2 citations · 2 across the 7 of their papers we have counts for
7 papers
Towards Natural Gas Contract Selection via Quantum-Guided Independent Set Reduction
Vivek Dixit, Vaibhaw Kumar, Kentaro Ohno +2
Selecting mutually compatible natural gas transportation contracts is a practically important optimization task in which operators must choose from many candidate agreements subjec…
A Quantum Approach to Stochastic Optimization in Insurance Underwriting
Mitchell Bordelon, Maurice Garfinkel, Vivek Dixit +7
The presence of stochastic elements in combinatorial optimization problems makes them particularly challenging, as such problems quickly become intractable for classical computers…
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…
Portfolio construction using a sampling-based variational quantum scheme
Gabriele Agliardi, Dimitris Alevras, Vaibhaw Kumar +5
The efficient and effective construction of portfolios that adhere to real-world constraints is a challenging optimization task in finance. We investigate a concrete representation…
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…