Introduction to Quantum Information and Computation for Chemistry

This chapter surveys some of the most important recent results in quantum computation and quantum information, with potential applications in quantum chemistry. It provides an overview of the basics of quantum computing (the gate model). The chapter explains quantum simulation, where the phase estimation algorithm (PEA) plays a key role. It talks about gate model quantum computing (GMQC), adiabatic quantum computing (AQC) and topological quantum computing. The model of adiabatic quantum computation (AQC) provides a completely different way of constructing quantum algorithms and reasoning about them. Therefore, it is seen as a promising approach for the discovery of substantially new quantum algorithms. Topological quantum computation seeks to exploit the emergent properties of many‐particle systems to encode and manipulate quantum information in a manner that is resistant to error. This scheme of quantum computing supports the gate model of quantum computation.