Quantum information science
- Fault-tolerant quantum computation
Background:
- Rotation gates are essential components in quantum algorithms.
- Current methods like state distillation and gate synthesis have high overhead, limiting scalability.
- Overhead increases with Clifford hierarchy levels and required gate fidelity.
Purpose of the Study:
- To propose a new method, multilevel transversal injection (MLTI), for preparing rotation states.
- To achieve high fidelity while significantly reducing the overhead associated with fault-tolerant rotation gates.
- To address the limitations of existing methods for large-scale quantum algorithm implementation.
Main Methods:
- Development of the multilevel transversal injection (MLTI) technique.
- Preparation of rotation states at arbitrary Clifford hierarchy levels.
- Introduction of a method to eliminate off-diagonal terms of rotation states without additional overhead.
Main Results:
- MLTI achieves high fidelity for rotation states.
- The overhead of MLTI decreases with Clifford hierarchy levels and plateaus, unlike linear scaling in state distillation.
- Space-time volume is reduced by several orders of magnitude.
- Unified infidelity and trace distance metrics by eliminating off-diagonal terms.
Conclusions:
- MLTI offers a significant reduction in overhead for high-precision rotation gates.
- The method overcomes prohibitive costs, enabling broader adoption of large-scale quantum algorithms.
- This advancement brings practical, large-scale quantum computation closer to reality.
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