Results 101 to 110 of about 4,386 (222)

Clifford Accelerated Adaptive QAOA

Clifford Circuit Initializaton improves on initial guess of parameters on Parametric Quantum Circuits (PQCs) by leveraging efficient simulation of circuits made out of gates from the Clifford Group. The parameter space is pre-optimized by exploring the Hilbert space in a reduced ensemble of Clifford-expressible points (Clifford Points), providing ...
Lisart-Liebermann, Théo, Medina, Arcesio Castañeda   +1 more
openaire   +2 more sources

Data from "QAOA with N · p ≥ 200"

, 2023
v2 includes additional experiments on H2 device with up to 32 ...
Shaydulin, Ruslan, Pistoia, Marco
openaire   +1 more source

Extrapolation method to optimize linear-ramp QAOA parameters: Evaluation of QAOA runtime scaling

14 pages, 15 ...
Dehn, Vanessa, Zaefferer, Martin, Hellstern, Gerhard, Reiter, Florentin, Wellens, Thomas   +4 more
openaire   +2 more sources

Prog-QAOA: Framework for resource-efficient quantum optimization through classical programs [PDF]

Quantum
Current state-of-the-art quantum optimization algorithms require representing the original problem as a binary optimization problem, which is then converted into an equivalent cost Hamiltonian suitable for the quantum device.
Bence Bakó, Adam Glos, Özlem Salehi, Zoltán Zimborás   +3 more
doaj   +1 more source

Recursive QAOA outperforms the original QAOA for the MAX-CUT problem on complete graphs

Quantum Information Processing
8 pages, 1 ...
Eunok Bae, Soojoon Lee
openaire   +2 more sources

Parameter initialization for warm-starting QAOA

, 2022
Der Quantum Approximate Optimization Algorithm (QAOA) ist ein vielversprechender Kandidat für Quantenüberlegenheit auf Near-Term-Hardware. Warm-started QAOA (WS-QAOA) ist eine verbesserte Version von QAOA. Diese nutzt für das vorliegende Problem eine vorberechnete approximative Lösung, welche effizient auf klassischer Hardware bestimmt wird.
openaire   +3 more sources

Multi-round QAOA and advanced mixers on a trapped-ion quantum computer [PDF]

, 2022
Yingyue Zhu, Zewen Zhang, Bhuvanesh Sundar, Alaina Green, C. Huerta Alderete, Nhung H. A. Nguyen, Kaden R. A. Hazzard, Norbert M. Linke   +7 more
openalex   +1 more source

Benchmarking QAOA through Maximum Cardinality Matching

, 2022
Benchmarking QAOA through Maximum Cardinality ...
Gilbert, Valentin, Sirdey, Renaud, Louise, Stéphane   +2 more
openaire   +1 more source

Scaling whole-chip QAOA for higher-order ising spin glass models on heavy-hex graphs

npj Quantum Information
We show that the quantum approximate optimization algorithm (QAOA) for higher-order, random coefficient, heavy-hex compatible spin glass Ising models has strong parameter concentration across problem sizes from 16 up to 127 qubits for p = 1 up to p = 5 ...
Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio, John Golden, Stephan Eidenbenz   +4 more
doaj   +1 more source

Exploring Network-Related Optimization Problems Using Quantum Heuristics [PDF]

Network-related connectivity optimization problems are underlying a wide range of applications and are also of high computational complexity. We consider studying network optimization problems using two types of quantum heuristics.One is quantum ...
Adnane, Mustafa, Hadfield, Stuart A., Mengoni, Riccardo, O'Gorman, Bryan A., Rieffel, Eleanor G., Venturelli, Davide, Wang, Zhihui   +6 more
core   +1 more source