Quantum Software Stack Development

Quantum software stack development is fundamental to enabling scalable and efficient quantum computing. We focus on building a layered architecture that bridges high-level quantum algorithms and low-level hardware instructions. By integrating advanced compiler technologies, simulation acceleration technologies, and error-aware optimizations, our goal is to construct a robust and modular software stack that maximizes the capabilities of quantum hardware while minimizing the impact of noise. This work lays the foundation for dependable and high-performance quantum systems.

Compiler Technology for Quantum Computers

We aim to develop innovative quantum compiler technology to harness the power of quantum computing. Quantum compilers are designed to translate high-level quantum circuits into quantum instructions and optimize them for execution on quantum computers, thereby improving performance. We are developing state-of-the-art compiler technology to address the challenges of quantum noise vulnerability, qubit resource limitations, and other issues.

Quantum Computer Simulation Acceleration

Due to the limitations of real quantum machines, quantum computer simulations are primarily used to study quantum algorithms. However, large-scale quantum circuit simulations suffer severely from massive vector-matrix multiplications, which exponentially increase with the number of qubits. We are investigating the techniques to accelerate the simulation of large-scale quantum circuits by using emerging memory and PIM technologies.

Quantum Machine Learning

Quantum machine learning (QML) is an exciting and innovative field of research that explores the intersection of quantum computing and machine learning with the goal of revolutionizing the field of artificial intelligence. QML has the potential to significantly improve the efficiency and effectiveness of machine learning algorithms. We conduct research using compiler technology to optimize performance and minimize errors in QML applications across various fields, including drug discovery, finance, and optimization.

Quantum Error Mitigation

Our study is centered on enhancing error mitigation for Noisy Intermediate-Scale Quantum (NISQ) machines. Recent quantum systems are particularly susceptible to errors due to environmental noise and qubit imperfections. By studying advanced architectures and algorithms specifically designed for NISQ machines, we aim to enhance their computational stability and accuracy significantly. This work is pivotal for making NISQ technology more reliable in the short term and developing a foundational framework for the broader field of quantum computing.

Quantum Error Correction

Quantum error correction (QEC) is an essential technology for leading the era of fault-tolerant quantum computing (FTQC). We focus on developing innovative decoding algorithms for various QEC codes and acceleration technologies to enhance the efficiency and reliability of the QEC codes. By exploring cutting-edge methods and optimizing existing techniques, we strive to address the challenges in error correction, paving the way for practical and scalable quantum systems.