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20192025
most citedReverse Annealing for Nonnegative/Binary Matrix Factorization

50 citations · 253 across the 20 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

quant-ph2023★ 10 cited

JuliQAOA: Fast, Flexible QAOA Simulation

John Golden, Andreas Bärtschi, Daniel O'Malley +2

We introduce JuliQAOA, a simulation package specifically built for the Quantum Alternating Operator Ansatz (QAOA). JuliQAOA does not require a circuit-level description of QAOA pro…

quant-ph2023★ 4 cited

Hierarchical Multigrid Ansatz for Variational Quantum Algorithms

Christo Meriwether Keller, Stephan Eidenbenz, Andreas Bärtschi +3

Quantum computing is an emerging topic in engineering that promises to enhance supercomputing using fundamental physics. In the near term, the best candidate algorithms for achievi…

quant-ph2023★ 17 cited

Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs

Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio +2

We show through numerical simulation that the Quantum Approximate Optimization Algorithm (QAOA) for higher-order, random-coefficient, heavy-hex compatible spin glass Ising models h…

quant-ph2023

Addressing Quantum's "Fine Print": State Preparation and Information Extraction for Quantum Algorithms and Geologic Fracture Networks

Jessie M. Henderson, John Kath, John K. Golden +2

Quantum algorithms provide an exponential speedup for solving certain classes of linear systems, including those that model geologic fracture flow. However, this revolutionary gain…

quant-ph2023★ 1 cited

Lower bounds on the number of rounds of the quantum approximate optimization algorithm required for guaranteed approximation ratios

Naphan Benchasattabuse, Andreas Bärtschi, Luis Pedro García-Pintos +3

The quantum approximate optimization algorithm, also known in its generalization as the quantum alternating operator ansatz, (QAOA) is a heuristic hybrid quantum-classical algorith…

quant-ph2023★ 16 cited

High-Round QAOA for MAX -SAT on Trapped Ion NISQ Devices

Elijah Pelofske, Andreas Bärtschi, John Golden +1

The Quantum Alternating Operator Ansatz (QAOA) is a hybrid classical-quantum algorithm that aims to sample the optimal solution(s) of discrete combinatorial optimization problems.…

quant-ph2023★ 16 cited

The Quantum Alternating Operator Ansatz for Satisfiability Problems

John Golden, Andreas Bärtschi, Daniel O'Malley +1

We comparatively study, through large-scale numerical simulation, the performance across a large set of Quantum Alternating Operator Ansatz (QAOA) implementations for finding appro…