The field of quantum computing explores the application of quantum mechanics to perform computational tasks. While classical computer science is based on classical physics and the principles of Boolean logic, quantum computing takes advantage of quantum phenomena such as superposition and entanglement.
Quantum computing has the potential to revolutionize various areas of computer science by providing more efficient algorithms for certain problems. For example, Shor's algorithm, a quantum algorithm, has the potential to efficiently factor large numbers, which is a computationally difficult problem for classical computers and forms the basis for many encryption schemes.
However, when you mention "quantum relative" in the context of computer science, it's not entirely clear what you mean. If you are asking whether computer science itself will fundamentally change with the advent of quantum computing, it is likely that quantum computing will introduce new paradigms and algorithms that will expand the scope of computer science.
Furthermore, quantum computing may have implications for areas such as cryptography, optimization, simulation, and machine learning. Researchers are actively exploring these possibilities and working on developing quantum algorithms and architectures that can outperform classical counterparts.
It's worth noting that quantum computing is still in its early stages, and many practical challenges need to be overcome to build reliable and scalable quantum computers. Nevertheless, ongoing research and advancements suggest that quantum computing will have a significant impact on computer science in the future.