Tailoring the Noise Structure of Fluxonium-Based Erasure Qubits (Part 1)

Designing physical qubits with structured noise is a powerful strategy for improving the efficiency of quantum error correction. In many architectures, a dual-rail encoding is used to engineer a desirable noise structure by convert dominant hardware noise into erasure. However, this comes at the cost of additional hardware for each physical qubit. In this work we analyse hardware-efficient erasure qubits encoded in a fluxonium-based superconducting circuits. We determine the circuit parameter regimes for these qubits which have the most advantageous noise structure for quantum error correction. Part 1/2