Simulating spin flips in a quantum measurmenet scheme

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SUMMARY

This discussion focuses on simulating a two-point quantum measurement scheme for an ensemble of spin-1/2 nuclei to mitigate quantum statistical noise. The signal-to-noise ratio (SNR) is defined as P*SQRT(N), where P is the net polarization and N is the number of spins, with typical polarizations around 10^-5. The proposed method involves measuring fluctuations in spin magnetization at two different times to maintain an SNR of approximately 1 even with fewer spins. The user seeks guidance on implementing Monte Carlo methods to simulate random spin flips during the evolution and detection periods.

PREREQUISITES
  • Understanding of quantum measurement principles, specifically in NMR contexts.
  • Familiarity with Monte Carlo simulation techniques.
  • Basic knowledge of spin-1/2 nuclei behavior in magnetic fields.
  • Experience with programming for simulation purposes.
NEXT STEPS
  • Research Monte Carlo methods for simulating spin dynamics in quantum systems.
  • Explore algorithms for implementing random spin flips in quantum simulations.
  • Study the effects of quantum noise in NMR experiments.
  • Investigate existing software tools for quantum simulations, such as Qiskit or QuTiP.
USEFUL FOR

Quantum physicists, researchers in quantum computing, and anyone interested in simulating quantum measurement schemes in NMR experiments.

ramez
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I am trying to simulate a two-point quantum measurment on an ensemble of spin-1/2 nuclei. The purpose of this measurment is to mitigate the effects of quantum statistical noise. If we assume that the signal-to-noise ratio (SNR) looks P*SQRT(N) where P is the net polarization of spins in a magnetic field and N is the number of spins. Typical polarizations are on the order of 10^-5 therefore for N < 10^10 the SNR falls below 1. If instead we make a two-point measurement in which the fluctuations in the spin magnetization are measured at two times, the correlations in the fluctuations will produce a SNR that is approximately 1 all the way down to one spin.

I don't have very much experience in programming and would like to simulate this experiment for various numbers of spins. The spins are free to evolve for a time period t1 and are detected during a time period t2. I would like to assume that random spin flips may occur during both of these periods and presume that Monte Carlo methods may be best to use here. The only Monte Carlo simulations I've seen deal with Ising systems dealing with ferromagnetic or antiferromagnetic systems which I think are not applicable. I'm guessing the algorithm necessary to have random spin flips during a period of time is relatively straightforward, but I'm stuck. Any help would be appeciated. Thanks in advance!
 
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I don't understand : do you want to simulate an EPRB experiment ?
 
No, I want to simulate an NMR experiment in which the sample size is small enough for quantum mechanical spin noise to dominate all other noise sources.
 

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