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Improving Measurement Precision with Weak Measurements

Improving Measurement Precision with Weak Measurements. Yaron Kedem. Computational Challenges in Nuclear and Many Body Physics 01/10/2014. Outline. Overview of weak measurements Signal to noise ratio in weak measurements Using noise to increase the signal to noise ratio

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Improving Measurement Precision with Weak Measurements

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  1. Improving Measurement Precision with Weak Measurements YaronKedem Computational Challenges in Nuclear and Many Body Physics 01/10/2014

  2. Outline • Overview of weak measurements • Signal to noise ratio in weak measurements • Using noise to increase the signal to noise ratio • Time and frequency as a meter for weak measurements • New derivation for imaginary weak values If time permits

  3. Weak Measurements • Three-step procedure: 1. System preparation (preselection): 2. Weak coupling to a meter: 3. Postselection on the system: • The final state of the meter is given by the weak value: • For example:

  4. The Von Neumann Scheme System

  5. The Von Neumann Scheme System Measurment Device (meter)

  6. The Von Neumann Scheme System

  7. Weak Measurements small ∆Q → large ∆P → large H → “strong” large ∆Q → small ∆P → small H → “weak” System Postselection

  8. How does it happen?

  9. Slightly more rigorous derivation The meter’s final state is its initial state after it was operated on by the evolution operator: For example, a Gaussian meter:

  10. Direct measurement of the photon transverse wavefunction. What can we do with WM? JS Lundeen et al. Nature474, 188-191 (2011) doi:10.1038/nature10120 Fundamental Physics Practical applications Fig. 1 Experimental setup for measuring the average photon trajectories. S Kocsis et al. Science 2011;332:1170-1173

  11. SNR in weak measurements

  12. Technical ”x” noise

  13. Technical ”P” noise

  14. ”Mathematical” derivation Y. K. PRA 85, 060102 (2012)

  15. Conclusions • The concept of Weak Value offers intuition regarding a measurement process • A clear view of an experimental setup can help overcoming technical difficulties • Uncertainty can be seen as a resource in some scenarios • Results derived from the basic structure of QM are applicable in many contexts

  16. Can time be a meter?

  17. Can time be a meter?

  18. Alternative derivation Consider the simple(st?) Hamiltonian: Starting with , the probability to find , in the end is If had an initial distribution , after a postselection to , it is distributed as The new average of is given by

  19. Applying to experiments is the time the atom was in an excited state

  20. Applying to experiments is when the light hits the mirror

  21. Applying to experiments

  22. Phase Estimation with Weak Measurement Using a White Light Source (LED) Two problems: 1. Linear polarizers → real weak value 2. The average frequency is large One solution: we separate the known average and the uncertainty. The average produce an imaginary part and the uncertainty is smaller than the average

  23. Phase Estimation with Weak Measurement Using a White Light Source (LED)

  24. Phase Estimation with Weak Measurement Using a White Light Source (LED) • Dispersion have (almost) no effect • Spectral filter decrease the shift drastically • Long stability time

  25. New concept, New technique Weak measurements with real weak value Von Neumann Scheme Weak measurements with imaginary weak value Interferometry

  26. Conclusions • An alternative derivation for the effect of an • imaginary weak value • The new formalism does not require the meter to • be a quantum variable • A method based on this effect is described by a • new measurement model • Possible applications for a wide range of tasks Any Questions?

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