The Wellcome Sanger Institute has teamed up with Quantinuum, the world’s largest quantum computing firm led by CEO Rajeeb Hazra, to tackle computational challenges in genomics through the Wellcome Leap Quantum for Bio (Q4Bio) challenge. The collaboration, led by the University of Oxford and supported by the Universities of Cambridge, Melbourne, and Kyiv Academic University, aims to encode and process a full genome—specifically the bacteriophage PhiX174—on a quantum computer within a year. Quantinuum’s System H2, which holds the global Quantum Volume record of 8,388,608 as of May 2025, will provide the hardware and expertise, showcasing quantum computing’s potential for real-world genomic applications beyond the capabilities of classical computers.

Figure 1. Quantinuum & Sanger Institute Team Up to Encode Genome on Quantum Computer

Quantum Computing Paves the Way for Genomics

The Wellcome Leap Quantum for Bio (Q4Bio) challenge is funding research to develop quantum algorithms aimed at overcoming computational bottlenecks and testing the limits of classical computational genetics over the next 3–5 years. A consortium led by the University of Oxford, with support from the Wellcome Sanger Institute and the Universities of Cambridge, Melbourne, and Kyiv Academic University, is spearheading efforts to perform genomic processing for complex and variable genomes beyond the reach of current classical computers. Figure 1 shows Quantinuum & Sanger Institute Team Up to Encode Genome on Quantum Computer.

Earlier this year, the Wellcome Sanger Institute chose Quantinuum as its technology partner for the Q4Bio challenge, leveraging System H2, which holds the global Quantum Volume record of 8,388,608 as of May 2025 and demonstrates leading qubit fidelity. This partnership enables the research team to access Quantinuum’s full-stack capabilities, including hardware, software, and expertise in quantum algorithm development.

The consortium has set a key goal for the next year: to encode and process an entire genome on a quantum computer, potentially achieving a world-first and demonstrating quantum computing’s readiness for real-world applications. The selected genome is the bacteriophage PhiX174, notable for earning Fred Sanger his second Nobel Prize in Chemistry in 1980. Successfully encoding this genome quantum mechanically would mark a major milestone for genomics and quantum computing, paving the way for advances in Quantum Pangenomics.

Rajeeb Hazra, President and CEO of Quantinuum, expressed honor in partnering on this complex genomics challenge, bringing the company’s top-performing quantum computers to the effort and unlocking new possibilities for health and medical science. Ilyas Khan, Founder and Chief Product Officer, added that quantum computational biology has long inspired Quantinuum due to its potential to transform global health and enable longer, healthier lives.

Pushing Beyond Classical Computing Limits

The Wellcome Leap Quantum for Bio (Q4Bio) challenge is pushing the frontiers of genomics by funding research to develop quantum algorithms capable of overcoming current computational bottlenecks and testing the limits of classical computational genetics over the next 3–5 years. A consortium led by the University of Oxford, with support from the Wellcome Sanger Institute and the Universities of Cambridge, Melbourne, and Kyiv Academic University, is spearheading this effort.

The initiative aims to process complex and variable genomes beyond the reach of classical computers, potentially setting new standards in Quantum Pangenomics. This work builds on decades of progress in genomic sequencing, which has advanced from taking 13 years and $2.7 billion to completing the same tasks in under 12 minutes at a fraction of the cost.

Q4Bio Challenge and Strategic Collaborations

The consortium has set an ambitious goal for the coming year: to encode and process an entire genome on a quantum computer, potentially achieving a world-first and demonstrating quantum computing’s readiness for practical applications. The selected genome, bacteriophage PhiX174, is historically significant, as its sequencing earned Fred Sanger his second Nobel Prize in Chemistry in 1980. Successfully processing this genome quantum mechanically would mark a major milestone for both genomics and quantum computing.

Earlier this year, the Sanger Institute chose Quantinuum as its technology partner for the Q4Bio challenge. Quantinuum’s System H2 leads in qubit fidelity and holds the global Quantum Volume record of 8,388,608 as of May 2025. The partnership allows the research team to leverage Quantinuum’s full-stack capabilities, encompassing hardware, software, and expertise in quantum algorithm development. Building on decades of progress, where genomic sequencing has advanced from 13 years and $2.7 billion to under 12 minutes at minimal cost, the initiative aims to set new benchmarks in Quantum Pangenomics.

Quantum Encoding Reaches a Genomic Milestone

The Wellcome Leap Quantum for Bio (Q4Bio) challenge is driving innovation in genomics by funding research to develop quantum algorithms that can overcome current computational bottlenecks and push the limits of classical computational genetics over the next 3–5 years. A consortium led by the University of Oxford, with support from the Wellcome Sanger Institute and the Universities of Cambridge, Melbourne, and Kyiv Academic University, is spearheading this effort.

Rajeeb Hazra, President and CEO of Quantinuum, expressed pride in partnering on this complex genomics initiative, bringing the company’s top-performing quantum computers to advance health and medical science. Ilyas Khan, Founder and Chief Product Officer, noted that quantum computational biology has long inspired Quantinuum due to its potential to transform global health and enable people worldwide to live longer, healthier, and more dignified lives.

References:

1. https://quantumzeitgeist.com/quantinuum-partners-sanger-institute-to-encode-genome-on-quantum-computer/

Cite this article:

Janani R (2025), Quantinuum Teams with Sanger Institute to Encode Genome on Quantum Computer, AnaTechMaz, pp.365