Quantum sensors will start a revolution if we deploy them right – Nature.com
Quantum sensors exploit the fundamental properties of atoms and light to make measurements of the world. The quantum states of particles are extremely sensitive to the environment, which is a virtue for sensing, if problematic for making a quantum computer. Quantum sensors that use particles as probes can quantify acceleration, magnetic fields, rotation, gravity and the passage of time more precisely than can classical devices that are engineered or based on chemical or electrical signals. They can be used to make atomic clocks that are smaller and more accurate, cameras that can see through fog and around corners, and devices for mapping structures underground, among many other potential applications. They stand to transform a multitude of sectors, from energy, land use and transport to health care, finance and security. But their commercial promise needs to be appreciated more.
As researchers developing quantum sensors in the laboratory, we are keen to make governments and industry more aware of the possible benefits in particular, in improving the safety of national critical infrastructure that relies on sensors, such as air-traffic control systems and water utilities. However, we and others face hurdles in gaining attention and funding to adapt quantum sensors for use in real-world settings.
One challenge is that it is hard to predict exactly how and where emerging technologies will be adopted. The history of physics is full of serendipitous inventions. X-ray generators, for example, were the accidental by-product of experiments to see whether beams of electrons could pass through glass, yet they are now crucial to medicine and airport security. The inventor of the laser, Theodore Maiman, famously described that technology as a solution seeking a problem.
Another factor is that many people including business leaders think quantum technologies are devices of the future, not the present. Unlike quantum computers, which get a lot of press but might be decades away from offering wide commercial advantage, quantum sensors are already in use in the lab. A handful are in commercial use: atomic clocks, for example, measure the passage of time supremely accurately using high-frequency quantum transitions in atoms. Their accuracy maintains the synchronization of communication and energy networks, and digital radio stations. They are crucial for satellite navigation services such as GPS.
Light waves squeezed through slits in time
Even so, it took 20 years to move GPS receivers from being specialist devices used by the military, tech-savvy hikers and ships captains to providing navigation for smartphones and cars. Now, the quantum community needs to establish similar pathways for realizing the commercial benefit of other types of quantum sensor.
Quantum gravity sensors and quantum gas detectors flown on satellites could collect accurate data on levels of groundwater, carbon dioxide and methane to improve climate modelling. Quantum magnetic sensors can image peoples brain signals in real time1, and quantum gravimeters can monitor underground water levels and volcanic eruptions2. Combinations of quantum sensors that track gravity gradients, magnetic fields and inertial forces 1,000 times more precisely than can classical ones might, for instance, enable reliable navigation in places where satellite signals are jammed or cannot reach, such as remote sites, conflict zones or underwater.
Here we highlight five priorities for commercializing quantum sensors to get them adopted faster.
Innovators in industry are rarely excited by a lab result that simply proves a concept. They want to know that a device will work reliably for a specific application, and that it will benefit their businesss finances. Researchers need to ensure that any sensor bound for the market is robust and reliable, can be manufactured reproducibly and cost-effectively, and is compatible with other systems in use. In practice, this might mean redesigning many aspects of the technology. Each tweak brings fresh challenges.
For example, in our lab at the UK Quantum Technology Hub Sensors and Timing in Birmingham, we have developed a sensor that measures gradients in gravity. In two chambers 1 metre apart, lasers trap rubidium atoms from a vapour and cool them to a standstill3. More laser pulses create superpositions of quantum states and read these out for the rubidium atoms in each cloud. Software converts those signals into a gravity gradient measure. By using a single laser beam to manipulate the atoms, this quantum device is 1,000 times less sensitive to noise from vibrations than are conventional gravimeters, and is thus easier to deploy.
A diamond-based quantum sensor can measure magnetic fields at the atomic scale.Credit: David Kelly Crow/de Leon lab/Princeton University
The version we first demonstrated in the lab was the size of a small van, with tables full of optical components and racks of electronic systems and power supplies. It was built from bespoke parts and tuned by hand. Taking this device outside the lab, to sense subterranean tunnels through small changes in local gravity4, meant making all of the components more robust, smaller and cheaper, as well as improving their performance.
Our physicists and engineers had to find ways to control the laser beam under varying temperatures, contain it in a vacuum to avoid air turbulence and pulse the laser to reduce the impacts of stray magnetic fields. Work is ongoing to operate the device on a moving platform to ease deployment, to increase its sensitivity and bandwidth to speed up mapping, and to reduce its size to that of a backpack so it can be mounted on a drone to survey large areas.
