Work

Shot‐Based Quantum Encoding: A Data‐Loading Paradigm for Quantum Neural Networks (Advanced Computing 1/2026)

Year: 2026

Type: article

Abstract: Quantum Data Encoding Shot-Based Quantum Encoding represents data by allocating quantum measurement shots across multiple initial quantum states. The resulting mixed-state representation enables expressive quantum neural networks without data-encoding gates, reducing circuit depth while preserving learning performance. More details can be found in the Research Article by Alexey Melnikov and co-workers (DOI: 10.1002/adco.70004).

Source: Advanced Computing

DOI: 10.1002/adco.70005

Authors: Basil Kyriacou, Viktoria Patapovich, Maniraman Periyasamy, Alexey Melnikov

Institution: Terra Quantum (Switzerland)

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W7213265805

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