3 papers
quant-ph2026
Reducing C-NOT Counts for State Preparation and Block Encoding via Diagonal Matrix Migration
Zexian Li, Guofeng Zhang, Xiao-Ming Zhang
Quantum state preparation and block encoding are versatile and practical input models for quantum algorithms in scientific computing. The circuit complexity of state preparation an…
quant-ph2025
Dictionary-based Block Encoding of Sparse Matrices with Low Subnormalization and Circuit Depth
Chunlin Yang, Zexian Li, Hongmei Yao +3
Block encoding severs as an important data input model in quantum algorithms, enabling quantum computers to simulate non-unitary operators effectively. In this paper, we propose an…
quant-ph2025
Binary Tree Block Encoding of Classical Matrix
Zexian Li, Xiao-Ming Zhang, Chunlin Yang +1
Block-encoding is a critical subroutine in quantum computing, enabling the transformation of classical data into a matrix representation within a quantum circuit. The resource trad…