Designing a Million-Qubit Quantum Computer Using Resource Performance Simulator
Muhammad Ahsan, Rodney Van Meter, Jungsang Kim

TL;DR
This paper introduces a comprehensive simulation tool for designing large-scale fault-tolerant quantum computers, enabling evaluation of different architectures and parameters to optimize performance for factoring large integers.
Contribution
The work presents a complete performance simulation software capable of exploring quantum hardware design space, synthesizing fault-tolerant algorithms, and analyzing performance bottlenecks.
Findings
A trapped-ion quantum computer with doubled qubits and reduced infidelity can factor a 2,048-bit number in under five months.
The simulation tool effectively identifies performance bottlenecks and resource utilization issues.
Designing for larger qubit counts and lower error rates significantly improves factoring capabilities.
Abstract
The optimal design of a fault-tolerant quantum computer involves finding an appropriate balance between the burden of large-scale integration of noisy components and the load of improving the reliability of hardware technology. This balance can be evaluated by quantitatively modeling the execution of quantum logic operations on a realistic quantum hardware containing limited computational resources. In this work, we report a complete performance simulation software tool capable of (1) searching the hardware design space by varying resource architecture and technology parameters, (2) synthesizing and scheduling fault-tolerant quantum algorithm within the hardware constraints, (3) quantifying the performance metrics such as the execution time and the failure probability of the algorithm, and (4) analyzing the breakdown of these metrics to highlight the performance bottlenecks and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
