Comparative Benchmarking of Utility-Scale Quantum Emulators

• URL: http://arxiv.org/abs/2504.14027v1
• Date: Fri, 18 Apr 2025 18:32:47 GMT
• Title: Comparative Benchmarking of Utility-Scale Quantum Emulators
• Authors: Anna Leonteva, Guido Masella, Maxime Outteryck, Asier Piñeiro Orioli, Shannon Whitlock,
• Abstract summary: evaluating quantum algorithms at utility-scale is a key step toward advancing real-world applications of quantum computing.<n>We benchmark seven state-the-art quantum emulators employing techniques such as tensor networks, matrix product states (MPS), decision diagrams, and factorized ket based methods.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Evaluating quantum algorithms at utility-scale - involving more than 100 qubits - is a key step toward advancing real-world applications of quantum computing. In this study, we benchmark seven state-of-the-art quantum emulators employing techniques such as tensor networks, matrix product states (MPS), decision diagrams, and factorized ket based methods, running on CPU based hardware and focusing on effectively exact simulations. Performance is assessed on 13 benchmark circuits from the MQTBench library, spanning circuit sizes from 4 to 1,024 qubits. Our results reveal that MPS-based emulators outperform other approaches overall, successfully solving 8 benchmarks up to the maximum size of 1,024 qubits and 12 benchmarks up to at least 100 qubits in less than 5 minutes. We find evidence that all circuits except a random one can be simulated in polynomial time. This work demonstrates that quantum emulators can faithfully simulate a broad range of large and complex universal quantum circuits with high fidelity, far beyond the limits of statevector simulators and today's quantum hardware.

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