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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
In an experiment, it is shown that quantum key distribution networks, a component of highly secure cryptography systems, are also capable of locating and detecting earthquakes.
When shaking waves caused by an earthquake are anticipated to arrive at a place, devices and people are alerted by earthquake early warning (EEW) systems using monitoring system technology and earthquake science.

The Global Quantum computing-based earthquake prediction system market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
The academic community has long been heavily invested in earthquake detection. The development of an early earthquake detection system has taken a very long period, though. The idea of quantum computing is therefore used in this work to suggest a new technique for early earthquake detection.
In order to do this, they propose a technique for tracking the impact of a change on a pair of entangled photons in order to observe instantaneous changes in the earth's gravity field.
One of the photons in this instance is located in a region that is prone to earthquakes, and the other photon is at a satellite orbiting the earth. The technique, which makes use of the idea of quantum computing, is capable of detecting even the smallest change in a location's gravity field.
A large earthquake that is about to occur can be accurately predicted in advance through further analysis of the shift. It creates a quantitative model that is appropriate for their suggested approach.
Then, using the created model as a foundation, they run a numerical exercise. The effectiveness of the technique for earthquake early detection is shown by simulation results.
The gravitational field in the region surrounding the epicentre considerably changes prior to a strong earthquake. The wavelength of a photon dropped on Earth is altered by changes in gravity, moving it to the left or right of the electromagnetic spectrum, accordingly.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introdauction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in theIndustry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2023-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |