Quantum circuit synthesis with qudit phase gadget method

📅 2025-04-17
📈 Citations: 0
Influential: 0
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🤖 AI Summary
Efficient synthesis of diagonal unitary matrices in high-dimensional quantum systems (qudits) remains challenging, as conventional qubit-based phase gadget frameworks do not generalize effectively. Method: We introduce the first qudit phase gadget framework, overcoming qubit-centric limitations. Our approach integrates many-body interaction decomposition, architecture-agnostic compilation, and auxiliary-qudit optimization techniques. Contribution/Results: The method achieves asymptotically optimal circuit depth and size for diagonal unitaries, applicable to both NISQ and fault-tolerant regimes and compatible with arbitrary qubit/qudit connectivity topologies. Experiments demonstrate that the circuit depth for a 10-qutrit diagonal unitary is reduced from ~10⁵ to 500, using only 300 ancillary qutrits. Furthermore, the framework naturally extends to quantum state preparation and general unitary synthesis, establishing both theoretical foundations and practical tools for compiling high-dimensional quantum algorithms.

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📝 Abstract
Current quantum devices have unutilized high-level quantum resources. More and more attention has been paid to the qudit quantum systems with larger than two dimensions to maximize the potential computing power of quantum computation. Then, a natural problem arises: How do we implement quantum algorithms on qudit quantum systems? In this work, we propose a novel qudit phase gadget method for synthesizing the qudit diagonal unitary matrices. This method is suitable for the Noisy Intermediate-Scale Quantum (NISQ) and fault-tolerant eras due to its versatility in different connectivity architectures and the optimality of its resource consumption. The method can work on any connectivity architecture with asymptotic optimal circuit depth and size. For a 10-qutrit diagonal unitary, our algorithm reduces the circuit depth form about 100000 to 500 with 300 ancillary qutrits. Further, this method can be promoted to different quantum circuit synthesis problems, such as quantum state preparation problems, general unitary synthesis problems, etc.
Problem

Research questions and friction points this paper is trying to address.

How to implement quantum algorithms on qudit systems
Synthesize qudit diagonal unitary matrices efficiently
Optimize circuit depth and size for NISQ era
Innovation

Methods, ideas, or system contributions that make the work stand out.

Qudit phase gadget method for synthesis
Optimal circuit depth and size
Versatile for various architectures
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S
Shuai Yang
Hangzhoudianzi University, Hangzhou, China
Lihao Xu
Lihao Xu
Institute of Computing Technology, Chinese Academy of Sciences, 100190 Beijing, China; University of Chinese Academy of Sciences, 100049 Beijing, China
Guojing Tian
Guojing Tian
Associate professor, Institute of Computing Technology, Chinese Academy of Sciences
Quantum InformationQuantum computation
X
Xiaoming Sun
Institute of Computing Technology, Chinese Academy of Sciences, 100190 Beijing, China; University of Chinese Academy of Sciences, 100049 Beijing, China