Scientists Encode 1,700-Base Hepatitis D Genome on IBM's 156-Qubit Quantum Computer
Updated
Updated · Livescience.com · Jun 10
Scientists Encode 1,700-Base Hepatitis D Genome on IBM's 156-Qubit Quantum Computer
2 articles · Updated · Livescience.com · Jun 10
Summary
Wellcome Sanger Institute researchers said they uploaded the full hepatitis D virus genome to IBM’s 156-qubit Heron processor, calling it the first time a real genome has been encoded on quantum hardware.
The Q4Bio challenge effort turned HDV’s roughly 1,700-nucleotide circular RNA into a quantum-compatible representation that quantum algorithms can prepare, manipulate and measure, rather than merely storing DNA letters.
HDV was chosen because its small but fast-mutating, structurally complex genome offers a clinically relevant test case; the team also said it has already shown sequence alignment, pangenome assembly and phylogenetic analysis on real quantum machines.
Researchers argue the approach could matter most for pangenomes, where adding many genomes drives combinatorial complexity that can overwhelm classical systems and some AI methods.
Practical use is still years away, but the team aims to build a service letting scientists upload genomic data and run classical, quantum or hybrid analyses for disease tracking and mutation discovery.
Quantum computers can now read a virus's genome. How does this actually help create new medicines?
As quantum computers decode life's secrets, who will control this powerful biological information?
If a rival team won the main prize, how significant is this quantum genomics 'first'?
World-First Quantum Encoding of Hepatitis D Genome: A Milestone for Quantum Bioinformatics and Genomic Medicine
Overview
In April 2026, an international team achieved a major milestone by successfully encoding the complete Hepatitis D virus genome—about 1,700 RNA bases—onto IBM’s 156-qubit Heron quantum processor. This breakthrough proved that real biological data can be translated into a format quantum computers can process, demonstrating the growing power of utility-scale quantum machines to tackle complex, real-world problems. The team developed and shared new quantum algorithms for assembling pangenomic data, setting the stage for further research in quantum genomics and showing that quantum technology can address challenges that overwhelm classical computers.