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20242026
most citedEfficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU

3 citations · 3 across the 8 of their papers we have counts for

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8 papers

quant-ph2026

Structure-Aware Placement and Routing of Multi-Controlled Toffoli on Bivariate Bicycle Code Architectures

Anik Basu Bhaumik, Suman Dutta, Siyi Wang +1

The multi-controlled Toffoli (MCT) gate is a fundamental primitive in quantum circuit design, with applications in quantum arithmetic, cryptanalysis, and algorithmic implementation…

quant-ph2026

Quantum Arithmetic Circuits in Public-Key Cryptography

Siyi Wang, Kyungbae Jang, Hyunji Kim +4

Quantum computing has advanced rapidly in recent decades, driven by developments across the technology stack, including quantum error-correcting codes and efficient quantum algorit…

quant-ph2025

SWAP Attack: Stealthy Side-Channel Attack on Multi-Tenant Quantum Cloud System

Wei Jie Bryan Lee, Siyi Wang, Suman Dutta +2

The rapid advancement of quantum computing has spurred widespread adoption, with cloud-based quantum devices gaining traction in academia and industry. This shift raises critical c…

quant-ph2025

On Exact Space-Depth Trade-Offs in Multi-Controlled Toffoli Decomposition

Suman Dutta, Siyi Wang, Anubhab Baksi +2

In this paper, we consider the optimized implementation of Multi Controlled Toffoli (MCT) using the Clifford T gate sets. While there are several recent works in this direction…

quant-ph2024

A Comprehensive Study of Quantum Arithmetic Circuits

Siyi Wang, Xiufan Li, Wei Jie Bryan Lee +3

In recent decades, the field of quantum computing has experienced remarkable progress. This progress is marked by the superior performance of many quantum algorithms compared to th…

quant-ph2024

Optimal Toffoli-Depth Quantum Adder

Siyi Wang, Suman Deb, Ankit Mondal +1

Efficient quantum arithmetic circuits are commonly found in numerous quantum algorithms of practical significance. Till date, the logarithmic-depth quantum adders includes a consta…

quant-ph2024★ 3 cited

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…

quant-ph2024

Boosting the Efficiency of Quantum Divider through Effective Design Space Exploration

Siyi Wang, Eugene Lim, Anupam Chattopadhyay

Rapid progress in the design of scalable, robust quantum computing necessitates efficient quantum circuit implementation for algorithms with practical relevance. For several algori…