Supply Chain Optimization
Complex calculations are required for supply chain optimization in order to reduce costs, boost productivity, and efficiently allocate resources. The combinatorial complexity of supply chain optimization may be handled by quantum computers, which will result in more efficient operations, less waste, and better delivery schedules. In this department of supply and demand cycles, I don't see quantum computing as especially key or unique, given adequate technology in the status quo - however, there may be more usage of quantum computing in this area if there are crashes or drops in either supply or demand. This is because of quantum computing being able to utilize blockchain algorithms to effectively organize and keep information circulating to where it needs to be.
Urban Optimization and Traffic Routes
Optimizing infrastructure development, energy use, and traffic flow are all necessary components of urban planning. Complex optimization issues can be handled by quantum computing, resulting in more efficient city planning and smarter urban design. In the status quo, car crashes, traffic delays, and things of that sort are extremely common no matter where you live. In most places, or especially busy cities, quantum computing could provide valuable revisions in design to help with stuck up traffic. For the design of future cities, qubits could also be crucial in it's ability to test out different structures and shapes o\cite{DiVincenzo_1998}\cite{Terhal_2015}\cite{Devitt_2013}f buildings and architecture.