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Encoding classical data into a quantum computer

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arxiv 2107.09155 v1 pith:I6I6JBTN submitted 2021-07-16 quant-ph

classification quant-ph
keywords quantumclassicaldataqubitcorrespondingdecompositiondomainprepare
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

In this article we describe a technique to transfer data from classical domain to quantum domain. We consider a set of $N (=2^n)$ classical data in the form of a column matrix and prepare a $n$-qubit quantum state, whose components correspond to the $N$ classical data. To prepare this $n$-qubit quantum vector we use Schmidt decomposition and singular value decomposition techniques respectively and construct the corresponding family of quantum circuits. To strengthen our argument we also give specific examples by considering a set of 4 and 16 classical data and constructing the corresponding 2 and 4-qubit quantum vector respectively.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Non-Monotonic Relationship: An Empirical Analysis of Hybrid Quantum Classifiers for Unseen Ransomware Detection

    quant-ph 2025-09 conditional novelty 4.0 of 10

    A hybrid PCA+VQC quantum classifier achieves at best 55% recall on unseen ransomware detection, far below the 97.7% classical baseline, with performance degrading from 4 to 8 qubits before improving at 12.

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