Efficiently Architecting VQAs: Expressibility–Trainability–Resources Pareto-Optimality

Abstract: Ansatz selection is a key factor in the performance of variational quantum algorithms (VQAs). While much of the state-of-the-art still relies on heuristic choices, an inadequate circuit structure can compromise both the expressive power and the trainability of the resulting model. Recent results have also established theoretical connections between expressibility and the onset of […]

Network-Based Quantum Computing: an Efficient Design Framework for Many-small-node Distributed Fault-Tolerant Quantum Computing

Abstract: In fault-tolerant quantum computing, a large number of physical qubits are required to construct a single logical qubit, and a single quantum node may be able to hold only a small number of logical qubits. In such a case, the idea of distributed fault-tolerant quantum computing (DFTQC) is important to demonstrate large-scale quantum computation […]