Closing the "Quantum Supremacy" Gap: Achieving Real-Time Simulation of a Random Quantum Circuit Using a New Sunway Supercomputer
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Abstract (arXiv)
We develop a high-performance tensor-based simulator for random quantum circuits(RQCs) on the new Sunway supercomputer. Our major innovations include: (1) a near-optimal slicing scheme, and a path-optimization strategy that considers both complexity and compute density; (2) a three-level parallelization scheme that scales to about 42 million cores; (3) a fused permutation and multiplication design that improves the compute efficiency for a wide range of tensor contraction scenarios; and (4) a mixed-precision scheme to further improve the performance. Our simulator effectively expands the scope of simulatable RQCs to include the 10*10(qubits)*(1+40+1)(depth) circuit, with a sustained performance of 1.2 Eflops (single-precision), or 4.4 Eflops (mixed-precision)as a new milestone for classical simulation of quantum circuits; and reduces the simulation sampling time of Google Sycamore to 304 seconds, from the previously claimed 10,000 years.
Key facts. Cited by 5 papers in the map (data through 13 Oct 2026). First posted on arXiv 27 Oct 2021.
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Citing papers per year: 2023: 2; 2024: 1; 2025: 2.
5 papers.
- 2023Tensor networks for interpretable and efficient quantum-inspired machine learningcited by 17
- 2025Quantum-enhanced Computer Vision: Going Beyond Classical Algorithmscited by 5
- 2024Quantum Compiling with Reinforcement Learning on a Superconducting Processorcited by 4
- 2023An autoencoder compression approach for accelerating large-scale inverse problemscited by 1
- 2025Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networkscited by 0
- 2025Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms8 Oct 2025
- 2025Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks21 Apr 2025
- 2024Quantum Compiling with Reinforcement Learning on a Superconducting Processor18 Jun 2024
- 2023Tensor networks for interpretable and efficient quantum-inspired machine learning19 Nov 2023
- 2023An autoencoder compression approach for accelerating large-scale inverse problems10 Apr 2023