Resource Estimation via Efficient Compilation of Key Quantum Primitives
Colin Campbell, Rich Rines, Victory Omole, Tina Oberoi, Palash Goiporia, Rayat Roy, R. Peyton Cline, Eric B. Jones, Teague Tomesh

TL;DR
This paper introduces a compilation-based framework for quantum resource estimation that models hardware constraints and circuit compilation, aiding in architectural design choices for fault tolerant quantum computers.
Contribution
It presents a flexible, compilation-driven approach for resource estimation that captures hardware-circuit interactions, enabling rapid comparison of architectural options.
Findings
Movement access can reduce overhead in early quantum workloads.
Routing and qubit movement become bottlenecks as problem size increases.
Neutral atom architectures with dual-species arrays and movement are promising for near-term advantage.
Abstract
Resource estimation is a significant challenge in evaluating fault tolerant quantum computers. Existing approaches often rely on either fixed architectural assumptions or coarse analytical models that fail to capture the interaction between hardware constraints and circuit compilation. This challenge is particularly acute for neutral atom quantum computers, where architectural features such as atom movement, measurement zones, and multi-species arrays introduce a broad design space for implementing fault tolerant computation. Addressing the need for a tighter feedback loop between hardware design and practical application development, we present a compilation-driven framework for quantum resource estimation that translates arbitrary quantum circuits into logical primitive operations with known physical resource costs. This framework allows for easily configurable hardware assumptions…
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