26 citations · 29 across the 7 of their papers we have counts for
8 papers
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…
Evaluating Sample-Based Krylov Quantum Diagonalization for Heisenberg Models with Applications to Materials Science
Roman Firt, Neel Misciasci, Jonathan E. Mueller +4
We evaluate the Sample-based Krylov Quantum Diagonalization (SKQD) algorithm on one- and two-dimensional Heisenberg models, including strongly correlated regimes in which the groun…
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…
Quantum-centric simulation of hydrogen abstraction by sample-based quantum diagonalization and entanglement forging
Tyler Smith, Tanvi P. Gujarati, Mario Motta +11
The simulation of electronic systems is an anticipated application for quantum-centric computers, i.e. heterogeneous architectures where classical and quantum processing units oper…
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 Computation of Reactions on Surfaces Using Local Embedding
Tanvi P. Gujarati, Mario Motta, Triet Nguyen Friedhoff +9
Modeling electronic systems is an important application for quantum computers. In the context of materials science, an important open problem is the computational description of ch…