The field of quantum computing is moving towards the development of more robust and efficient methods for programming and verifying quantum programs. Researchers are exploring new refinement orders for quantum programs, which provide a systematic approach to software development and ensure program correctness. Additionally, there is a growing interest in applying quantum-related methods to solve complex problems, such as set constraint problems. Quantum-inspired and quantum matrix methods are being proposed to overcome the limitations of classical techniques. Furthermore, researchers are working on establishing a quantum universal hypothesis testing framework, which could have a significant impact on the field. Noteworthy papers include: Determining Implication of Fixed Matrix Prenex Normal Forms Can Be Decided in Linear Time, which presents a RAM algorithm running in linear time, and Towards Quantum Universal Hypothesis Testing, which introduces a quantum universal hypothesis testing framework with exponential consistency.