Quantum cloud computing (QCC) is an emerging paradigm that integrates quantum computing (QC) with cloud computing to provide access to quantum resources. QC, still in its early stages, offers significant advantages over classical computing, including faster processing, enhanced security, and improved problem-solving capabilities. However, QC requires highly isolated environments and is currently expensive and difficult to stabilize. QCC aims to address these challenges by enabling quantum computing resources to be accessed via cloud platforms, making them available to users without the need for physical access to quantum hardware. This article explores the vision, challenges, and research gaps in QCC. It discusses the fundamental principles of QC, such as superposition, entanglement, and quantum algorithms like the Deutsch-Jozsa and Shor algorithms. It also highlights the software tools and platforms used for quantum computing, including Qiskit, Cirq, and PyQuil. The article identifies key research gaps, such as qubit stability, error correction, and the need for secure quantum cryptography. QCC offers several advantages, including the ability to scale computing resources, reduce costs, and enable collaboration among users worldwide. It also has potential applications in areas such as data analysis, security, machine learning, and complex problem-solving. However, challenges remain in terms of infrastructure, scalability, and security. The integration of QC with cloud computing raises questions about the development of quantum internet and the need for new protocols to ensure secure data transmission. The article concludes that QCC has the potential to revolutionize various fields, but further research is needed to overcome existing challenges and realize its full potential. The integration of QC with cloud computing is a promising direction for future research, with the potential to transform computing in the coming years.Quantum cloud computing (QCC) is an emerging paradigm that integrates quantum computing (QC) with cloud computing to provide access to quantum resources. QC, still in its early stages, offers significant advantages over classical computing, including faster processing, enhanced security, and improved problem-solving capabilities. However, QC requires highly isolated environments and is currently expensive and difficult to stabilize. QCC aims to address these challenges by enabling quantum computing resources to be accessed via cloud platforms, making them available to users without the need for physical access to quantum hardware. This article explores the vision, challenges, and research gaps in QCC. It discusses the fundamental principles of QC, such as superposition, entanglement, and quantum algorithms like the Deutsch-Jozsa and Shor algorithms. It also highlights the software tools and platforms used for quantum computing, including Qiskit, Cirq, and PyQuil. The article identifies key research gaps, such as qubit stability, error correction, and the need for secure quantum cryptography. QCC offers several advantages, including the ability to scale computing resources, reduce costs, and enable collaboration among users worldwide. It also has potential applications in areas such as data analysis, security, machine learning, and complex problem-solving. However, challenges remain in terms of infrastructure, scalability, and security. The integration of QC with cloud computing raises questions about the development of quantum internet and the need for new protocols to ensure secure data transmission. The article concludes that QCC has the potential to revolutionize various fields, but further research is needed to overcome existing challenges and realize its full potential. The integration of QC with cloud computing is a promising direction for future research, with the potential to transform computing in the coming years.