I am a PhD candidate at the University of Washington in Seattle. My research is focused on quantum simulation for quantum field theories, which involves mapping quantum systems onto qubits, developing architecture-aware quantum algorithms for state preparation and dynamics, optimizing quantum resources, and customizing error mitigation methods.
This talk presents the workflow for simulating the adiabatic state preparation of the ground state of a scalar field theory on IBM’s quantum computers. This includes error mitigation techniques that are particularly useful for time evolution such as self-mitigating circuits and operator decoherence renormalization. Additionally, I will introduce Sequency Hierarchy Truncation (SeqHT), a method designed to reduce quantum resource requirements for state preparation and time evolution. By applying SeqHT, we achieve a ∼30% reduction in circuit depth, leading to significantly improved fidelities in our quantum simulations. SeqHT provides a general organizational framework applicable to simulations of systems with hierarchical energy or length scales. It also shines light on optimizing resource allocation in the context of quantum error correction.