2 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
Quantum Multiple Kernel Learning in Financial Classification Tasks
Shungo Miyabe, Brian Quanz, Noriaki Shimada +11
Financial services is a prospect industry where unlocked near-term quantum utility could yield profitable potential, and, in particular, quantum machine learning algorithms could p…