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Solving Set Cover with Pairs Problem using Quantum Annealing

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11526216openalex-snapshot
Quantum Annealing and Other Optimization Methods
inferredcites →https://doi.org/10.1007/11590156_13openalex-snapshot
The Set Cover with Pairs Problem
inferredcites →https://doi.org/10.1007/978-1-4684-2001-2_9openalex-snapshot
Reducibility among Combinatorial Problems
inferredcites →https://doi.org/10.1007/978-3-031-02518-1openalex-snapshot
Adiabatic Quantum Computation and Quantum Annealing
inferredcites →https://doi.org/10.1007/s11128-008-0082-9openalex-snapshot
Minor-embedding in adiabatic quantum computation: I. The parameter setting problem
inferredcites →https://doi.org/10.1007/s11128-010-0200-3openalex-snapshot
Minor-embedding in adiabatic quantum computation: II. Minor-universal graph design
inferredcites →https://doi.org/10.1007/s11128-013-0683-9openalex-snapshot
Adiabatic quantum programming: minor embedding with hard faults
inferredcites →https://doi.org/10.1007/s11590-011-0289-zopenalex-snapshot
Exact and heuristic approaches for the set cover with pairs problem
inferredcites →https://doi.org/10.1016/0009-2614(94)00117-0openalex-snapshot
Quantum annealing: A new method for minimizing multidimensional functions
inferredcites →https://doi.org/10.1016/j.amc.2011.04.073openalex-snapshot
Haplotyping populations by pure parsimony based on compatible genotypes and greedy heuristics
inferredcites →https://doi.org/10.1016/j.cpc.2015.02.015openalex-snapshot
Optimised simulated annealing for Ising spin glasses
inferredcites →https://doi.org/10.1016/j.physrep.2012.10.002openalex-snapshot
The quantum adiabatic algorithm applied to random optimization problems: The quantum spin glass perspective
inferredcites →https://doi.org/10.1038/nature10012openalex-snapshot
Quantum annealing with manufactured spins
inferredcites →https://doi.org/10.1038/ncomms2920openalex-snapshot
Thermally assisted quantum annealing of a 16-qubit problem
inferredcites →https://doi.org/10.1038/ncomms3067openalex-snapshot
Experimental signature of programmable quantum annealing
inferredcites →https://doi.org/10.1038/nphys2900openalex-snapshot
Evidence for quantum annealing with more than one hundred qubits
inferredcites →https://doi.org/10.1038/srep00571openalex-snapshot
Finding low-energy conformations of lattice protein models by quantum annealing
inferredcites →https://doi.org/10.1038/srep05703openalex-snapshot
Hearing the Shape of the Ising Model with a Programmable Superconducting-Flux Annealer
inferredcites →https://doi.org/10.1038/srep18628openalex-snapshot
Determination and correction of persistent biases in quantum annealers
inferredcites →https://doi.org/10.1038/srep22318openalex-snapshot
Maximum-Entropy Inference with a Programmable Annealer
inferredcites →https://doi.org/10.1088/0305-4470/15/10/028openalex-snapshot
On the computational complexity of Ising spin glass models
inferredcites →https://doi.org/10.1088/1367-2630/16/4/045006openalex-snapshot
Max 2-SAT with up to 108 qubits
inferredcites →https://doi.org/10.1103/physreva.65.042308openalex-snapshot
Quantum search by local adiabatic evolution
inferredcites →https://doi.org/10.1103/physreva.77.052331openalex-snapshot
Nonperturbative k -body to two-body commuting conversion Hamiltonians and embedding problem instances into Ising spins
inferredcites →https://doi.org/10.1103/physreva.86.042310openalex-snapshot
Solving the graph-isomorphism problem with a quantum annealer
inferredcites →https://doi.org/10.1103/physreva.89.022342openalex-snapshot
Graph isomorphism and adiabatic quantum computing
inferredcites →https://doi.org/10.1103/physreva.90.042317openalex-snapshot
Quantum and classical dynamics in adiabatic computation
inferredcites →https://doi.org/10.1103/physreva.91.042314openalex-snapshot
Consistency tests of classical and quantum models for a quantum annealer
inferredcites →https://doi.org/10.1103/physreva.92.042310openalex-snapshot
Quantum annealing correction with minor embedding
