Treasure Hunt in Anonymous Graphs with Quantum Pebbles by Oblivious Agents
September 03, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Gaurav Gaur, Barun Gorain, Rishi Ranjan Singh, Daya Gaur
arXiv ID
2509.02909
Category
quant-ph: Quantum Computing
Cross-listed
cs.DC,
cs.DS,
cs.ET
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
We investigate the problem of finding a static treasure in anonymous graphs using oblivious agents and introduce a novel approach that leverages quantum information. In anonymous graphs, vertices are unlabelled, indistinguishable, and edges are locally labelled with port numbers. Agents typically rely on stationary classical pebbles placed by an oracle to guide their search. However, this classical approach is constrained by limited information transmission and high traversal complexity. Classical pebbles are not sufficient for search if the agents are oblivious. We propose the first use of quantum pebbles for search in anonymous graphs. Quantum pebbles periodically emit qubits in a fixed quantum state. Each pebble encodes the port number to the next node using a unique quantum state. The agent determines the correct path by performing measurements in multiple bases, exploiting the probabilistic nature of quantum measurement to distinguish states. We show that this strategy enables an oblivious agent to locate the treasure in $D$ steps using $D$ quantum pebbles, where $D$ is the length of the shortest path between the starting point and the treasure. Moreover, only $O((\log D + \log Ξ)/(\log 1/Ξ΄))$ measurements per node are required to ensure high success probability in a graph with maximum degree $Ξ$ where $Ξ΄= \cos^2(\fracΟ{2Ξ})$. We propose the use of quantum information as a guidance mechanism in anonymous graph search. We demonstrate that quantum pebbles can not only emulate the functionality of classical pebbles but can do so with improved efficiency, offering a promising direction for future quantum-enhanced distributed algorithms.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Quantum Computing
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Quantum machine learning: a classical perspective
R.I.P.
π»
Ghosted
Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers
R.I.P.
π»
Ghosted
ProjectQ: An Open Source Software Framework for Quantum Computing
R.I.P.
π»
Ghosted
Quantum Recommendation Systems
R.I.P.
π»
Ghosted
Traffic flow optimization using a quantum annealer
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted