The Sanger Institute selected Quantinuum as a technology partner in their Wellcome Leap Quantum for Bio (Q4Bio) challenge bid, which is funding global research to apply quantum computing to genomics to overcome computational limits that persist even after 25 years of progress since the Human Genome Project. https://lnkd.in/gpT8rP3C
Quantinuum partners with Sanger Institute on Q4Bio challenge
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Genetic Algorithms Design Variational Ansatzes for High Expressibility and Shallow Depth Researchers develop a novel evolutionary algorithm that automatically designs quantum circuits with enhanced performance and reduced computational demands, overcoming a key limitation in the development of practical quantum computation #quantum #quantumcomputing #technology https://lnkd.in/e72YG7cd
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Quantum meets Genomics. The Sanger Institute has selected Quantinuum as a key partner in its bid for the Q4Bio challenge—an initiative led by the University of Oxford and backed by Wellcome Leap to push quantum computing into genomics. The goal? Process the full PhiX174 genome on a quantum computer—potentially a world-first in demonstrating quantum's practical value in biology. Backed by Quantinuum’s H2 system, the collaboration will explore how quantum algorithms can tackle genomic problems beyond the reach of classical machines. 🧬 This marks a critical step in quantum for biology—bringing together algorithmic innovation, next-gen hardware, and one of the most storied research institutions in genomics. Full article in comments. #QuantumComputing #Genomics #BioTech #Quantinuum #Q4Bio #SangerInstitute #ComputationalBiology #DeepTech
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Researchers at the University of Chicago have shown that enhanced yellow fluorescent protein (EYFP) can act as a quantum bit The approach introduces a genetically encodable quantum platform with potential applications in nanoscale biological sensing and quantum imaging #QuantumComputing #QuantumBiology #ProteinQubit https://lnkd.in/gR-56aAY
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The Wellcome Sanger Institute has chosen Quantinuum's quantum computer option to explore fresh solutions in complex genomics in a global triumph for Cambridge. It was 25 years ago that scientists accomplished a task likened to a biological moonshot: the sequencing of the entire human genome – led globally by The Sanger Institute. The Human Genome Project revealed a complete human blueprint comprising around three billion base pairs, the chemical building blocks of DNA. It led to breakthrough medical treatments, scientific discoveries, and a new understanding of the biological functions of our body. Thanks to technological advances in the quarter-century since, what took 13 years and cost $2.7 billion then can now be done in under 12 minutes for a few hundred dollars, Quantinuum reveals. Rajeeb Hazra, President and CEO of Quantinuum, said: “We were honoured to be selected by the Sanger Institute to partner in tackling some of the most complex challenges in genomics. By bringing the world’s highest performing quantum computers to this collaboration, we will help the team push the limits of genomics research with quantum algorithms and open new possibilities for health and medical science.” The seeds of the Quantinuum-Sanger Institute collaboration were sown in Cambridge at a round table on responsible computing staged in October 2024, hosted by Quantinuum and Business Weekly. Quantinuum, whose $10 billion valuation was confirmed today, sponsored the groundbreaking event held at the headquarters of law firm Mills & Reeve in Cambridge. The Sanger Institute unveiled its infant plans at that stage and superchip giant Arm talked about compute power with responsibility at the round table which involved University of Cambridge and University of Oxford academics and corporate trailblazers. Full article – https://lnkd.in/dqVQ_KZg
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🚀 Quantum Leap in BioTech! Researchers at the University of Chicago have discovered that enhanced yellow fluorescent protein (EYFP)—a molecule used widely in biology—can function as a quantum bit (qubit). 🧬 This breakthrough paves the way for genetically encodable quantum systems, opening doors to: 🧠 Quantum-biological sensing 🔬 Nanoscale quantum imaging 🧫 Living quantum sensors This could be the bridge between quantum computing and living systems — a massive shift in how we think about computation in biological environments. 🔗 Full article: https://lnkd.in/gM9prUaW #QuantumComputing #BioQuantum #CISO2AI #QuantumSensing #QuantumBiology #AuditSecIntel #DeepTech #FutureOfAI #QuantumComputing
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Everyone’s talking about GenAI, but quantum is a whole new level. Science has come such a long way. Read article below - from the Human Genome Project taking 13 years, to sequencing a genome (the complete set of genetic instructions for an organism) in just minutes today. Now, quantum computing is stepping in to tackle challenges even supercomputers struggle with. For eg, while regular computers check one answer at a time, quantum computers can explore many possibilities at once. It is like trying every key on a lock simultaneously. This leap could open up a whole new era for medicine and health research. P.S: For humans, the genome has about 3 billion DNA base pairs, arranged in 23 pairs of chromosomes. Unbelievable! Interesting read below. Ronitt Mehra
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In a first-of-its-kind breakthrough, researchers have turned a protein found in living cells into a functioning quantum bit, or qubit, the foundation of quantum technologies. The protein qubit can be used as a quantum sensor capable of detecting minute changes and ultimately offering unprecedented insight into biological processes. Beyond biology, protein qubits could also open new frontiers for advancing quantum technology itself. #scienceandtechnology #biology #quantum #quantumtechnology #qubits #scientificresearch #breakthrough #proteinqubit #bioqubits #quantumsensing #quantumfuture #futuretech #biotech #quantumphysics #biologicalqubit #UChicagoPME #worldfirst #spinqubit #quantummaterials #healthtech
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Quantum computing may have just taken a leap into the living world. Researchers have shown that enhanced yellow fluorescent protein (EYFP), a staple in biological imaging, can act as a quantum bit, or qubit, not just in purified samples but inside mammalian and bacterial cells. That’s a staggering shift. It means quantum behavior isn’t confined to sterile labs or exotic materials anymore. It’s happening inside the messy, dynamic environment of biology, with implications for sensing, imaging, and computation at the molecular level. What makes EYFP truly remarkable isn’t just its quantum properties, it’s that it can be genetically encoded. Unlike superconducting circuits, EYFP qubits can be inserted into cells using standard genetic engineering techniques, allowing scientists to build quantum systems from the inside out. While these protein-based qubits aren’t ready to replace today’s quantum processors, they offer a radically different path forward. This could be the beginning of hybrid platforms where biology and quantum logic co-evolve. Worth keeping an eye on. #QuantumBiology #BiotechInnovation #QuantumComputing #SyntheticBiology #MolecularEngineering #FutureOfScience #GeneticEngineering
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A new approach to computing genetic minimal cut sets replaces MILP with linear programming, significantly reducing runtime while maintaining accuracy. The method introduces k-representative subsets to streamline analysis of genome-scale metabolic models and has been benchmarked across E. coli and human GEMs. Explore the full study in Bioinformatics Advances: https://lnkd.in/grdkhXBt
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Excited to share our latest publication! Our paper, "Quantum enabled protein folding of disordered regions in Ubiquitin C via error mitigated VQE benchmarked on Tensor Network Simulator and Aria 1," in Q-2 has just been published in IEEE/ACM Transactions on Computational Biology and Bioinformatics! Read it here: https://lnkd.in/gQAAmQYQ In this work, we address one of the most challenging problems in computational biology: protein folding in intrinsically disordered regions. By integrating molecular dynamics with an error-mitigated Variational Quantum Eigensolver (VQE), we demonstrate a first-of-its-kind hybrid classical–quantum approach. Key highlights: Tackles disordered regions in Ubiquitin C Leverages tensor network simulations alongside real hardware (Aria 1) Provides a pathway for the “best of both worlds” in quantum and classical computing for biomolecular research This study marks an important step towards demonstrating quantum utility in real-world biological problems. MIT Vishwaprayag University #QuantumComputing #ProteinFolding #ComputationalBiology #QuantumChemistry #HybridComputing #VariationalQuantumEigensolver #MolecularDynamics #QuantumBiology #QuantumUtility #Bioinformatics
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