- Complete hepatitis D genome encoded into quantum processor as proof-of-concept milestone
- Researchers target future 100x speedups for complex human whole genome analysis tasks
- Researchers caution that practical quantum genomics still faces scaling and hardware limitations
Scientists have loaded a complete genome onto a quantum computer for the first time, taking an early step toward tackling 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 Hepatitis D virus genome into quantum hardware.
The Hep D virus carries a compact genome of about 1,700 base pairs, making it suitable as a proof-of-concept target.
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Compressing genetic information into quantum states
Researchers used the smaller data set to test whether real biological data could be translated into a format that quantum machines can handle.
The genome was loaded onto an IBM quantum computer using its 156-qubit Heron processor.
Successful encoding of the sequence required compressing the genetic information into quantum states that could fit within available qubit boundaries.
Traditional computers have struggled to keep up with the increase in genomic data, creating processing bottlenecks that limit how quickly scientists can analyze variation across populations. The move toward pangenomes, which combine sequences from many individuals, adds further complexity.
Rather than relying on a single reference sequence, pangenomes branch into multiple pathways that represent genetic diversity. Finding useful patterns inside these branching paths quickly becomes computationally demanding, especially as datasets 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, the 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 ordinary tools, such as classical computers, just get hopelessly stuck.”
Quantum computing offers a possible way forward by representing many possible outcomes at once within qubit states. This ability could allow certain genomic calculations to run much faster than classical approaches.
Researchers involved in the project are aiming for a future benchmark for processing full human pangenomes up to 100 times faster than traditional tools. The hepatitis D test doesn’t deliver that speed itself, but demonstrates a path toward achieving quantum benefits at larger scales.
Some scientists remain cautious about how quickly this transition might occur. As Science.org reports, until quantum systems handle larger genomes and perform full analyses, it remains to be seen whether they will outperform well-established classical methods.
Even with these limits, loading a complete genome into quantum hardware marks an impressive technical milestone. The next phase focuses on scaling the approach and turning experimental workflows into tools that other researchers can use.
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