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Quantum algorithm for Feynman loop integrals
DOI:10.1007/JHEP05(2022)100.png)
摘要
En 中文
We present a novel benchmark application of a quantum algorithm to Feynman loop integrals. The two on-shell states of a Feynman propagator are identified with the two states of a qubit and a quantum algorithm is used to unfold the causal singular configurations of multiloop Feynman diagrams. To identify such configurations, we exploit Grover's algorithm for querying multiple solutions over unstructured datasets, which presents a quadratic speed-up over classical algorithms when the number of solutions is much smaller than the number of possible configurations. A suitable modification is introduced to deal with topologies in which the number of causal states to be identified is nearly half of the total number of states. The output of the quantum algorithm in IBM Quantum and QUTE Testbed simulators is used to bootstrap the causal representation in the loop-tree duality of representative multiloop topologies. The algorithm may also find application and interest in graph theory to solve problems involving directed acyclic graphs.
Keyword:
Duality in Gauge Field Theories
Perturbative QCD
Scattering Amplitudes
期刊
IF:
5.5
论文数:
4.0W
被引数:
13.7W
机构
引用论文
Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and hardware with 10 qubits使用量子变分分类器方法的量子机器学习在IBM量子计算机模拟器和具有10个量子位的硬件上的LHC上的高能物理分析中的应用

