Quantum computing exceeds classical computing through using the ideologies of quantum physics. As opposed to traditional bits (0 s and 1 s), qubits, which operate in quantum computers, utilize entanglement to offer parallel processing and superposition to function in multiple states concurrently. These characteristics facilitate quantum computers to deal with complex problems exponentially faster instead of conventional systems. The stability and efficiency of several qubit architectures, including topological qubits, superconducting circuits, and trapped ions, are presently being investigated. This chapter examines the fundamentals of quantum computing, such as quantum algorithms, quantum gates, and quantum parallelism. Quantum control systems, qubit hardware, error correction techniques, and quantum processors are some of the key parts of quantum computers. The two main models of quantum computing, analog and gate-based, are compared. Highlighted are the possible uses in medication development, materials science, artificial intelligence, and cryptography. But issues like decoherence, error rates, and scalability still exist. Leading Information Technology (IT) companies are actively pursuing quantum supremacy, including Google, International Business Machines (IBM) corporation, and Microsoft. Applications for hybrid quantum–classical computing are temporary. To fully capitalize on quantum computing's potential, the chapter concludes by recognizing its disruptive effects on industry and technology and highlighting the significance of ongoing studies, funding, and cooperation.