Improving Measurement Precision with Weak Measurements

Slides:



Advertisements
Similar presentations
Learning Introductory Signal Processing Using Multimedia 1 Outline Overview of Information and Communications Some signal processing concepts Tools available.
Advertisements

Quantum Information Stephen M. Barnett University of Strathclyde The Wolfson Foundation.
Cooling a mechanical oscillator to its quantum ground state enables the exploration of the quantum nature and the quantum–classical boundary of an otherwise.
Quantum Coherent Control with Non-classical Light Department of Physics of Complex Systems The Weizmann Institute of Science Rehovot, Israel Yaron Bromberg,
Durham University – Atomic & Molecular Physics group
Space-time positioning at the quantum limit with optical frequency combs Workshop OHP September 2013 Valérian THIEL, Pu JIAN, Jonathan ROSLUND, Roman SCHMEISSNER,
A Simple Model of Quantum Trajectories Todd A. Brun University of Southern California.
Quantum random walks Andre Kochanke Max-Planck-Institute of Quantum Optics 7/27/2011.
Sergey Kucheryavski Raman spectroscopy Acquisition, preprocessing and analysis of spectra.
Collaboration FST-ULCO 1. Context and objective of the work  Water level : ECEF Localization of the water surface in order to get a referenced water.
Samansa Maneshi, Jalani Kanem, Chao Zhuang, Matthew Partlow Aephraim Steinberg Department of Physics, Center for Quantum Information and Quantum Control,
A Generic Framework for Handling Uncertain Data with Local Correlations Xiang Lian and Lei Chen Department of Computer Science and Engineering The Hong.
14.1 ARITHMETIC MEAN Experimental Readings are scattered around amean value Fig Scatter of the readings around the mean value.
Wavefunction Quantum mechanics acknowledges the wave-particle duality of matter by supposing that, rather than traveling along a definite path, a particle.
Backward Evolving Quantum State Lev Vaidman 2 March 2006.
MFT: Theoretical Basis
Universal Optical Operations in Quantum Information Processing Wei-Min Zhang ( Physics Dept, NCKU )
PERFORMANCE OF THE DELPHI REFRACTOMETER IN MONITORING THE RICH RADIATORS A. Filippas 1, E. Fokitis 1, S. Maltezos 1, K. Patrinos 1, and M. Davenport 2.
Long coherence times with dense trapped atoms collisional narrowing and dynamical decoupling Nir Davidson Yoav Sagi, Ido Almog, Rami Pugatch, Miri Brook.
Lecture 17: Intro. to Quantum Mechanics
Basic Image Processing January 26, 30 and February 1.
Ground-Based Altimetry Using a Single- Receiver Single-Frequency GNSS Phase Ambiguity Resolution Technique G. Stienne* S. Reboul J.-B. Choquel M. Benjelloun.
Quantum Devices (or, How to Build Your Own Quantum Computer)
Normalization of the Speech Modulation Spectra for Robust Speech Recognition Xiong Xiao, Eng Siong Chng, and Haizhou Li Wen-Yi Chu Department of Computer.
Detecting Electrons: CCD vs Film Practical CryoEM Course July 26, 2005 Christopher Booth.
ElectroScience Lab IGARSS 2011 Vancouver Jul 26th, 2011 Chun-Sik Chae and Joel T. Johnson ElectroScience Laboratory Department of Electrical and Computer.
Workshop on the Chemistry of Information Technology Welcome! Acknowledgements The American Chemical Society Petroleum Research Fund Type H Grant Program.
Cophasing activities at Onera
Analysis of Phase Noise in a fiber-optic link
R. Demkowicz-Dobrzański 1, J. Kołodyński 1, M. Guta 2 1 Faculty of Physics, Warsaw University, Poland 2 School of Mathematical Sciences, University of.
Weak Values in Quantum Measurement Theory - Concepts and Applications - Yutaka Shikano 07M01099 Department of Physics, Tokyo Institute of Technology “Master.
White Light Cavity Ideas and General Sensitivity Limits Haixing Miao Summarizing researches by several LSC groups GWADW 2015, Alaska University of Birmingham.
Ch 9 pages Lecture 22 – Harmonic oscillator.
Statistics and the Verification Validation & Testing of Adaptive Systems Roman D. Fresnedo M&CT, Phantom Works The Boeing Company.
 (Worse) It is a fact that engineers select an appropriate variable and the transformed observations are treated as though they are normally distributed.
Detection and estimation of abrupt changes in Gaussian random processes with unknown parameters By Sai Si Thu Min Oleg V. Chernoyarov National Research.
