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Pauli Correlation Encoding for mRNA Secondary Structure Prediction: Problem-Aware Decoding for Dense-Constraint QUBOs
Triet Friedhoff, Mihir Metkar, Wade Davis +2
Pauli Correlation Encoding (PCE) compresses binary variables onto qubits by mapping them to commuting Pauli correlators, but its continuous expectation values mu…
Co-optimization of codon usage and mRNA secondary structure using quantum computing
Dimitris Alevras, Mihir Metkar, Triet Friedhoff +5
Co-optimizing mRNA sequences for both codon optimality and secondary structure is crucial for producing stable and efficacious mRNA therapeutics. Codon optimization, which adjusts…
Towards secondary structure prediction of longer mRNA sequences using a quantum-centric optimization scheme
Vaibhaw Kumar, Dimitris Alevras, Mihir Metkar +9
Accurate prediction of mRNA secondary structure is critical for understanding gene expression, translation efficiency, and advancing mRNA-based therapeutics. However, the combinato…
mRNA secondary structure prediction using utility-scale quantum computers
Dimitris Alevras, Mihir Metkar, Takahiro Yamamoto +7
Recent advancements in quantum computing have opened new avenues for tackling long-standing complex combinatorial optimization problems that are intractable for classical computers…