.png){kind=icon}
返回
Accelerating the variational quantum eigensolver using parallelism
.png){kind=icon}
OA
AI
DOI：10.1088/2058-9565/acd0d2.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Quantum computers are getting larger and larger, but device fidelities may not be able to keep up with the increase in qubit numbers. One way to make use of a large device that has a limited gate depth is to run many small circuits simultaneously. In this paper we detail our investigations into running circuits in parallel on the Rigetti Aspen-M-1 device. We run two-qubit circuits in parallel to solve a simple instance of the Hubbard model using the variational quantum eigensolver (VQE). We present results for running up to 33 circuits in parallel (66 qubits), showing that with the use of error mitigation techniques it is possible to make use of, and gain a real-time speedup from, parallelisation on current quantum hardware. We obtain a speedup by 18x for exploring the VQE energy landscape, and by more than 8x for running VQE optimisation.
Keyword:
quantum computing
parallelisation
variational quantum eigensolver
NISQ algorithms
期刊
IF:
5
论文数:
1.4K
被引数:
5.1K
机构
引用论文
Mitigation of readout noise in near-term quantum devices by classical post-processing based on detector tomography.png)
QUANTUMOAAI
QUANTUMIF5.4
OAAI分享收藏Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computerNATURE COMMUNICATIONS
OAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏Resolving temporal variation in vertebrate diets using naturally occurring stable isotopesOecologia
OecologiaIF0
PREAI
分享收藏Strategies for solving the Fermi-Hubbard model on near-term quantum computersPHYSICAL REVIEW BOAAI
PHYSICAL REVIEW BIF3.7
OAAI分享收藏
查看更多内容