The reduction of unwanted random fluctuations in a signal or quantum system.Noise suppression refers to the techniques used to reduce unwanted random fluctuations that obscure a signal, whether in electronic circuits, optical systems, or quantum measurements. In quantum mechanics, noise is not just a nuisance—it is a fundamental limit set by the Heisenberg uncertainty principle, which dictates that certain measurements cannot be made perfectly simultaneously. Suppressing noise is therefore crucial for achieving high precision in experiments and technologies like quantum computing and gravitational wave detection.
The study of noise suppression in quantum systems gained prominence in the 1980s with the development of quantum nondemolition measurements and squeezed light, pioneered by Carlton Caves and others.
Noise suppression methods vary by context. In classical electronics, it involves filtering, shielding, and feedback loops. In quantum systems, techniques like squeezing redistribute noise between conjugate variables (e.g., position and momentum) to reduce fluctuations in one at the expense of the other. Dynamical decoupling uses carefully timed pulses to cancel out environmental disturbances, while error correction codes detect and fix errors caused by residual noise.
Noise suppression is essential in gravitational wave detectors like LIGO, quantum key distribution, and high-precision atomic clocks.
Quantum squeezing, a noise suppression technique, was used in LIGO to double its sensitivity, enabling the first detection of gravitational waves in 2015.






