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In quantum mechanics (and computation & information), weak measurements are a type of quantum measurement that results in an observer obtaining very little information about the system on average, but also disturbs the state very little.[1] From Busch's theorem the system is necessarily disturbed by the measurement.[2] In the literature weak measurements are also known as unsharp,[3] fuzzy,[3][4] dull, noisy,[5] approximate, and gentle[6] measurements. Additionally weak measurements are often confused with the distinct but related concept of the weak value.[7]

Contents

HistoryEdit

Weak measurements were first thought about in the context of weak continuous measurements of quantum systems[8] (i.e. quantum filtering and quantum trajectories). The physics of continuous quantum measurements is as follows. Consider using an ancilla, e.g. a field or a current, to probe a quantum system. The interaction between the system and the probe correlates the two systems. Typically the interaction only weakly correlates the system and ancilla. (Specifically, the interaction unitary need only to be expanded to first or second order in perturbation theory.) By measuring the ancilla and then using quantum measurement theory, the state of the system conditioned on the results of the measurement can be determined. In order to obtain a strong measurement, many ancilla must be coupled and then measured. In the limit where there is a continuum of ancilla the measurement process becomes continuous in time. This process was described first by: Mensky;[9][10] Belavkin;[11][12] Barchielli, Lanz, Prosperi;[13] Barchielli;[14] Caves;[15][16] Caves and Milburn.[17] Later on Howard Carmichael [18] and Howard M. Wiseman[19] also made important contributions to the field.

The notion of a weak measurement is often misattributed to Aharonov, Albert and Vaidman.[7] In their article they consider an example of a weak measurement (and perhaps coin the phrase "weak measurement") and use it to motivate their definition of a weak value, which they defined there for the first time.

MathematicsEdit

There is no universally accepted definition of a weak measurement. One approach is to declare a weak measurement to be a generalized measurement where some or all of the Kraus operators are close to the identity.[20] The approach taken below is to interact two systems weakly and then measure one of them.[21] After detailing this approach we will illustrate it with examples.

Weak interaction and ancilla coupled measurementEdit

Consider a system that starts in the quantum state   and an ancilla that starts in the state  , the combined initial state is  . These two systems interact via the Hamiltonian  , which generates the time evolutions   (in units where  ), where   is the "interaction strength", which has units of inverse time. Assume a fixed interaction time   and that   is small, such that  . A series expansion of   in   gives

 

Because it was only necessary to expand the unitary to a low order in perturbation theory, we call this is a weak interaction. Further, the fact that the unitary is predominately the identity operator, as   and   are small, implies that the state after the interaction is not radically different from the initial state. The combined state of the system after interaction is

 

Now we perform a measurement on the ancilla to find out about the system, this is known as an ancilla-coupled measurement. We will consider measurements in a basis   (on the ancilla system) such that  . The measurements action on both systems is described by the action of the projectors   on the joint state  . From quantum measurement theory we know the conditional state after the measurement is

 

where   is a normalization factor for the wavefunction. Notice the ancilla system state records the outcome of the measurement. The object   is an operator on the system Hilbert space and is called a Kraus operator.

With respect to the Kraus operators the post-measurement state of the combined system is

 

The objects   are elements of what is called a POVM and must obey   so that the corresponding probabilities sum to unity:  . As the ancilla system is no longer correlated with the primary system, it is simply recording the outcome of the measurement, we can trace over it. Doing so gives the conditional state of the primary system alone:

 

which we still label by the outcome of the measurement  . Indeed, these considerations allow one to derive a quantum trajectory.

Example Kraus operatorsEdit

We will use the canonical example of Gaussian Kraus operators given by Barchielli, Lanz, Prosperi;[13] and Caves and Milburn.[17] Take  , where the position and momentum on both systems have the usual Canonical commutation relation  . Take the initial wavefunction of the ancilla to have a Gaussian distribution

 

The position wavefunction of the ancilla is

 

The Kraus operators are (compared to the discussion above, we set  )

 

while the corresponding POVM elements are

 

which obey  . An alternative representation is often seen in the literature. Using the spectral representation of the position operator  , we can write

 

Notice that  .[17] That is, in a particular limit these operators limit to a strong measurement of position; for other values of   we refer to the measurement as finite-strength; and as  , we say the measurement is weak.

Information-gain–disturbance tradeoffEdit

As stated above, Busch's theorem prevents a free lunch: there can be no information gain without disturbance. However, the tradeoff between information gain and disturbance has been characterized by many authors, including Fuchs and Peres;[22] Fuchs;[23] Fuchs and Jacobs;[24] and Banaszek.[25]

Recently the information-gain–disturbance tradeoff relation has been examined in the context of what is called the "gentle-measurement lemma".[6][26]

ApplicationsEdit

Since the early days it has been clear that the primary use of weak measurement would be for feedback control or adaptive measurements of quantum systems. Indeed, this motivated much of Belavkin's work, and an explicit example was given by Caves and Milburn. An early application of an adaptive weak measurements was that of Dolinar's receiver,[27] which has been realized experimentally.[28][29] Another interesting application of weak measurements is to use weak measurements followed by a unitary[clarify] to synthesize other generalized measurements.[20] Wiseman and Milburn's book[21] is a good reference for many of the modern developments.

