Jun Fujisaki

Achieving practical quantum speedup with limited resources is a crucial challenge for both academic and industrial communities. To address this, a partially fault-tolerant quantum computing architecture (STAR architecture) based on noisy analog rotation gate has been proposed. This presentation outlines the STAR architecture, recent progress in analog rotation gate and in estimating the computational resources required for quantum phase estimation in the 2D Hubbard model. For devices with a physical error rate of 10^−4, we estimate that approximately 60,000 physical qubits are required to achieve faster ground state energy estimation of the 8 × 8 Hubbard model compared to classical computation. We also discuss the need for adaptive quantum circuits for non-deterministic processes in the STAR architecture, such as the repeat-until-success (RUS) protocol and resource state preparation.