Partially Fault-Tolerant Quantum Computation for Megaquop Applications
Ming-Zhi Chung, Ali H. Z. Kavaki, Artur Scherer, Abdullah Khalid, Xiangzhou Kong, Toru Kawakubo, Namit Anand, Gebremedhin A Dagnew, Zachary Webb, Allyson Silva, Gaurav Gyawali, Tennin Yan, Keisuke Fujii, Alan Ho, Masoud Mohseni, Pooya Ronagh, John Martinis

TL;DR
This paper evaluates the potential of partially fault-tolerant quantum computing architectures, especially the STAR design, for large-scale quantum simulations like the 2D Fermi-Hubbard model, highlighting resource trade-offs and hardware impacts.
Contribution
It introduces a space--time-efficient analog rotation architecture and analyzes its resource requirements, limitations, and optimal configurations for large-scale quantum simulations.
Findings
STAR architecture's performance improves with hardware enhancements
Reduced space requirements via code growth procedures
Quantum simulation of 2D Fermi-Hubbard model feasible with partial FTQC
Abstract
Partially fault-tolerant quantum computing (FTQC) has recently emerged as a promising approach for the execution of megaquop-scale circuits with millions of logical operations. In this work, we demonstrate the strengths and the limitations of this approach by conducting quantum resource estimation (QRE) of the space--time-efficient analog rotation (STAR) architecture using realistic hardware specifications for superconducting processors, and compare it against the QRE of the full FTQC architecture. We show how the performance of the STAR architecture's protocols is affected by hardware improvements. We also reduce the space requirements for partial FTQC by developing a procedure leveraging code growth to decrease the size of a factory producing analog rotation states. Our results reveal a non-trivial dependence of the optimal pre-growth code distance on the rotation angle with respect…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum-Dot Cellular Automata