Test quantum mechanics in space invest US$1 billion
One promising avenue for miniaturization is integrating quantum sensors in photonic microchips5,6. These rely on light (photons) rather than the electrons used in conventional microchips, and are fast and energy efficient. Similar technology is found in fibre-optic networks. Quantum sensors could be miniaturized using photonic chips and existing manufacturing processes for micro-electro-mechanical systems (MEMS), which are used in vehicle airbags. The benefit is that they are robust and cope with vibrations better than bulkier optical systems do.
The challenge is integrating all the elements into one system that includes lasers, modulators, waveguides and beam splitters, as well as components such as vapour cells. Further research and investment are needed into new materials, fabrication technologies, device packaging and procedures for testing and validation. Standardization of quantum sensor technologies as low-cost building blocks is also urgently required, mirroring the processes for fibre-optic communication and MEMS sensor technologies.
Researchers need to talk to business leaders to determine how quantum sensors can add value across a range of applications. For example, uses for a gravity sensor are not obvious; few people visualize their surroundings in terms of gravity or the density of materials. But after discussions with more than 100 companies, we concluded that gravity sensors would be excellent for illuminating unknowns in the ground, from the position of forgotten mineshafts to groundwater levels and the distribution of carbon in soils and magma flows. These can, in principle, be seen by classical gravimeters, but ground vibrations make the measurement time infeasibly long, typically 510 minutes for a single data point. With quantum gravity gradiometers, such data could be collected in seconds, opening up the potential for gravity cartography4. And thats just what we have focused on so far.
An optical clock in which strontium ions oscillate in response to laser light.Credit: Andrew Brookes, National Physical Laboratory/Science Photo Library
Money for applied research and multidisciplinary collaborations between academia and industry is needed to validate these ideas. In our case, the next step involves geophysics research using such gravimeters to improve understanding of how water flows and accumulates underground. This information could be used to refine flood models, for example. Civil-engineering research is also required on how best to detect leakage in water pipes using such sensors. Broader technological and economic considerations will determine how this approach can be used most effectively in water management.
Companies should start thinking about new business models, such as offering underground mapping services to farmers to help reduce water use in irrigation. Engaging in pilot projects would put businesses in a good position to capitalize on market disruption, rather than being caught out by it.
Any sensor must be plugged into a bigger system to reap its benefits. For example, an inertial sensor one that detects movement is relatively useless on its own. But when integrated with electronics, software and a display in a smartphone, it can provide health information on step counts and calories burnt by the user.
Similarly, quantum accelerometers and sensors of rotation, gravity and magnetic field can be combined into position, navigation and timing systems for subsea and underground use. For this application, quantum sensors offer reduced bias, better precision and more stability than do their classical counterparts, allowing navigation with metre-level accuracy without having to use global satellite systems such as GPS. This capability would enable exploration of resources on the seabed, as well as securing and maintaining pipelines, cables and foundations of offshore wind farms and oil rigs, for example.
However, it remains fiendishly challenging to integrate quantum sensors into a full-blown navigation system. Constructing an inertial measurement unit alone requires three accelerometers, one for each spatial dimension, and three rotation sensors, one for each rotational degree of freedom, arranged at perfect right angles and all linked with a clock. If fitted on a vehicle or submarine, such a navigation system would need to compensate for small changes in local gravity and other forces induced by Earths rotation. The whole thing would need to be calibrated, which is hard to achieve at the high level of precision needed.
Quantum computings reproducibility crisis: Majorana fermions
Gravity and magnetic sensors would be needed for mapping these fields along the trajectory of the vehicle, as well as a computer control system with specialist software. Databases of field readings would need to be developed for comparison against the recorded gravity and magnetic traces, to allow absolute position fixes to deal with unavoidable long-term drifts.
Researchers also need to consider in detail how quantum sensor systems might be linked to national and international infrastructure networks. For example, communication networks could be revolutionized with the next generation of quantum clocks, optical clocks, which could be 1,000-fold more precise than the time provided by current satellite navigation systems. This might enable new modes of ultra-fast broadband, for example, which squeeze more data packets into channel bandwidth and use less energy to transmit each bit of data. Similarly, quantum sensors capable of detecting hydrogen could speed up the energy transition from natural gas to hydrogen fuels, because they could detect leaks and safeguard infrastructure to enable secure roll-out of this potentially highly explosive fuel.
