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arXiv · 2507.10699

Compilation of QCrank Encoding Algorithm for a Dynamically Programmable Qubit Array Processor

Jan Balewski·Wan-Hsuan Lin·Anupam Mitra·Milan Kornjača·Stefan Ostermann·Pedro L. S. Lopes·Daniel Bochen Tan·Jason Cong
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Abstract

Algorithm and hardware-aware compilation co-design is essential for the efficient deployment of near-term quantum programs. We present a compilation case-study implementing QCrank -- an efficient encoding protocol for storing sequenced real-valued classical data in a quantum state -- targeting neutral atom-based Dynamically Programmable Qubit Arrays (DPQAs). We show how key features of neutral-atom arrays such as high qubits count, operation parallelism, multi-zone architecture, and natively reconfigurable connectivity can be used to inform effective algorithm deployment. We identify algorithmic and circuit features that signal opportunities to implement them in a hardware-efficient manner. To evaluate projected hardware performance, we define a realistic noise model for DPQAs using parameterized Pauli channels, implement it in Qiskit circuit simulators, and assess QCrank's accuracy for writing and reading back 24-320 real numbers into 6-20 qubits. We compare DPQA results with simulated performances of Quantinuum's H1-1E and with experimental results from IBM Fez, highlighting promising accuracy scaling for DPQAs.

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Jan Balewski, Wan-Hsuan Lin, Anupam Mitra, Milan Kornjača, Stefan Ostermann, Pedro L. S. Lopes, Daniel Bochen Tan, Jason Cong. 2025-07-14. Compilation of QCrank Encoding Algorithm for a Dynamically Programmable Qubit Array Processor. https://doi.org/10.1109/qce65121.2025.00219

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