5 papers
A Digital Spreading Framework for Quantum Expectation Computation Without Rotation Gates or Arithmetic Circuits
Yu-Ting Kao, Yeong-Jar Chang
In the pursuit of quantum advantage for financial engineering, researchers face a critical dilemma: analog rotation gates suffer from inherent 'sine-to-square' biases and error mag…
Integrating AI and Quantum-Inspired Techniques for Efficient Enzyme Fermentation Optimization
Ying-Wei Tseng, Yu-Ting Kao, Yeong-Jar Chang +4
This paper introduces a new method that combines Artificial Intelligence (AI) and quantum-inspired techniques to improve the efficiency of multi-variable optimization experiments.…
Novel Quantum Circuit Designs of Random Injection and Payoff Computation for Financial Risk Assessment
Yu-Ting Kao, Yeong-Jar Chang, Ying-Wei Tseng
Quantum entanglement enables exponential computational states, while superposition provides inherent parallelism. Consequently, quantum circuits are theoretically capable of suppor…
Mixed-Signal Quantum Circuit Design for Option Pricing Using Design Compiler
Yu-Ting Kao, Yeong-Jar Chang, Ying-Wei Tseng
Prior studies have largely focused on quantum algorithms, often reducing parallel computing designs to abstract models or overly simplified circuits. This has contributed to the mi…
Quantum-Chiplet: A Novel Python-Based Efficient and Scalable Design Methodology for Quantum Circuit Verification and Implementation
Yu-Ting Kao, Hao-Yu Lu, Yeong-Jar Chang +1
Analysis and verification of quantum circuits are highly challenging, given the exponential dependence of the number of states on the number of qubits. For analytical derivation, w…