The Third Pole is melting.
CRYO-Q — a quantum-and-silicon system to predict, and act to reverse, Himalayan glacier loss in near real time.
Every third glass of water in South Asia starts as Himalayan ice.
The rivers that fill taps, irrigate fields, and turn turbines from the Indus to the Brahmaputra begin as snow and ice on the "Third Pole." That frozen reserve is draining. When it goes, the water doesn't stop all at once — first it floods, then it fails.
"Climate change is no longer a distant threat. It's real and happening now."— PM K.P. Sharma Oli, opening the Sagarmatha Sambaad, May 2025
- Water securityNearly 2 billion people rely on HKH-fed rivers for drinking water, farming and power.
- Flood then droughtMelt swells rivers and glacial lakes now (GLOF risk), then leaves them short later.
- Warming, amplifiedHigh mountains warm faster than the global average — elevation-dependent warming.
- Livelihoods & foodMountain economies, downstream agriculture and hydropower all sit on this ice.
Kathmandu, May 2025: the mountains got a table of their own.
Nepal convened the first Sagarmatha Sambaad ("Everest Dialogue") — the first global dialogue on the fate of the Hindu Kush Himalaya. ~350 delegations from 50+ countries, on the theme Climate Change, Mountains and the Future of Humanity.
Turning a declaration into a standing, data-driven pact among Himalayan nations:
- A shared, transboundary glacier-monitoring backbone
- Joint early-warning for GLOFs and water shocks
- Pooled climate finance for mountain communities
- One voice for the Third Pole in global forums
Framing: the Compact is a forward-looking proposal, not an adopted treaty. CRYO-Q is the operating system it would need.
CRYO-Q — a living forecast of the ice, and a plan to protect it.
Warm silicon for speed. A quantum back-end for the hard part.
The two run as one hybrid loop — classical always answers; quantum is promoted only when it beats the classical baseline.
- Streams and harmonizes petabytes of live satellite & reanalysis data
- Runs neural-operator emulators for fast ensemble forecasting
- Serves the dashboard and alerts in near real time
- Executes the classical baseline every quantum result must beat
- qPCA & quantum kernels — find coupled drivers hidden in dense correlations
- Quantum sampling — draw calibrated forecast & risk distributions
- QAOA / annealing — optimize which interventions, where, under budget
- Amplitude estimation — threshold-exceedance risk with a quadratic speedup
The payoff: accurate predictions and near real-time, actionable insight — a classical result now, a quantum-sharpened one the moment it wins the A/B gate.
From a melting unknown to a managed, shared resource.
We can't refreeze the Himalaya by wishing.
But we can see the ice clearly, forecast it honestly, and act where it counts — warm silicon and quantum, in one loop.