The frontier of quantum communication just flipped; instead of just downlinking from space to Earth, scientists at the University of Technology Sydney (UTS) say we’re now beaming up. A new study reveals it’s feasible to send quantum-entangled particles from Earth up to satellites, a reversal of the usual satellite-to-ground model.

 

Here’s what’s going on and why it matters.

In the study titled “Quantum entanglement distribution via uplink satellite channels,” led by Simon Devitt and Alexander Solntsev, the UTS team ran detailed modeling of the Earth-to-space path of entangled photons. They accounted for real-world complications, including atmospheric scattering, moonlight reflections, ground station optics misalignment, and satellites moving at approximately 20,000 km/h, around 500 km above Earth.

 

Until now, quantum satellites primarily created entangled photon pairs on board and then sent one photon to each of two ground stations (a “downlink” model). The UTS team proposes instead that two ground stations emit entangled photons upward simultaneously to a satellite, where they meet and interfere properly, thus maintaining entanglement.

 

Their findings indicate that this approach is feasible.

 

The uplink path, which had previously been dismissed as too lossy or noisy, can be engineered to function effectively.

Yes, China has been a leader in quantum satellite communications. Back in 2016, they launched the Micius satellite, the first to demonstrate space-based quantum key distribution. More recently (2025), a Chinese micro-satellite (Jinan-1) achieved a 12,900 km quantum link between China and South Africa.

 

So, UTS isn’t starting from scratch, but they are innovating the direction of the link (uplink vs downlink). It shows the global quantum race is maturing: China has the early wins, but Australia and other players are pushing the next phases.

The research is currently based on modeling, not full-space experiments. While simulating the uplink channel is one thing, real-mission conditions present challenges such as atmospheric turbulence, moving satellites, and alignment drift. UTS suggests near-term experiments using balloons or drones.

 

Furthermore, transitioning from quantum key distribution (QKD), which focuses on secure key sharing, to a full quantum internet, involving quantum computers and sensing, presents numerous engineering hurdles. Uplink technology is just one piece of this complex puzzle.

This development is a significant shift. The idea of firing quantum signals up to space opens new architectures for a quantum internet. It lowers the satellite burden and boosts ground-station capability. If experiments verify the model, the next decade could bring more scalable, global quantum networks than we thought possible.

 

And yes, China’s earlier quantum satellite milestones provide a strong foundation, but this new direction shows the field is evolving beyond “who launched the first quantum satellite” to “how do we build global quantum infrastructure.”

A recent study conducted by the Institute for Basic Science (IBS) and its collaborating institutions presents compelling new evidence indicating that the planet's polar oceans are likely to experience a significant increase in turbulence as climate change progresses. High-performance supercomputing technology was essential to this research.

Researchers at the IBS Center for Climate Physics (ICCP) analyzed ocean currents, ice cover, and horizontal stirring—a process involving winds and currents that stretch and mix water masses, using ultra-high-resolution climate models. These models were executed on the supercomputer Aleph, which is situated at IBS in Daejeon, South Korea.

 

According to IBS, Aleph has a processing capacity of approximately 1.43 petaflops (1.4 quadrillion floating-point operations per second). It is important to note that running these finely-resolved simulations—which track ocean turbulence, sea ice decline, and the mixing of marine ecosystems—demands substantial computational resources, as well as considerable storage and data-handling capabilities. For instance, one ultra-high-resolution simulation generated approximately 5.3 terabytes of data per year of simulated time.

 

The research team conducted simulations using present-day CO₂ levels, doubled CO₂, and quadrupled CO₂ levels, incorporating atmospheric, oceanic, sea ice, and land feedback mechanisms within a fully coupled Earth system model. The simulations revealed a significant increase in "mesoscale horizontal stirring" (MHS) within both the Arctic and Southern Oceans under warming conditions, indicating heightened mixing, eddy activity, currents, and overall turbulence. Regional mechanisms vary; in the Arctic, sea ice loss facilitates more direct wind forcing and eddy generation, while in the Antarctic coastal region, increased freshwater input from melting ice enhances density gradients and strengthens currents such as the Antarctic Slope Current. The ecological consequences are considerable, as intensified mixing impacts nutrient distribution, plankton populations, larval transport of marine life, and even the dispersion of pollutants like microplastics.

This research underscores the crucial role of supercomputers in advancing climate science. Conventional climate models frequently employed coarse resolutions, with grid scales exceeding 100 kilometers, which limited their ability to accurately represent small-scale eddies and turbulence. In contrast, the simulations conducted by ICCP utilized resolutions of approximately 0.25° for atmospheric modeling and 0.1° for oceanic modeling, corresponding to a scale of roughly 10 kilometers for certain components. Without computational resources such as Aleph, achieving such high levels of resolution and scale would be infeasible. The demands on storage, memory, input/output, and computational throughput are substantial; one study utilized 11,960 cores, generating approximately 1.8 petabytes of output for a particular high-resolution configuration. In summary, supercomputing capabilities unlock critical insights, transitioning models from simplified approximations to detailed, physically accurate simulations of turbulence, eddies, ice-ocean interactions, and marine ecosystems.

 

From a practical perspective, these findings suggest that, in a warming climate, the polar oceans may exhibit behaviors currently underestimated by existing climate models. Increased turbulence will lead to heightened mixing of heat and nutrients, potentially influencing sea surface temperatures, ecosystem structures, and the dispersion of pollutants. From a broader scientific and infrastructural perspective, the study underscores the critical need for advanced computing resources in climate research. As models continue to advance in resolution, coupling, and complexity, such as through the integration of biological systems with physical dynamics, computational demands will continue to escalate. Institutions like IBS are currently preparing for the next generation of computing capabilities.

 

The planet is undergoing a period of increased activity, literally. Thanks to computing power once considered science fiction, scientists are now investigating the complex dynamics of our polar oceans and discovering that the next phase of climate change may manifest not only as gradual warming but also as accelerated turbulence, mixing, and widespread system rearrangements. The supercomputer Aleph has become one of the primary instruments in this evolving process.