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Parallel quantum annealing
Elijah Pelofske1, Georg Hahn2, Hristo N Djidjev3,4
1Los Alamos National Laboratory CCS-3 Information Sciences, Los Alamos, NM, 87545, USA. epelofske@lanl.gov.
Parallel quantum annealing improves efficiency by solving multiple NP-hard problems simultaneously on quantum annealers. This novel method significantly reduces the Time-To-Solution (TTS) for problems like Maximum Clique, making better use of available qubits.
Area of Science:
- Quantum Computing
- Computational Complexity
Background:
- Quantum annealers offer efficient solutions for NP-hard problems by mapping them to physical qubits.
- Limited qubit connectivity necessitates minor embedding, often leaving qubits unused, especially for smaller problems.
Purpose of the Study:
- To introduce parallel quantum annealing for enhanced qubit utilization.
- To evaluate the impact of parallel quantum annealing on the Time-To-Solution (TTS) for NP-hard problems.
Main Methods:
- Proposed a novel parallel quantum annealing method to solve multiple problems in a single annealing cycle.
- Applied the method to instances of the Maximum Clique problem on D-Wave quantum annealers.
Main Results:
- Parallel quantum annealing demonstrated dramatic speed-ups in TTS compared to sequential solving.
- Solving a single Maximum Clique problem with parallel quantum annealing significantly reduced TTS.
- Individual solution quality may slightly decrease when solving multiple problems concurrently.
Conclusions:
- Parallel quantum annealing is an effective strategy for improving the efficiency of quantum annealers.
- This method enhances qubit utilization and significantly reduces the Time-To-Solution for specific NP-hard problems.
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