Optimal multicore quantum computing with few interconnects
Noisy intermediate-scale quantum processors have produced a quantum computation revolution in recent times. However, to make further advances, new strategies to overcome the error rate growth are needed. One possible way out is dividing these devices into many cores. On the other hand, the majorizat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-06-01
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| Series: | APL Quantum |
| Online Access: | http://dx.doi.org/10.1063/5.0252348 |
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| Summary: | Noisy intermediate-scale quantum processors have produced a quantum computation revolution in recent times. However, to make further advances, new strategies to overcome the error rate growth are needed. One possible way out is dividing these devices into many cores. On the other hand, the majorization criterion efficiently classifies quantum circuits in terms of their complexity, which can be directly related to their ability of performing non-classically simulatable computations. In this paper, we use this criterion to study the complexity behavior of a paradigmatic universal family of random circuits distributed into several cores with different architectures. We find that the optimal complexity is reached with few interconnects, giving further hope to actual implementations in available devices at present. A universal behavior is found irrespective of the architecture and (approximately) the core size. We also analyze the complexity properties when scaling processors up by means of adding cores of the same size. We provide a conjecture to explain the results. |
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| ISSN: | 2835-0103 |