What does this research mean for the field?

State-based quantum encoding of genomes, leveraging compositional biases such as AT and UA predominance, achieves efficient compression, fidelity, and scalability using fewer physical qubits than traditional qubit-register methods. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This framework aims to represent genomes using quantum states, enhancing efficiency and scalability. It builds on prior methods and explores plant viral genomes specifically.

June 1, 2026Open Access

Encoding Genomes in Quantum States: A Conceptual Framework

Key Points

This framework aims to represent genomes using quantum states, enhancing efficiency and scalability. It builds on prior methods and explores plant viral genomes specifically.
Introduces a conceptual framework for genome encoding using quantum states.
Examines the Narcissus degeneration virus (NDV) in a case study with codon mapping and nucleotide-to-qubit assignments.
Utilizes IBMQ hardware for implementation of state-based encoding.
Achieves higher efficiency and compression in genome representation with fewer physical qubits.
Demonstrates the ability to create larger state spaces exponentially by using state encoding.
Highlights the complementary role of state encoding alongside traditional qubit-based methods.

Abstract

Quantum computing offers a new paradigm for representing biological information, emphasizing the richness of quantum states rather than the size of qubit registers. This paper introduces a conceptual framework for genome encoding that extends the pioneering work of Sergii Strelchuk and colleagues, who demonstrated genomic representation with large qubit registers. By leveraging compositional biases in plant viral genomes—particularly adenine–thymine (AT) and uracil–adenine (UA) predominance—state‑based encoding achieves efficiency, compression, fidelity, and scalability. As a case study, we examine the Narcissus degeneration virus (NDV), an RNA potyvirus, and demonstrate codon mapping, reverse translation, and nucleotide‑to‑qubit assignment implemented on IBMQ hardware. This approach shows how fewer physical qubits can generate exponentially larger state spaces, enabling modular genome partitions within hardware constraints. Rather than replacing qubit‑based methods, state encoding complements and extends them, offering a natural evolution that honors foundational achievements while opening pathways for collaborative exploration in quantum genomics.

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Cite This Study

EUGENIO VARGAS (Sat,) studied this question.

synapsesocial.com/papers/6a1d224302fbce91306380e8 https://doi.org/https://doi.org/10.5281/zenodo.20462211

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