Whereas academic researchers can develop sensors with the right properties, industry needs to lead this systems integration stage. Existing academic funding streams are too small to support such collaborative research. Substantial long-term research and development contracts with industry are needed to make this happen. For instance, in the 2000s, funding from the US Defense Advanced Research Projects Agency helped to create the chip-scale atomic clock within a decade, through a dedicated development programme involving academia and industry.
Raw data from a sensor needs to be transformed into information that is useful for a specific task. For example, although a quantum magnetic-field sensor can detect tiny fields associated with patterns of neural activity in the brain, 3D visualizations of brain activity require an array of such sensors, and algorithms and graphical representations to display them in ways a physician can interpret.
Development of such systems is under way1 and could revolutionize understanding of brain conditions. Real-time mapping (scans 100 times a second, for example) and analysis of brain responses to visual or sensual stimuli, even while a person is moving, might replace current techniques for diagnosing brain disorders based on patient questionnaires. It could also allow physicians to assess the efficacy of drugs for brain conditions on an individual basis.
A researcher at German firm Q.ANT checks a quantum sensor intended for industrial use.Credit: Sebastian Gollnow/dpa via Alamy
Similarly, advanced analytics are needed to extract 3D underground images from gravity surveys, where it remains challenging to determine how deep sensed objects are. Banks of radars driven by quantum oscillators need to be networked to show detailed images instead of dots on a radar screen, such as would be needed to classify and distinguish drones from birds flying over a city. Big data techniques must be deployed to harvest all of this information, enabling the monitoring of tens of thousands of delivery drones in cities, for instance.
Perhaps the greatest data challenge in terms of time and effort is to create training data sets through trials. Researchers need to conduct large-scale medical trials to find biomarkers for brain conditions, collect data from networks of gravimeters to understand underground water and other assets, and source radar data through sensor networks across cities. We encourage governments to fund such programmes to seed future ventures.
Although many countries have begun coordinated efforts to develop the base level of quantum technologies, there is still a scattered approach to adoption and exploitation. With many groups working in isolation, tackling the research challenges we outline would take decades. To speed things up, a strategy for coordinating research projects on quantum sensors is needed.
At the research end of the pipeline, some nations, including Germany, Japan, the Netherlands, the United Kingdom and the United States, have set up hubs and large projects to align academic and national needs in quantum technologies by bundling expertise and providing portals for interactions with industry and other partners. Yet, generally, sensors are not getting the attention they deserve in national quantum tech initiatives, with a few exceptions, such as QuantumBW, an initiative by the German state of Baden Wrttemberg, which explicitly focuses on quantum sensing.
Underdog technologies gain ground in quantum-computing race
Governments need to introduce policies and regulation to support innovation in quantum sensors, with one focus being enhancements to the management and security of critical national infrastructure. For example, a 2020 presidential order requires US national aviation authorities to become independent of global navigation satellite systems timing by 2025. This would ensure air-traffic control systems keep working even if those systems fail by accident or through hostile intervention. It is still too early to determine the impact, but the order has set the boundary conditions for the emergence of business ideas related to timing technologies.
Similar approaches in communications, water-resource management and medicine might encourage the uptake of quantum sensors in those sectors to make them more resilient by having independent timing and navigation or more detailed data.
Initiatives are also needed to bring companies, from component manufacturers to system integrators, together with academics to help find business solutions, rather than simply come up with the technology and then quickly scale up production in the hope that there will be a market. One promising effort is the National Accelerator for Quantum Sensors in the United Kingdom. Launched in 2022 and still to be fully funded, this accelerator involves three corporate giants with a global reach (BAE Systems, BP and BT) and is committed to bringing in dozens more companies. Although initiatives in other countries target quantum technologies in general such as QED-C in the United States the UK programme is unique in that it focuses on sensors.
To conclude, a long-term, industry-led approach for quantum sensor innovation is urgently needed. The physics of quantum sensors can deliver the performance, but the question is: who will lead the world in delivering the benefits?
