In this talk, I will provide an overview of my contributions to quantum computing, specifically focusing on hardware software co-design for quantum computing by diving into the pulse level. Transitioning to a pulse-level workflow paradigm can reduce the circuit duration of quantum programs, enabling the execution of deeper quantum circuits on quantum machines with the same decoherence time. This shift in focus has been substantiated by my research to enhance solutions in practical areas such as quantum machine learning, quantum finance, and quantum chemistry. In the first part of the talk, I will introduce QPulse, a work that introduces a set of designs for parameterized pulses and evaluates them based on specific metrics, including their expressive capacity, entanglement capabilities, and effective parameter dimensions. Then, I will present NAPA, a cutting-edge native-pulse ansatz generator framework specifically tailored for variational quantum algorithms. By progressively searching the pulse-level circuit architecture, we build a pulse ansatz that demonstrates a significant advantage over the gate-level quantum circuit on benchmarking tasks. Finally, I will discuss my ongoing work and future research towards building efficient design automation tools and scalable hybrid classical-quantum algorithms to implement quantum technologies for practical real-world applications. Bio: Zhiding Liang is currently a postgraduate student studying for his Ph.D. degree in the Department of Computer Science and Engineering at the University of Notre Dame under the supervision of Prof. Yiyu Shi. His current research interests include hardware-software co-design for quantum computing and quantum machine learning. The results of his research have been published in prestigious conferences and journals, including DAC, ICCAD, QCE, TCAD, and TVCG. He has been selected as a DAC Young Fellow in both 2021 and 2022. He has also been nominated as the recipient of the Edison Innovation Fellowship by the IDEA Center at the University of Notre Dame. He is devoted to quantum education and outreach; he is the co-founder of the Quantum Computer System (QuCS) Lecture Series, an impactful public online lecture series in the quantum computing community. He also led the organization of the first ACM/IEEE Quantum Computing for Drug Discovery Challenge at ICCAD, a top-tier computer science conference. He is one of the major contributors to the TorchQuantum library, which has been adopted by IBM Qiskit Ecosystem and PyTorch Ecosystem with 1.1K+ stars on GitHub. He received the B.S. in Electrical Engineering from the University of Wisconsin-Madison.