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Evidence record 13690 · automatically gathered

Learning to Prepare Molecular Ground States with Transformer Models

Quantum state preparation is a key component of many quantum algorithms. Performing this step efficiently is essential for realizing practical quantum advantage in quantum chemistry applications. Iterative algorithms like ADAPT-VQE can produce shallow ground-state preparation circuits, but become computationally prohibitive for the larger molecules relevant to materials science and pharmaceutical development. Here, we introduce ADAPT-GQE, a generative AI framework that learns to synthesize groun

Record details

Published: 24 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Biotech
Retrieved: 27 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (24 July 2026), “Learning to Prepare Molecular Ground States with Transformer Models,” evidence record 13690, https://ethics.ai/record/13690 (originally published by arXiv cs.AI).

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