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20242026
most citedmRNA secondary structure prediction using utility-scale quantum computers

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2026

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…

physics.chem-ph2025

Sample-based Quantum Diagonalization Methods for Modeling the Photochemistry of Diazirine and Diazo Compounds

Saurabh Shivpuje, Tanvi P. Gujarati, Richard Van +6

Diazirines and diazo compounds are widely employed as photoreactive precursors for generating carbenes, key intermediates in chemical biology and materials science. However, comput…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2024★ 2 cited

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…