Why Quantum Particles Make Noise ✛ ✎

Original: "Quantum Model Of Spin Noise"
· R. Annabestani, D. G. Cory, J. Emerson
arXiv:1407.7620 · 2014-07-29 · arXiv non-exclusive · independent analysis · 1 min
The noise from quantum particles is a trace left by measurements, not random fields.

Even if quantum particles lie still, they still produce noise. This noise resembles the traces left after each measurement. Previously, scientists thought that random fields caused the noise, but now it has turned out that the measurements themselves create it.

An interpreter gets distracted by every rustle in the hall, and a one-hour meeting stretches into two. Similarly, a quantum system: each measurement leaves an imprint, altering its state. The scientists built a model where particle evolution is a chain of measurements and evolutions. For strong measurements, they use projectors; for weak ones, POVM elements with a Gaussian profile.

Noise grows as the square root of the number of particles. If there are 100 particles, the noise is 10 times larger than that of a single one.

This discovery helps in quantum computers, where noise prevents particles from retaining information. Now engineers can better design error correction schemes, knowing where the noise comes from. And in precision sensors, such as magnetometers, the signal can be interpreted more accurately.

In 1946, Felix Bloch predicted that even without an external magnetic field, a spin ensemble exhibits a fluctuating magnetic moment proportional to the square root of the number of particles. This effect was experimentally confirmed only decades later.

R(k) = \frac{N}{4} e^{-t_k/T}
The correlation between measurements decays exponentially with time
\sigma[M; t_1] = \frac{1}{2}\sqrt{N}
The noise grows as the square root of the number of spins
Scientists
Niels BohrPascual JordanWerner HeisenbergEnrico FermiPaul DiracWolfgang Pauli
Concepts
statistical noise spin foam quantum number spin–statistics theorem jitter random fluctuation stochastic fluctuations spin axis fluctuation oscillation instability wave function uncertainty stochastic neutrino oscillations virtual particle Neural Network Oscillations spin probability theory vibration