Research category
Quantum Technology
How can fragile quantum effects become reliable processors, networks, and measuring instruments?
The field in perspective
An ideal protocol becomes a technology only when control, noise, measurement, and resource costs can be handled together. The important comparison is with a credible alternative under the same conditions.
These pages connect small mathematical models to measurable engineering requirements. Illustrative parameters explain a trade-off; they are not forecasts or rankings of current devices.
Fundamental questions
- Can quantum devices remain controllable as they grow?
A scalable device must preserve useful control and verifiable performance as calibration, connectivity, and correlated errors grow.
- Can quantum networks overcome distance and loss?
Repeaters promise a different rate–distance trade-off, but loss, memory, and scheduling must be accounted for together.
- When does entanglement improve a measurement?
The ideal Heisenberg scaling is a starting point; useful sensing advantage must survive noise and equal-resource comparisons.