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This research introduces GQROM, a programmable quantum read-only memory architecture that uses Gray code encoding to minimize state transition errors during data initialization in near-term quantum circuits. Validated on the Qiskit platform, the design offers a scalable hardware-friendly approach to efficiently loading classical data into quantum systems without excessive gate overhead.
Design Automation for Gray-Code Quantum Read-Only Memory
arXiv:2610.02757v1 Announce Type: new Abstract: We propose a programmable quantum read-only memory based on Gray code encoding, termed GQROM, designed to efficiently load classical data into quantum circuits. This architecture mitigates critical bottlenecks in near-term quantum computing by reducing initialization overhead and gate-induced errors. By utilizing Gray code, in which consecutive addresses differ by only a single bit, GQROM minimizes state transition complexity. We demonstrate the architecture's flexibility in accessing targeted data through initial-state modification. The entire design, including a systematic EDA flow, was implemented and validated on the Qiskit platform, confirming its practical feasibility. These results underscore GQROM's potential as a scalable and hardware-friendly solution for efficient state preparation in quantum circuits.
Abstract:We propose a programmable quantum read-only memory based on Gray code encoding, termed GQROM, designed to efficiently load classical data into quantum circuits. This architecture mitigates critical bottlenecks in near-term quantum computing by reducing initialization overhead and gate-induced errors. By utilizing Gray code, in which consecutive addresses differ by only a single bit, GQROM minimizes state transition complexity. We demonstrate the architecture's flexibility in accessing targeted data through initial-state modification. The entire design, including a systematic EDA flow, was implemented and validated on the Qiskit platform, confirming its practical feasibility. These results underscore GQROM's potential as a scalable and hardware-friendly solution for efficient state preparation in quantum circuits.
arXiv:2610.02757 [quant-ph]
(or arXiv:2610.02757v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.02757 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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