These efforts have been driven by a tantalizing property: while conventional computers use a binary representation which allows computing resources to scale linearly with the best resources, quantum computation using quantum phenomena that can interact to allow computational power exponential in the number of quantum bits in the system. Quantum devices rely on the ability to control and manipulate binary data that is stored in the phase information of quantum wave functions that describe the electronic states of individual atoms or the polarization states of photons. We emphasize the fact that the basic principles of large-scale quantum computing is reliability through system balance: the need to protect and control the quantum information long enough for the algorithm to complete execution. To architectQCsystems, onemust understand what it takes to design and model architecture, fault-tolerant quantum balanced like the concept of balance drives conventional architectural design. We provide engineering-oriented introduction to quantum computation and provide an architectural case study based on experimental data and future projection for ion-trap technology.We apply the concept of balanced design a quantum computer, creating an architectural model that balances both quantum and classical resources in terms of exploitation parallelism in quantum applications.