inferredcites →https://doi.org/10.1103/physreva.92.042325openalex-snapshot
Probing for quantum speedup in spin-glass problems with planted solutions
inferredcites →https://doi.org/10.1103/physreva.92.062328openalex-snapshot
Reexamination of the evidence for entanglement in a quantum annealer
inferredcites →https://doi.org/10.1103/physrevb.82.024511openalex-snapshot
Experimental investigation of an eight-qubit unit cell in a superconducting optimization processor
inferredcites →https://doi.org/10.1103/physreve.58.5355openalex-snapshot
Quantum annealing in the transverse Ising model
inferredcites →https://doi.org/10.1103/physrevlett.101.220405openalex-snapshot
Quantum Adiabatic Algorithm for Factorization and Its Experimental Implementation
inferredcites →https://doi.org/10.1103/physrevlett.108.010501openalex-snapshot
Ramsey Numbers and Adiabatic Quantum Computing
inferredcites →https://doi.org/10.1103/physrevlett.108.230506openalex-snapshot
Adiabatic Quantum Algorithm for Search Engine Ranking
inferredcites →https://doi.org/10.1103/physrevlett.109.050501openalex-snapshot
Quantum Speedup by Quantum Annealing
inferredcites →https://doi.org/10.1103/physrevlett.111.130505openalex-snapshot
Experimental Determination of Ramsey Numbers
inferredcites →https://doi.org/10.1103/physrevlett.115.230501openalex-snapshot
Heavy Tails in the Distribution of Time to Solution for Classical and Quantum Annealing
inferredcites →https://doi.org/10.1103/physrevx.4.021041openalex-snapshot
Entanglement in a Quantum Annealing Processor
inferredcites →https://doi.org/10.1103/physrevx.5.031026openalex-snapshot
Seeking Quantum Speedup Through Spin Glasses: The Good, the Bad, and the Ugly
inferredcites →https://doi.org/10.1103/physrevx.5.031040openalex-snapshot
Quantum Optimization of Fully Connected Spin Glasses
inferredcites →https://doi.org/10.1103/revmodphys.80.1061openalex-snapshot
Colloquium : Quantum annealing and analog quantum computation
inferredcites →https://doi.org/10.1126/science.1057726openalex-snapshot
A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem
inferredcites →https://doi.org/10.1126/science.1068774openalex-snapshot
Theory of Quantum Annealing of an Ising Spin Glass
inferredcites →https://doi.org/10.1126/science.1252319openalex-snapshot
Defining and detecting quantum speedup
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
inferredcites →https://doi.org/10.1126/science.aaa4170openalex-snapshot
Quantum versus classical annealing of Ising spin glasses
inferredcites →https://doi.org/10.1137/1.9781611972917.7openalex-snapshot
Disjoint-Path Facility Location: Theory and Practice
inferredcites →https://doi.org/10.1140/epjst/e2015-02346-0openalex-snapshot
Reexamining classical and quantum models for the D-Wave One processor
inferredcites →https://doi.org/10.1145/1806689.1806711openalex-snapshot
BQP and the polynomial hierarchy
inferredcites →https://doi.org/10.1145/2482767.2482797openalex-snapshot
Experimental evaluation of an adiabiatic quantum system for combinatorial optimization
inferredcites →https://doi.org/10.1287/ijoc.1040.0085openalex-snapshot
Haplotyping Populations by Pure Parsimony: Complexity of Exact and Approximation Algorithms
inferredcites →https://doi.org/10.26421/qic2.3-1openalex-snapshot
Finding cliques by quantum adiabatic evolution
inferredcites →https://doi.org/10.3389/fphy.2014.00005openalex-snapshot
Ising formulations of many NP problems
inferredcites →https://doi.org/10.3389/fphy.2014.00056openalex-snapshot
Discrete optimization using quantum annealing on sparse Ising models
inferredcites →https://doi.org/10.48550/arxiv.0811.0416openalex-snapshot
Training a Binary Classifier with the Quantum Adiabatic Algorithm
inferredcites →https://doi.org/10.48550/arxiv.1004.2226openalex-snapshot
Adiabatic Quantum Algorithms for the NP-Complete Maximum-Weight Independent Set, Exact Cover and 3SAT Problems
inferredcites →https://doi.org/10.48550/arxiv.1306.1202openalex-snapshot
A note on QUBO instances defined on Chimera graphs
inferredcites →https://doi.org/10.48550/arxiv.1401.7087openalex-snapshot
How "Quantum" is the D-Wave Machine?
