Back to Search
Start Over
Mapping quantum circuits to modular architectures with QUBO
- Publication Year :
- 2023
-
Abstract
- Modular quantum computing architectures are a promising alternative to monolithic QPU (Quantum Processing Unit) designs for scaling up quantum devices. They refer to a set of interconnected QPUs or cores consisting of tightly coupled quantum bits that can communicate via quantum-coherent and classical links. In multi-core architectures, it is crucial to minimize the amount of communication between cores when executing an algorithm. Therefore, mapping a quantum circuit onto a modular architecture involves finding an optimal assignment of logical qubits (qubits in the quantum circuit) to different cores with the aim to minimize the number of expensive inter-core operations while adhering to given hardware constraints. In this paper, we propose for the first time a Quadratic Unconstrained Binary Optimization (QUBO) technique to encode the problem and the solution for both qubit allocation and inter-core communication costs in binary decision variables. To this end, the quantum circuit is split into slices, and qubit assignment is formulated as a graph partitioning problem for each circuit slice. The costly inter-core communication is reduced by penalizing inter-core qubit communications. The final solution is obtained by minimizing the overall cost across all circuit slices. To evaluate the effectiveness of our approach, we conduct a detailed analysis using a representative set of benchmarks having a high number of qubits on two different multi-core architectures. Our method showed promising results and performed exceptionally well with very dense and highly-parallelized circuits that require on average 0.78 inter-core communications per two-qubit gate.<br />MB and SF would like to acknowledge funding from Intel Corporation. EA and CGA acknowledge support from the EU, grant HORIZON-EIC-2022-PATHFINDEROPEN-01-101099697 (QUADRATURE). SA acknowledges support from the EU, grant HORIZON-ERC-2021-101042080 (WINC) and GV acknoledges support from NWO QSC grant BGR2 17.269<br />Peer Reviewed<br />Postprint (author's final draft)
Details
- Database :
- OAIster
- Notes :
- 12 p., application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1427145105
- Document Type :
- Electronic Resource