9 citations · 23 across the 6 of their papers we have counts for
11 papers · 1 filter
Quantum Optimization with Classical Chaos
Malick A. Gaye, Omar Shehab, Paraj Titum +1
The Quantum Approximate Optimization Algorithm (QAOA) is a powerful tool in solving various combinatorial problems such as Maximum Satisfiability and Maximum Cut. Hard computationa…
Quantum Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice
Rui-Hao Li, Hakan Doga, Bryan Raubenolt +16
In this work, we present the first implementation of the face-centered cubic (FCC) lattice model for protein structure prediction with a quantum algorithm. Our motivation to encode…
Sparse Non-Markovian Noise Modeling of Transmon-Based Multi-Qubit Operations
Yasuo Oda, Kevin Schultz, Leigh Norris +2
The influence of noise on quantum dynamics is one of the main factors preventing current quantum processors from performing accurate quantum computations. Sufficient noise characte…
A perspective on protein structure prediction using quantum computers
Hakan Doga, Bryan Raubenolt, Fabio Cumbo +5
Despite the recent advancements by deep learning methods such as AlphaFold2, \textit{in silico} protein structure prediction remains a challenging problem in biomedical research. W…
Towards quantum-enabled cell-centric therapeutics
Saugata Basu, Jannis Born, Aritra Bose +30
In recent years, there has been tremendous progress in the development of quantum computing hardware, algorithms and services leading to the expectation that in the near future qua…
Energy risk analysis with Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling
Kumar J. B. Ghosh, Kavitha Yogaraj, Gabriele Agliardi +6
We generalize the Approximate Quantum Compiling algorithm into a new method for CNOT-depth reduction, which is apt to process wide target quantum circuits. Combining this method wi…