View original post here:
Quantum sensors will start a revolution if we deploy them right - Nature.com
- First full simulation of 50-qubit universal quantum computer achieved - Phys.org - November 11th, 2025 [November 11th, 2025]
- D-Wave (NYSE: QBTS) Advantage2TM Quantum Computer Now Available for U.S. Government Applications at Davidson Technologies - TradingView - November 11th, 2025 [November 11th, 2025]
- Superconducting Pairing Correlations Measured on Quantum Computer in Three Regimes of Fermi-Hubbard Models - Quantum Zeitgeist - November 11th, 2025 [November 11th, 2025]
- 'This is easily the most powerful quantum computer on Earth': Scientists unveil Helios, a record-breaking quantum system - Live Science - November 10th, 2025 [November 10th, 2025]
- Helios-1: New quantum computer is on the path to unravelling superconductivity - New Scientist - November 10th, 2025 [November 10th, 2025]
- Princeton puts quantum computing on the fast track with new qubit - Princeton University - November 7th, 2025 [November 7th, 2025]
- Here's How Hot Quantum Stocks Have Been LatelyAnd What to Know About Them - Investopedia - November 7th, 2025 [November 7th, 2025]
- SkyWater Technology and QuamCore Announce Collaboration to Fabricate Digital Superconducting Controller for Scalable Quantum Computing - Business Wire - November 7th, 2025 [November 7th, 2025]
- Quantum computing jolted by DARPA decision on most viable companies - Fast Company - November 7th, 2025 [November 7th, 2025]
- Quantum Could Be Techs Next Big Thing. But for Investors, Its All About Timing. - The Wall Street Journal - November 7th, 2025 [November 7th, 2025]
- Silicon Quantum Computing Selected by DARPA to Advance into 2nd Stage of Quantum Benchmarking Initiative - HPCwire - November 7th, 2025 [November 7th, 2025]
- Beyond the Hype: Quantum Computers Start Solving Real Problems - USC Viterbi School of Engineering - November 7th, 2025 [November 7th, 2025]
- Alumnus, leader in quantum computing to deliver inaugural joint colloquium - W&M News - November 7th, 2025 [November 7th, 2025]
- IBM Advances to Next Phase of DARPA Quantum Benchmarking Initiative - PR Newswire - November 7th, 2025 [November 7th, 2025]
- Universal Coupler Promises to Cut the Costs of Photonic Quantum Computers | Business | Nov 2025 - Photonics Spectra - November 7th, 2025 [November 7th, 2025]
- Atom Computing selected by DARPA for the next stage of exploring near-term utility-scale quantum computing with neutral atoms - PR Newswire - November 7th, 2025 [November 7th, 2025]
- Quantum Computing Explained: Unlocking the Future of Quantum Technology and Its Impact - Tech Times - November 7th, 2025 [November 7th, 2025]
- IBM Gets Selected for Stage B of DARPAs Quantum Computing Initiative - TipRanks - November 7th, 2025 [November 7th, 2025]
- Quantum computing: What's all the hype about? - marketplace.org - November 7th, 2025 [November 7th, 2025]
- Quantum Motion Selected by DARPA for Second Phase of the Quantum Benchmarking Initiative - insidehpc.com - November 7th, 2025 [November 7th, 2025]
- DARPAs Quantum Benchmarking Initiative targets utility-scale quantum by 2033 - TechInformed - November 7th, 2025 [November 7th, 2025]
- This Is the Smartest Stock to Buy to Take Advantage of the Quantum Computing Revolution -- and It Isn't IonQ, Rigetti Computing, or D-Wave Quantum -... - November 7th, 2025 [November 7th, 2025]
- Target This Quantum Computing Stock Before Another Rally - Forbes - November 7th, 2025 [November 7th, 2025]
- Singapores National Quantum Office and Quantinuum Forge Strategic Partnership to Accelerate Quantum Computing - The Quantum Insider - November 7th, 2025 [November 7th, 2025]
- SkyWater partners with QuamCore to advance quantum computing - Evertiq - November 7th, 2025 [November 7th, 2025]
- SkyWater Technology And QuamCore Announce Collaboration to Fabricate Digital Superconducting Controller For Scalable Quantum Computing - The Quantum... - November 7th, 2025 [November 7th, 2025]
