Advanced characterisation and error mitigation techniques for quantum devices (Future Leaders in Quantum Computing Program)
This project is part of the ARC Training Centre Future Leaders in Quantum Computing Program (FLiQC). Noise is the biggest challenge of quantum computing. Quantum systems are highly sensitive and interact with their environment. For the execution of a quantum algorithm, we need to prepare qubits in a desired quantum state, apply several gates, and finally measure the qubits. This is the standard circuit model of quantum computing and is the most applicable to current quantum devices, such as superconducting qubits and neutral atoms. The environment affects every timestep of these circuits, both independently and in a correlated manner. This means that noise across the different stages of a quantum algorithm is correlated in time, leading to what we call non-Markovian, or correlated, noise. This type of noise is present in most current quantum devices and starts to be a limiting factor in scaling the technology.
