The Rise of Quantum Computing -- Take a BITE for Built Environment and Urban Microclimate Research
arXiv:2604.18407 · doi:10.1007/s12273-026-1431-2
Abstract
Quantum computing is a new approach to computation that utilizes superposition, entanglement, interference, and tunneling to solve problems too complex for classical computers. This paper discusses the basic concepts and development of quantum computing, exploring its potential applications in the built environment and urban microclimate research. In buildings, quantum computing may help optimize energy management, control HVAC systems, and plan electric vehicle charging networks more efficiently. For urban microclimates, it could accelerate renewable energy planning and support multi-objective design, making it easier to balance urban building performance with climate conditions. Since current quantum hardware is still in the Noisy Intermediate-Scale Quantum (NISQ) stage, we propose the "BITE" principle to guide researchers in choosing suitable problems for quantum acceleration: B (Big search), I (Input-light), T (Tiny computation), and E (Evaluation polish). Although quantum computing still faces challenges such as noise and hardware limits, it offers great potential for developing more climate-resilient, sustainable, and energy-efficient cities of the future.
16 pages, 3 figures
References in corpus (19)
- Supplementary information for "Quantum supremacy using a programmable superconducting processor"
- Quantum Machine Learning
- Charge insensitive qubit design derived from the Cooper pair box
- Quantum algorithm for solving linear systems of equations
- Variational Quantum Algorithms
- Ising formulations of many NP problems
- Coherent control of macroscopic quantum states in a single-Cooper-pair box
- A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem
- A Quantum Approximate Optimization Algorithm
- Experimental realization of Shor's quantum factoring algorithm using nuclear magnetic resonance
- Adiabatic Quantum Computing
- Logical quantum processor based on reconfigurable atom arrays
- Quantum algorithms: an overview
- Perspectives of quantum annealing: Methods and implementations
- Warm-starting quantum optimization
- Quantum Algorithm for Simulating the Wave Equation
- Variational Quantum Algorithms for Computational Fluid Dynamics
- Quantum Simulator for Transport Phenomena in Fluid Flows
- Quantum algorithm for the Navier Stokes equations by using the streamfunction vorticity formulation and the lattice Boltzmann method