
Utility-Scale QAOA | IBM Quantum Learning
The optimization problem of interest today is called Max-Cut, which we're going to solve using an algorithm called Quantum Approximate Optimization Algorithm (QAOA). What is Max-Cut? We …
QAOA (v0.25) | IBM Quantum Documentation
QAOA is a well-known algorithm for finding approximate solutions to combinatorial-optimization problems. The QAOA implementation directly extends VQE and inherits VQE’s optimization …
QAOA (v0.40) - IBM Quantum Documentation
The Quantum Approximate Optimization Algorithm (QAOA). QAOA is a well-known algorithm for finding approximate solutions to combinatorial-optimization problems [1]. The QAOA …
[2301.00520] Quantum Annealing vs. QAOA: 127 Qubit Higher …
2023年1月2日 · Quantum annealing (QA) and Quantum Alternating Operator Ansatz (QAOA) are both heuristic quantum algorithms intended for sampling optimal solutions of combinatorial …
Max-cut Clustering Utilizing Warm-Start QAOA and IBM Runtime
2021年8月30日 · This research tests the "Warm Start" variant of Quantum Approximate Optimization Algorithm (QAOA) versus the standard implementation of QAOA for unstructured …
量子 | IBM
量子近似优化算法 (qaoa) 了解如何使用 Qiskit Runtime 原语来实现 QAOA 算法,从而解决简单的最大割问题。 CHSH 不等式
Short-depth QAOA circuits and quantum annealing on higher
2024年3月12日 · Quantum Annealing on D-Wave clearly outperforms QAOA on the ibm_washington. In particular, QA finds significantly better minimum energy solutions as well …
Scaling whole-chip QAOA for higher-order ising spin glass
2024年11月6日 · Matrix product state (MPS) simulation is used to compute noise-free QAOA performance. Hardware-compatible short-depth QAOA circuits are executed on ensembles of …
qiskit - Solving a TSP using QAOA - Quantum Computing Stack …
2024年11月3日 · I am reading the QAOA applications and trying the tutorial https://learning.quantum.ibm.com/tutorial/quantum-approximate-optimization-algorithm. I want …
QAOA MaxCut IBM Qiskit Example - Quantum Computing Stack …
2022年10月13日 · To increase the accuracy of your algorithm you should consider adding more layers to your QAOA circuit by increasing the value of $p$. Running your code with $p=3$ …
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