3 citations · 3 across the 6 of their papers we have counts for
6 papers · 1 filter
From Bits to Qubits: The Theory and Practice of Quantum Data Encoding
Xiao-Ming Zhang, Arthur G. Rattew, Bujiao Wu +4
Encoding classical data into quantum systems is a foundational step in the execution of nearly all quantum algorithms, and a critical bottleneck in realizing practical quantum adva…
SOFT: a high-performance simulator for universal fault-tolerant quantum circuits
Riling Li, Keli Zheng, Yiming Zhang +4
Circuit simulation tools are critical for developing and assessing quantum-error-correcting and fault-tolerant strategies. In this work, we present SOFT, a high-performance Simulat…
Constant-Depth Quantum Circuits for Arbitrary Quantum State Preparation via Measurement and Feedback
Wei Zi, Junhong Nie, Xiaoming Sun
The optimization of quantum circuit depth is crucial for practical quantum computing, as limited coherence times and error-prone operations constrain executable algorithms. Measure…
Almost Optimal Synthesis of Reversible Function in Qudit Model
Buji Xu, Junhong Nie, Xiaoming Sun
Quantum oracles are widely adopted in problems, like query oracle in Grover's algorithm, cipher in quantum cryptanalytic and data encoder in quantum machine learning. Notably, the…
Efficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU
Wei Zi, Siyi Wang, Hyunji Kim +3
In recent years, Quantum Machine Learning (QML) has increasingly captured the interest of researchers. Among the components in this domain, activation functions hold a fundamental…
Shallow Quantum Circuit Implementation of Symmetric Functions with Limited Ancillary Qubits
Wei Zi, Junhong Nie, Xiaoming Sun
In quantum computation, optimizing depth and number of ancillary qubits in quantum circuits is crucial due to constraints imposed by current quantum devices. This paper presents an…