1 citations · 1 across the 2 of their papers we have counts for
5 papers
GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems
Zhihao Xu, Srikar Chundury, Seongmin Kim +6
Quantum computing holds great potential to accelerate the process of solving complex combinatorial optimization problems. The Distributed Quantum Approximate Optimization Algorithm…
Database and deep-learning scalability of anharmonic phonon properties by automated brute-force first-principles calculations
Masato Ohnishi, Tianqi Deng, Pol Torres +16
Understanding the anharmonic phonon properties of crystal compounds -- such as phonon lifetimes and thermal conductivities -- is essential for investigating and optimizing their th…
JAX-BTE: A GPU-Accelerated Differentiable Solver for Phonon Boltzmann Transport Equations
Wenjie Shang, Jiahang Zhou, J. P. Panda +5
This paper introduces JAX-BTE, a GPU-accelerated, differentiable solver for the phonon Boltzmann Transport Equation (BTE) based on differentiable programming. JAX-BTE enables accur…
Distributed Quantum Approximate Optimization Algorithm on a Quantum-Centric Supercomputing Architecture
Seongmin Kim, Vincent R. Pascuzzi, Zhihao Xu +3
Quantum approximate optimization algorithm (QAOA) has shown promise in solving combinatorial optimization problems by providing quantum speedup on near-term gate-based quantum comp…
Quantum-Inspired Genetic Algorithm for Designing Planar Multilayer Photonic Structure
Zhihao Xu, Wenjie Shang, Seongmin Kim +3
Quantum algorithms are emerging tools in the design of functional materials due to their powerful solution space search capability. How to balance the high price of quantum computi…