Quantum computing has garnered immense interest from both industry and academia. The architecture of a quantum computer allows for faster and secure computation as compared to today’s classical computers. However, to bring quantum computers out into the market, several engineering challenges need to be addressed. One such challenge is the energy requirement for the operation of a practical large-scale quantum computer. In our research, we study the energy-requirement challenge at the very fundamental level. That is, at the quantum processor level, where all the computations are carried out. In particular, we consider logical single-qubit gates inside a quantum processor. The performance of a single-qubit gate is characterized by the gate fidelity. The motivation is to implement high-fidelity and energy-efficient single-qubit gates. From our theoretical and numerical work, we have identified sources of gate error and developed methods to minimize these sources of error. Additionally, we have also developed novel technique, namely, quantum driving to implement energy-efficient single-qubit gate operation. Furthermore, it turns out that by implementing high-fidelity gates, we can pave the way for energy-efficient quantum computing. The next step is to experimentally demonstrate the implementation of quantum driving for high-fidelity and energy-efficient single-qubit gates.

2022

2023