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20182021
most citedComparison of QAOA with Quantum and Simulated Annealing

33 citations · 67 across the 3 of their papers we have counts for

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8 papers · 1 filter

quant-ph20211 cited

Towards the Simulation of Large Scale Protein-Ligand Interactions on NISQ-era Quantum Computers

Fionn D. Malone, Robert M. Parrish, Alicia R. Welden +6

We explore the use of symmetry-adapted perturbation theory (SAPT) as a simple and efficient means to compute interaction energies between large molecular systems with a hybrid meth…

quant-ph202033 cited

Quantum algorithms with local particle number conservation: noise effects and error correction

Michael Streif, Martin Leib, Filip Wudarski +2

Quantum circuits with local particle number conservation (LPNC) restrict the quantum computation to a subspace of the Hilbert space of the qubit register. In a noiseless or fault-t…

quant-ph2020

Forbidden subspaces for level-1 QAOA and IQP circuits

Michael Streif, Martin Leib

We present a thorough investigation of problems that can be solved exactly with the level-1 Quantum Approximate Optimization Algorithm (QAOA). To this end we implicitly define a cl…

quant-ph2020

Quantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor

Matthew P. Harrigan, Kevin J. Sung, Matthew Neeley +83

We demonstrate the application of the Google Sycamore superconducting qubit quantum processor to combinatorial optimization problems with the quantum approximate optimization algor…

quant-ph2019

Training the Quantum Approximate Optimization Algorithm without access to a Quantum Processing Unit

Michael Streif, Martin Leib

In this paper, we eliminate the classical outer learning loop of the Quantum Approximate Optimization Algorithm (QAOA) and present a strategy to find good parameters for QAOA based…

quant-ph201933 cited

Comparison of QAOA with Quantum and Simulated Annealing

Michael Streif, Martin Leib

We present a comparison between the Quantum Approximate Optimization Algorithm (QAOA) and two widely studied competing methods, Quantum Annealing (QA) and Simulated Annealing (SA).…