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Implementation of Grover’s Search Algorithm for Tectonic Activity Detection in an Unsorted Seismic Database

Physics Communication · Vol. 10 No. 2 (2026) · hlm. 77–86

DOI
10.15294/pc.v10i2.59296
ISSN
2528-598X, 2528-5971
Terbit
2026-09-11
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

One application of Grover’s Search Algorithm to large, unsorted databases can be found in seismic data, which is a collection of data with no specific order or structure that continues to grow over time. The Grover’s algorithm was implemented to detect tectonic activity in Indonesia based on earthquake magnitude and depth parameters. The data used consists of 5000 earthquake events in Indonesia from 2019 to 2024, obtained from United States Geological Survey (USGS). The target criteria were defined as earthquakes with a magnitude and a depth km. The research focused on the amplitude amplification mechanism through the application of a quantum oracle and a quantum diffusion, which increased the probability of finding target data in each iteration. The implementation was carried out using Python and Qiskit. Simulation results showed that both Grover’s algorithm and the classical search method successfully identified 353 target data points. However, Grover’s algorithm required only 3 iterations, whereas the classical method required 5000 iterations. The distribution of target data indicates dominant tectonic activity in North Maluku, papua, and the western Sumatra subduction zone. Grover’s algorithm further demonstrates a computational advantage thorugh a quadratic speedup, reducing the time complexity from in the classical approach to in the quantum approach.

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  • State University of Semarang
  • University of Sarjanawiyata Tamansiswa
  • Sebelas Maret University
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Rekan penulisOrganisasiArtikel bersama
Ani RusilowatiState University of Semarang2
Sarwi SarwiState University of Semarang2
Suharto LinuwihState University of Semarang2
Ellianawati EllianawatiState University of Semarang1
Bambang SubaliAfiliasi tidak diketahui1
Tri Joko RahardjoAfiliasi tidak diketahui1
Rido Adhi NegoroAfiliasi tidak diketahui1
Natalia Erna SetyaningsihAfiliasi tidak diketahui1
Martina WulandariState University of Semarang1
Putut MarwotoState University of Semarang1
Teguh DarsonoState University of Semarang1
Agus YuliantoState University of Semarang1
Aulia Litsa AriffiyahState University of Semarang1
Siti Aisyah WahyuniState University of Semarang1
Siti MuhafidhohState University of Semarang1
H HartonoState University of Semarang1
Dea Fahmi Safitri FahmiState University of Semarang1
S. WidowatiState University of Semarang1
H. SusantoState University of Semarang1
Achmad SopyanState University of Semarang1
Eko Sulkhany YuliantoUniversity of Sarjanawiyata Tamansiswa1
Dian Ayu AntikaState University of Semarang1
Bambang SubaliState University of Semarang1
Alvian AlvianState University of Semarang1
Arif WidiyatmokoState University of Semarang1
Suparmi SuparmiSebelas Maret University1
Maghfirotul FitriyahState University of Semarang1
Ngurah Made D. PState University of Semarang1
Husnul HidayahState University of Semarang1
Nisrina ImtinanState University of Semarang1
Supriyadi SupriyadiState University of Semarang1
Rahmad Hafid HidayatullahState University of Semarang1
Taufik Nur FitriantoState University of Semarang1
Rini KusumawardaniState University of Semarang1
S. SulhadiState University of Semarang1
Fatwa Aji KurniawanState University of Semarang1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/pc/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Implementation of Grover’s Search Algorithm for Tectonic Activity Detection in an Unsorted Seismic Database</dc:title>
	<dc:creator xml:lang="en">Mahardhika, Shofina Mumtaz</dc:creator>
	<dc:creator xml:lang="en">Listiyanto, Listiyanto</dc:creator>
	<dc:creator xml:lang="en">Yulianto, Agus</dc:creator>
	<dc:creator xml:lang="en">Aji, Mahardika Prasetya</dc:creator>
	<dc:subject xml:lang="en">Amplitude Amplification</dc:subject>
	<dc:subject xml:lang="en">Grover's Simulation</dc:subject>
	<dc:subject xml:lang="en">Qiskit</dc:subject>
	<dc:subject xml:lang="en">Grover's Search Algorithm</dc:subject>
	<dc:subject xml:lang="en">Seismic Unsorted Database</dc:subject>
	<dc:description xml:lang="en">One application of Grover’s Search Algorithm to large, unsorted databases can be found in seismic data, which is a collection of data with no specific order or structure that continues to grow over time. The Grover’s algorithm was implemented to detect tectonic activity in Indonesia based on earthquake magnitude and depth parameters. The data used consists of 5000 earthquake events in Indonesia from 2019 to 2024, obtained from United States Geological Survey (USGS). The target criteria were defined as earthquakes with a magnitude  and a depth km. The research focused on the amplitude amplification mechanism through the application of a quantum oracle and a quantum diffusion, which increased the probability of finding target data in each iteration. The implementation was carried out using Python and Qiskit. Simulation results showed that both Grover’s algorithm and the classical search method successfully identified 353 target data points. However, Grover’s algorithm required only 3 iterations, whereas the classical method required 5000 iterations. The distribution of target data indicates dominant tectonic activity in North Maluku, papua, and the western Sumatra subduction zone. Grover’s algorithm further demonstrates a computational advantage thorugh a quadratic speedup, reducing the time complexity from  in the classical approach to  in the quantum approach. </dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-09-11</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/pc/article/view/59296</dc:identifier>
	<dc:identifier>10.15294/pc.v10i2.59296</dc:identifier>
	<dc:source xml:lang="en">Physics Communication; Vol. 10 No. 2 (2026): August 2026; 77-86</dc:source>
	<dc:source>2528-598X</dc:source>
	<dc:source>2528-5971</dc:source>
	<dc:source>10.15294/pc.v10i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/pc/article/view/59296/11410</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Physics Communication</dc:rights>
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