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Opportunity
Why Rare Diseases
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Our Technology
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  • Home
  • Opportunity
  • Why Rare Diseases
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  • Our Technology
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  • Why Rare Diseases
  • Our Partners
  • Our Technology

Quantum-Enabled Network Optimization

Why Quantum

Clarity to conditions

Why Quantum

 Identifying digenic (two-gene) disease causes is the ideal case for quantum advantage. While classical search time grows quadratically ($O(N^2)$), our Grover-like search amplification achieves near-linear ($O(N)$) scaling.

156-qubits

Clarity to conditions

Why Quantum

 

Network Medicine Foundation
We map genomic variation onto the Protein-Protein Interaction (PPI) network to identify functional disease modules and candidate gene interactions.


Quantum Random Walks
We use quantum walk–based algorithms to explore large combinatorial gene-pair spaces within the disease network.


Signal Amplification
Quantum in

 

Network Medicine Foundation
We map genomic variation onto the Protein-Protein Interaction (PPI) network to identify functional disease modules and candidate gene interactions.


Quantum Random Walks
We use quantum walk–based algorithms to explore large combinatorial gene-pair spaces within the disease network.


Signal Amplification
Quantum interference effects help prioritize biologically meaningful regions of the network and highlight candidate pathogenic interactions.


Infrastructure
Developed within the Cleveland Clinic Quantum Catalyzer program with access to IBM’s 156-qubit Heron R2 quantum system.

Clarity to conditions

Clarity to conditions

Clarity to conditions

Understanding how genes interact within biological systems is one of the central challenges of modern biology.


At EntangleBio, we believe that combining systems biology with advanced computational technologies can help reveal the deeper structure of genetic disease.


Our long-term vision is to build a platform capable of systematically ident

Understanding how genes interact within biological systems is one of the central challenges of modern biology.


At EntangleBio, we believe that combining systems biology with advanced computational technologies can help reveal the deeper structure of genetic disease.


Our long-term vision is to build a platform capable of systematically identifying the network-level causes of rare diseases, opening new possibilities for diagnosis, research, and therapeutic development.

By making sense of the complexity hidden within genomic data, we aim to help bring clarity to conditions that have long remained unexplained.

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