Maximum contraction width for simulating energy using the QTensor
Maximum contraction width for simulating energy using the QTensor
Download scientific diagram | Maximum contraction width for simulating energy using the QTensor simulator. The x-axis shows the size of a random d-regular graph used to generate MaxCut QAOA p = 1 circuits. The shaded region shows the standard deviation over 80 random graphs for each size. from publication: Transferability of optimal QAOA parameters between random graphs | The Quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. In a typical QAOA setup, a set of quantum circuit parameters is optimized to prepare a quantum | Random Graphs, Transfer (Psychology) and Transfer | ResearchGate, the professional network for scientists.
Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs – arXiv Vanity
Fast Simulation of High-Depth QAOA Circuits
Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs – arXiv Vanity
Efficient parallelization of tensor network contraction for simulating quantum computation
On the simulation of nematic liquid crystalline flows in a 4:1 planar contraction using the Leslie–Ericksen and Beris–Edwards models - ScienceDirect
On the simulation of nematic liquid crystalline flows in a 4:1 planar contraction using the Leslie–Ericksen and Beris–Edwards models - ScienceDirect
Maximum contraction width for simulating energy using the QTensor
Breakdown of total contraction time by bucket width in full expectation
Nematic Colloidal Micro‐Robots as Physically Intelligent Systems - Yao - 2022 - Advanced Functional Materials - Wiley Online Library