- Canadas Nord Quantique Selected for 2nd Phase of DARPA Quantum Benchmarking Initiative - HPCwire - November 7th, 2025 [November 7th, 2025]
- Why People Confuse AI with Quantum Computing and Why You Should Care - Investopedia - November 7th, 2025 [November 7th, 2025]
- Exclusive | The Next Big Quantum Computer Has Arrived - The Wall Street Journal - November 7th, 2025 [November 7th, 2025]
- DARPAs Quantum Benchmarking Initiative (QBI) Advances with Eleven Teams Moving to Stage B - Quantum Computing Report - November 7th, 2025 [November 7th, 2025]
- Behold Helios, the Most Powerful Quantum Computer on the Planet - oodaloop.com - November 7th, 2025 [November 7th, 2025]
- The Next Big Quantum Computer Has Arrived - oodaloop.com - November 7th, 2025 [November 7th, 2025]
- Government showcases UK quantum computing pledge - Computer Weekly - November 7th, 2025 [November 7th, 2025]
- Behold Helios, the Most Powerful Quantum Computer on the Planet - Gizmodo - November 7th, 2025 [November 7th, 2025]
- Quantum Computing Stocks: Q3 Earnings Preview - Investor's Business Daily - November 3rd, 2025 [November 3rd, 2025]
- Quantum computers reveal that the wave function is a real thing - New Scientist - November 3rd, 2025 [November 3rd, 2025]
- You Won't Believe What Elon Musk Just Said About Quantum Computing (Spoiler Alert: It's Good News) - Nasdaq - November 3rd, 2025 [November 3rd, 2025]
- The US government announces strategic 'prosperity deals' with Japan and South Korea to 'drive breakthroughs' in AI, quantum computing, and more - PC... - November 3rd, 2025 [November 3rd, 2025]
- Are Quantum Computing Stocks in a Bubble? - The Motley Fool - November 3rd, 2025 [November 3rd, 2025]
- Quantum technology is coming to the real world - Financial Times - November 3rd, 2025 [November 3rd, 2025]
- The Donald Trump Administration May Want Stakes in Quantum Computing Stocks IonQ, Rigetti Computing, and D-Wave Quantum -- and That May Be Terrible... - November 3rd, 2025 [November 3rd, 2025]
- IBM Stock Is Outperforming Nvidia's This Year. Are Shares a Buy? - The Motley Fool - November 3rd, 2025 [November 3rd, 2025]
- An Epic Reversal Is Coming for Quantum Computing Stocks IonQ, Rigetti Computing, and D-Wave Quantum, Based on a Time-Tested Indicator - The Motley... - November 3rd, 2025 [November 3rd, 2025]
- Saturday Citations: Test flight of the X-59; a confounding quantum calculation; the universe is not simulated - Phys.org - November 3rd, 2025 [November 3rd, 2025]
- What will change in 2026? Brazil will have its first quantum computer, coming from China with a US$10 million investment. - CPG Click Petrleo e Gs - November 3rd, 2025 [November 3rd, 2025]
- Cloud platforms keep breaking down, and this time its quantum - Cybernews - November 3rd, 2025 [November 3rd, 2025]
- Time to Invest in Quantum Computing Stocks - Cabot Wealth Network - November 3rd, 2025 [November 3rd, 2025]
- Imperial Researchers Win Top Prizes For Quantum-AI Advances - Quantum Zeitgeist - November 3rd, 2025 [November 3rd, 2025]
- Quantum Circuits Harnesses Power of Data to Deliver New Class of Advanced Quantum Computing Solutions with NVIDIA - HPCwire - November 3rd, 2025 [November 3rd, 2025]
- NVIDIA Bridges Classical and Quantum Computing with NVQLink | Business | Oct 2025 - Photonics Spectra - November 3rd, 2025 [November 3rd, 2025]
- 3 Reasons to Buy This Under-the-Radar Quantum Computing Stock Today - Yahoo Finance - October 28th, 2025 [October 28th, 2025]
- What's the Best Quantum Computing Stock to Buy? It Just Became Crystal Clear (Hint: It's Not IonQ). - The Motley Fool - October 28th, 2025 [October 28th, 2025]
- 3 Reasons to Buy This Under-the-Radar Quantum Computing Stock Today - The Motley Fool - October 28th, 2025 [October 28th, 2025]
- Move Over, IonQ, Rigetti Computing, and D-Wave Quantum -- There's a Much Smarter Way to Invest in the Quantum Computing Revolution - Nasdaq - October 28th, 2025 [October 28th, 2025]
