arXiv QuantumArchived Apr 22, 2026✓ Full text saved
arXiv:2604.18754v1 Announce Type: new Abstract: We develop a unified quantum framework for subgraph counting in graphs. We encode a graph on $N$ vertices into a quantum state on $2\lceil \log_2 N \rceil$ working qubits and $2$ ancilla qubits using its adjacency list, with worst-case gate complexity $O(N^2)$, which we refer to as the graph adjacency state. We design quantum measurement operators that capture the edge structure of a target subgraph, enabling estimation of its count via measurement
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Quantum Physics
[Submitted on 20 Apr 2026]
Quantum embedding of graphs for subgraph counting
Bibhas Adhikari
We develop a unified quantum framework for subgraph counting in graphs. We encode a graph on N vertices into a quantum state on 2\lceil \log_2 N \rceil working qubits and 2 ancilla qubits using its adjacency list, with worst-case gate complexity O(N^2), which we refer to as the graph adjacency state. We design quantum measurement operators that capture the edge structure of a target subgraph, enabling estimation of its count via measurements on the m-fold tensor product of the adjacency state, where m is the number of edges in the subgraph. We illustrate the framework for triangles, cycles, and cliques. This approach yields quantum logspace algorithms for motif counting, with no known classical counterpart.
Subjects: Quantum Physics (quant-ph); Computational Complexity (cs.CC)
Cite as: arXiv:2604.18754 [quant-ph]
(or arXiv:2604.18754v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.18754
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Submission history
From: Bibhas Adhikari [view email]
[v1] Mon, 20 Apr 2026 18:58:35 UTC (599 KB)
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