activity
20162023
most citedExpectation Values from the Single-Layer Quantum Approximate Optimization Algorithm on Ising Problems

41 citations · 41 across the 2 of their papers we have counts for

collaborators

7 papers

quant-ph2023

Using Azure Quantum Resource Estimator for Assessing Performance of Fault Tolerant Quantum Computation

Wim van Dam, Mariia Mykhailova, Mathias Soeken

The resource estimation tools provided by Azure Quantum and Azure Quantum Development Kit are described. Using these tools one can automatically evaluate the logical and physical r…

quant-ph2021

Quantum Optimization Heuristics with an Application to Knapsack Problems

Wim van Dam, Karim Eldefrawy, Nicholas Genise +1

This paper introduces two techniques that make the standard Quantum Approximate Optimization Algorithm (QAOA) more suitable for constrained optimization problems. The first techniq…

quant-ph2020★ 41 cited

Expectation Values from the Single-Layer Quantum Approximate Optimization Algorithm on Ising Problems

Asier Ozaeta, Wim van Dam, Peter L. McMahon

We report on the energy-expectation-value landscapes produced by the single-layer () Quantum Approximate Optimization Algorithm (QAOA) when being used to solve Ising problems.…

quant-ph2018

Evolution-Time Dependence in Near-Adiabatic Quantum Evolutions

Lucas Brady, Wim van Dam

We expand upon the standard quantum adiabatic theorem, examining the time-dependence of quantum evolution in the near-adiabatic limit. We examine a Hamiltonian that evolves along s…

quant-ph2016

Necessary Adiabatic Run Times in Quantum Optimization

Lucas T. Brady, Wim van Dam

Quantum annealing is guaranteed to find the ground state of optimization problems in the adiabatic limit. Recent work [Phys. Rev. X 6, 031010 (2016)] has found that for some barrie…

quant-ph2016

Discrepancies between Asymptotic and Exact Spectral Gap Analyses of Quantum Adiabatic Barrier Tunneling

Lucas T. Brady, Wim van Dam

We study the asymptotic behavior of the spectral gap of simple barrier tunneling problems, which are related to using quantum annealing to find the global optimum of cost functions…