- Without Question, These Are the 2 Safest Quantum Computing Stocks to Buy (Hint: Not Rigetti Computing) - The Motley Fool - October 28th, 2025 [October 28th, 2025]
- UC Merced Leads National Effort to Unlock Quantum Secrets of Twisty Molecules - University of California, Merced - October 28th, 2025 [October 28th, 2025]
- Quantum computer demonstrates controlled advantage over supercomputer for the first time - warpnews.org - October 28th, 2025 [October 28th, 2025]
- Quantum Computing Stocks D-Wave, IonQ, and Rigetti Talk With Trump Administration About Equity Stakes. Is It Time to Buy? - The Motley Fool - October 28th, 2025 [October 28th, 2025]
- IBM Stock Surges 8% As It Expands Quantum Computing Capabilities with AMD Chip - TIKR.com - October 28th, 2025 [October 28th, 2025]
- Without Question, These Are the 2 Safest Quantum Computing Stocks to Buy (Hint: Not Rigetti Computing) - Nasdaq - October 28th, 2025 [October 28th, 2025]
- Electrons can now be controlled to build smarter quantum devices - Interesting Engineering - October 28th, 2025 [October 28th, 2025]
- Google announces a breakthrough that could bring quantum computing into everyday life - Dagens.com - October 28th, 2025 [October 28th, 2025]
- Quantum computing may be tech investings next big thing, but picking winners is a challenge - The Globe and Mail - October 28th, 2025 [October 28th, 2025]
- Move Over, IonQ, Rigetti Computing, and D-Wave Quantum -- There's a Much Smarter Way to Invest in the Quantum Computing Revolution - The Motley Fool - October 28th, 2025 [October 28th, 2025]
- Think It's Too Late to Buy IonQ Stock? Here's the 1 Reason Why There's Still Time. - The Motley Fool - October 28th, 2025 [October 28th, 2025]
- QTUM: Capturing The Synergistic Relationship Between Quantum Computing And AI - Seeking Alpha - October 28th, 2025 [October 28th, 2025]
- IonQ (IONQ): Evaluating Valuation After U.S. Government Interest and Quantum Computing Breakthroughs - simplywall.st - October 28th, 2025 [October 28th, 2025]
- Tech in 2035: The Future of AI, Quantum, and Space Innovation - DirectIndustry e-Magazine - October 28th, 2025 [October 28th, 2025]
- Commentary: China is closing the quantum technology gap - CNA - October 26th, 2025 [October 26th, 2025]
- How quantum computing could become the next frontier in national security - MarketWatch - October 26th, 2025 [October 26th, 2025]
- IBM says conventional AMD chips can run quantum computing error correction algorithm - Reuters - October 26th, 2025 [October 26th, 2025]
- Exclusive | Trump Administration in Talks to Take Equity Stakes in Quantum-Computing Firms - The Wall Street Journal - October 26th, 2025 [October 26th, 2025]
- This Quantum Computing Stock Is Up 3,000% Over the Last Year, and the CEO Just Cashed Out. Are Retail Investors Fueling a Bubble? - AOL.com - October 26th, 2025 [October 26th, 2025]
- AMD Stock Surges on IBM Quantum Partnership and Major AI Deals - CoinCentral - October 26th, 2025 [October 26th, 2025]
- Quantum Teleportation Was Achieved Over The Internet For The First Time - Currently.com - October 26th, 2025 [October 26th, 2025]
- IBM's boffins run a nifty quantum error-correction algorithm on standard AMD FPGAs, and it is' 10 times faster than what is needed' research propels... - October 26th, 2025 [October 26th, 2025]
- Googles quantum computer just achieved a massive breakthrough: Verifiable Quantum Advantage - Chrome Unboxed - October 26th, 2025 [October 26th, 2025]
- Forthcoming IBM Paper Expected to Show Quantum Algorithm Running on Inexpensive AMD Chips - The Quantum Insider - October 24th, 2025 [October 24th, 2025]
- Why AMD and IBM Shares Just Took Quantum Leaps to Record Highs? - Investopedia - October 24th, 2025 [October 24th, 2025]
- 1984 Was Supposed to Be Fiction - Brownstone Research - October 24th, 2025 [October 24th, 2025]