An Efficient Algorithm for Sparse Quantum State Preparation
Niels Gleinig, Torsten Hoefler
2021年份
43被引次数
3顶会引用
摘要
Generating quantum circuits that prepare specific states is an essential part of quantum compilation. Algorithms that solve this problem for general states generate circuits that grow exponentially in the number of qubits. However, in contrast to general states, many practically relevant states are sparse in the standard basis. In this paper we show how sparsity can be used for efficient state preparation. We present a polynomial-time algorithm that generates polynomial-size quantum circuits (linear in the number of nonzero coefficients times number of qubits) that prepare given states, making computer-aided design of sparse state preparation scalable.
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引用它的顶会 Paper3
- EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical DataJason Han, Nicholas S. DiBrita, Younghyun Cho, Hengrui Luo 等DAC 2025 · 被引用 2 次
- AQER: A Scalable and Efficient Data Loader for Digital Quantum ComputersKaining Zhang, Xinbiao Wang, Yuxuan Du, Min-Hsiu Hsieh 等ICLR 2026 · 被引用 2 次
- Compiling Quantum Regular Language StatesArmando Bellante, Reinis Irmejs, Marta Florido-Llinàs, María Cea Fernández 等OOPSLA 2026
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