The field of quantum computing is moving towards addressing the challenges of scalability, security, and practical application. Researchers are exploring new methods for analyzing and optimizing quantum programs, such as expectation-based analysis and Bayesian inference. Additionally, there is a growing focus on developing frameworks and architectures for multi-tenant distributed quantum computing, including circuit placement and resource scheduling. Quantum cloud systems are also becoming increasingly important, with a need for secure and resilient infrastructure. Noteworthy papers include:

• Expectation-based Analysis of Higher-Order Quantum Programs, which extends analysis of higher-order probabilistic programs to the quantum setting.
• CloudQC: A Network-aware Framework for Multi-tenant Distributed Quantum Computing, which proposes a framework for circuit placement and resource scheduling in a multi-tenant environment.
• Q-Fusion: Diffusing Quantum Circuits, which introduces a diffusion-based algorithm for generating new quantum circuits.