- Whole Hepatitis D Genome Encoded on Quantum Processor as Proof-of-Concept Milestone
- Researchers aim for future 100x speedups for complex human pangenome analysis tasks
- Scientists warn that practical quantum genomics still faces scale and hardware limitations
Scientists have loaded an entire genome into a quantum computer for the first time, taking a first step toward solving biological problems that easily overwhelm traditional systems.
In time for World Quantum Day, teams from the Wellcome Sanger Institute and the universities of Oxford, Cambridge and Melbourne encoded the entire genome of the hepatitis D virus on quantum hardware.
Hepatitis D virus carries a compact genome of approximately 1,700 base pairs, making it suitable as a proof-of-concept target.
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Compress genetic information into quantum states
The researchers used the smaller data set to test whether real biological data could be translated into a format that quantum machines could handle.
The genome was uploaded to an IBM quantum computer using its 156-qubit Heron processor.
Successfully encoding the sequence required compressing the genetic information into quantum states that could fit within the available qubit limits.
Traditional computers have struggled to keep up with the growth of genomic data, creating processing bottlenecks that limit how quickly scientists can analyze variation among populations. The move toward pangenomes, which combine sequences from many individuals, adds additional complexity.
Rather than relying on a single reference sequence, pangenomes branch into multiple pathways that represent genetic diversity. Finding useful patterns within those branching paths quickly becomes computationally demanding, especially as data sets grow.
“Our goal has always been to push the boundaries of what is possible in genomics,” said Dr. Sergii Strelchuk of the University of Oxford. “When we work with pangenomes, information is presented in the form of a tangled maze, but we are building quantum algorithms to help find the best path through this maze when usual tools, such as classical computers, simply get hopelessly stuck.”
Quantum computing offers a possible way forward by representing many possible outcomes at once within qubit states. That capability could allow certain genomic calculations to run much faster than classical approaches.
Researchers involved in the project are aiming for a future benchmark: processing entire human pangenomes up to 100 times faster than traditional tools. The hepatitis D test does not offer that speed in itself, but it demonstrates a path toward achieving quantum advantage on larger scales.
Some scientists are cautious about how quickly that transition could occur. As Science.org reports, until quantum systems handle larger genomes and perform comprehensive analyses, it is unknown whether they will outperform well-established classical methods.
Even with those limits, loading an entire genome onto quantum hardware marks an impressive technical milestone. The next phase focuses on expanding the approach and turning experimental workflows into tools that other researchers can use.
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