inferredcites →https://doi.org/10.48550/arxiv.1401.7320openalex-snapshot
Different Strategies for Optimization Using the Quantum Adiabatic Algorithm
inferredcites →https://doi.org/10.48550/arxiv.1410.2628openalex-snapshot
Algorithm engineering for a quantum annealing platform
inferredcites →https://doi.org/10.48550/arxiv.1501.06914openalex-snapshot
Entanglement as a resource in adiabatic quantum optimization
inferredcites →https://doi.org/10.48550/arxiv.quant-ph/0007071openalex-snapshot
A Numerical Study of the Performance of a Quantum Adiabatic Evolution Algorithm for Satisfiability
inferredcites →https://doi.org/10.48550/arxiv.quant-ph/0201031openalex-snapshot
Quantum Adiabatic Evolution Algorithms versus Simulated Annealing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/qute.202300104openalex-snapshot
Quantum Annealing with Inequality Constraints: The Set Cover Problem
inferred← citeshttps://doi.org/10.1007/978-3-030-50433-5_41openalex-snapshot
A Hybrid Solution Method for the Multi-Service Location Set Covering Problem
inferred← citeshttps://doi.org/10.1007/978-3-030-77980-1_3openalex-snapshot
Multimodal Container Planning: A QUBO Formulation and Implementation on a Quantum Annealer
inferred← citeshttps://doi.org/10.1007/s11128-022-03476-yopenalex-snapshot
Benchmarking Advantage and D-Wave 2000Q quantum annealers with exact cover problems
inferred← citeshttps://doi.org/10.1007/s11265-018-1357-8openalex-snapshot
Finding Maximum Cliques on the D-Wave Quantum Annealer
inferred← citeshttps://doi.org/10.1007/s42484-026-00411-7openalex-snapshot
Network-based prediction of drug combinations with quantum annealing
inferred← citeshttps://doi.org/10.1016/j.cpc.2022.108411openalex-snapshot
GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
inferred← citeshttps://doi.org/10.1038/s41598-021-00339-xopenalex-snapshot
Prime factorization using quantum variational imaginary time evolution
inferred← citeshttps://doi.org/10.1103/revmodphys.90.015002openalex-snapshot
Adiabatic quantum computation
inferred← citeshttps://doi.org/10.1109/access.2022.3188117openalex-snapshot
Implementation of Quantum Annealing: A Systematic Review
inferred← citeshttps://doi.org/10.1109/access.2025.3531391openalex-snapshot
Performance of Quantum Annealing Machine Learning Classification Models on ADMET Datasets
inferred← citeshttps://doi.org/10.1109/icc51166.2024.10622443openalex-snapshot
Haplotype Inference with Pure Parsimony: A Quantum Computing Approach
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3424433openalex-snapshot
Lagrangian Relaxation Based Parallelized Quantum Annealing and Its Application in Network Function Virtualization
inferred← citeshttps://doi.org/10.1109/tasc.2018.2836990openalex-snapshot
Andreev Spectroscopy of Molecular States in Resonant and Charge Accumulation Regime
inferred← citeshttps://doi.org/10.1109/tqe.2024.3441229openalex-snapshot
Multidisk Clutch Optimization Using Quantum Annealing
inferred← citeshttps://doi.org/10.1145/3588946openalex-snapshot
Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware
inferred← citeshttps://doi.org/10.3390/e19090500openalex-snapshot
Recall Performance for Content-Addressable Memory Using Adiabatic Quantum Optimization
inferred← citeshttps://doi.org/10.3390/e25030540openalex-snapshot
Quantum Computing Approaches for Vector Quantization—Current Perspectives and Developments
inferred← citeshttps://doi.org/10.48550/arxiv.1801.08649openalex-snapshot
Finding Maximum Cliques on the D-Wave Quantum Annealer
inferred← citeshttps://doi.org/10.48550/arxiv.1811.10486openalex-snapshot
Selected Methods for non-Gaussian Data Analysis
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