1 Comparing Internal Models of the Dynamics of the Visual Environment S. Carver, T. Kiemel, H. van der Kooij, J.J. Jeka Biol. Cybern. 92, 147–163 (2005)
S. ChelkowskiSlide 1WG1 Meeting, Birmingham 07/2008.
Tony Hyun Kim (Partner: Connor McEntee) 10/31/ MW2-5 Prof. Roland.
Effective Non-Hermitian Hamiltonian of a pre- and post-selected quantum system Lev Vaidman
Model Fusion and its Use in Earth Sciences R. Romero, O. Ochoa, A. A. Velasco, and V. Kreinovich Joint Annual Meeting NSF Division of Human Resource Development.
A Random Subgrouping Scheme for Ensemble Kalman Filters Yun Liu Dept. of Atmospheric and Oceanic Science, University of Maryland Atmospheric and oceanic.
Optical implementation of the Quantum Box Problem Kevin Resch Jeff Lundeen Aephraim Steinberg Department of Physics, University of Toronto AKA: Let's Make.
Performance of Digital Communications System
CARMA Models for Stochastic Variability (or how to read a PSD) Jim Barrett University of Birmingham.
In conclusion the intensity level of the CCD is linear up to the saturation limit, but there is a spilling of charges well before the saturation if.
Chapter 3 Postulates of Quantum Mechanics. Questions QM answers 1) How is the state of a system described mathematically? (In CM – via generalized coordinates.
Prebunching electron beam and its smearing due to ISR-induced energy diffusion Nikolai Yampolsky Los Alamos National Laboratory Fermilab; February 24,
Metrology and integrated optics Geoff Pryde Griffith University.
Single-photon single-ion interaction in front of a parabolic mirror Magdalena Stobińska, Robert Alicki, Gerd Leuchs Erlangen-Nürnberg University Max Planck.
Saturation Roi Levy. Motivation To show the deference between linear and non linear spectroscopy To understand how saturation spectroscopy is been applied.
Random signals Honza Černocký, ÚPGM.
Sub-Planck Structure and Weak Measurement
Statistical Methods Michael J. Watts
Physics 114: Lecture 13 Probability Tests & Linear Fitting
Statistical Methods Michael J. Watts
the illusion of the Heisenberg scaling
Unusual Interactions of Pre- and Post-Selected Particles
Optimum Passive Beamforming in Relation to Active-Passive Data Fusion
with Weak Measurements
Instrumentation for Colliding Beam Physics 2017
Error rate due to noise In this section, an expression for the probability of error will be derived The analysis technique, will be demonstrated on a binary.
Quantum Information with Continuous Variables
Basic Image Processing
Quantum noise of white light cavity using double-gain medium
Range.
Location models for airline hubs behaving as M/D/c queues
University of California, Berkeley
Quantum phase magnification
Optical π phase shift created with a single-photon pulse
Presentation transcript:

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 Time and frequency as a meter for weak measurements New derivation for imaginary weak values If time permits

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:

The Von Neumann Scheme System

The Von Neumann Scheme System Measurment Device (meter)

The Von Neumann Scheme System

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

How does it happen?

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:

What can we do with WM? Fundamental Physics Practical applications JS Lundeen et al. Nature 474, 188-191 (2011) doi:10.1038/nature10120 Direct measurement of the photon transverse wavefunction. Fig. 1 Experimental setup for measuring the average photon trajectories. S Kocsis et al. Science 2011;332:1170-1173

SNR in weak measurements Method SNR Normal Re WV Im WV

Technical ”x” noise Method SNR Normal Re WV Im WV

Technical ”P” noise Method SNR Normal Re WV Im WV

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

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

Can time be a meter?

Can time be a meter?

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

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

Applying to experiments is when the light hits the mirror

Applying to experiments

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

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

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

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

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?