Suggested further readingEdit

  • Brun's article[1]
  • Jacobs and Steck's article[30]
  • Quantum Measurement Theory and its Applications, K. Jacobs (Cambridge Press, 2014) ISBN 9781107025486
  • Quantum Measurement and Control, H. M. Wiseman and G. J. Milburn (Cambridge Press, 2009)[21]
  • Tamir and Cohen's article[31]

ReferencesEdit

  1. ^ a b Todd A Brun (2002). "A simple model of quantum trajectories". Am. J. Phys. 70 (7): 719–737. arXiv:quant-ph/0108132. Bibcode:2002AmJPh..70..719B. doi:10.1119/1.1475328.
  2. ^ Paul Busch (2009). J. Christian; W.Myrvold (eds.). "No Information Without Disturbance": Quantum Limitations of Measurement. The University of Western Ontario Series in Philosophy of Science. Invited contribution, "Quantum Reality, Relativistic Causality, and Closing the Epistemic Circle: An International Conference in Honour of Abner Shimony", Perimeter Institute, Waterloo, Ontario, Canada, July 18–21, 2006. 73. Springer-Verlag, 2008. pp. 229–256. arXiv:0706.3526. doi:10.1007/978-1-4020-9107-0. ISBN 978-1-4020-9106-3. ISSN 1566-659X.
  3. ^ a b Stan Gudder (2005). Andrei Khrennikov; Olga Nanasiova; Endre Pap (eds.). "Non-disturbance for fuzzy quantum measurements". Fuzzy Sets and Systems. Fuzzy Sets and Systems, Volume 155, Issue 1, Pages 1-164 (1 October 2005) Measures and conditioning, Measures and conditioning. 155: 18–25. doi:10.1016/j.fss.2005.05.009.
  4. ^ Asher Peres (1993). Quantum Theory, Concepts and Methods. Kluwer. p. 387. ISBN 978-0-7923-2549-9.
  5. ^ A. N. Korotkov (2009). Y. v. Nazarov (ed.). Quantum Noise in Mesoscopic Physics. Quantum Noise in Mesoscopic Physics. Springer Netherlands. pp. 205–228. arXiv:cond-mat/0209629. doi:10.1007/978-94-010-0089-5_10. ISBN 978-1-4020-1240-2.
  6. ^ a b A. Winter (1999). "Coding Theorem and Strong Converse for Quantum Channels". IEEE Trans. Inf. Theory. 45 (7): 2481–2485. arXiv:1409.2536. doi:10.1109/18.796385.
  7. ^ a b Yakir Aharonov; David Z. Albert & Lev Vaidman (1988). "How the result of a measurement of a component of the spin of a spin-1/2 particle can turn out to be 100". Physical Review Letters. 60 (14): 1351–1354. Bibcode:1988PhRvL..60.1351A. doi:10.1103/PhysRevLett.60.1351. PMID 10038016.
  8. ^ A. Clerk; M. Devoret; S. Girvin; F. Marquardt; R. Schoelkopf (2010). "Introduction to quantum noise, measurement, and amplification". Rev. Mod. Phys. 82 (2): 1155–1208. arXiv:0810.4729. Bibcode:2010RvMP...82.1155C. doi:10.1103/RevModPhys.82.1155.
  9. ^ M. B. Mensky (1979). "Quantum restrictions for continuous observation of an oscillator". Phys. Rev. D. 20 (2): 384–387. Bibcode:1979PhRvD..20..384M. doi:10.1103/PhysRevD.20.384.
  10. ^ M. B. Menskii (1979). "Quantum restrictions on the measurement of the parameters of motion of a macroscopic oscillator". Zhurnal Éksperimental'noĭ i Teoreticheskoĭ Fiziki. 77 (4): 1326–1339.
  11. ^ V. P. Belavkin (1980). "Quantum filtering of Markov signals with white quantum noise". Radiotechnika I Electronika. 25: 1445–1453.
  12. ^ V. P. Belavkin (1992). "Quantum continual measurements and a posteriori collapse on CCR". Commun. Math. Phys. 146 (3): 611–635. arXiv:math-ph/0512070. Bibcode:1992CMaPh.146..611B. doi:10.1007/bf02097018.
  13. ^ a b A. Barchielli; L. Lanz; G. M. Prosperi (1982). "A model for the macroscopic description and continual observations in quantum mechanics". Il Nuovo Cimento B. 72 (1): 79–121. Bibcode:1982NCimB..72...79B. doi:10.1007/BF02894935.
  14. ^ A. Barchielli (1986). "Measurement theory and stochastic differential equations in quantum mechanics". Phys. Rev. A. 34 (3): 1642–1649. Bibcode:1986PhRvA..34.1642B. doi:10.1103/PhysRevA.34.1642.
  15. ^ Carlton M. Caves (1986). "Quantum mechanics of measurements distributed in time. A path-integral formulation". Phys. Rev. D. 33 (6): 1643–1665. Bibcode:1986PhRvD..33.1643C. doi:10.1103/PhysRevD.33.1643.
  16. ^ Carlton M. Caves (1987). "Quantum mechanics of measurements distributed in time. II. Connections among formulations". Phys. Rev. D. 35 (6): 1815–1830. Bibcode:1987PhRvD..35.1815C. doi:10.1103/PhysRevD.35.1815.
  17. ^ a b c Carlton M. Caves; G. J. Milburn (1987). "Quantum-mechanical model for continuous position measurements". Phys. Rev. A. 36 (12): 5543–5555. Bibcode:1987PhRvA..36.5543C. doi:10.1103/PhysRevA.36.5543.
  18. ^ Carmichael, Howard (1993). An open systems approach to quantum optics, Lecture Notes in Physics. ;: Springer.
  19. ^ Wiseman's thesis
  20. ^ a b O. Oreshkov; T. A. Brun (2005). "Weak Measurements Are Universal". Phys. Rev. Lett. 95 (11): 110409. arXiv:quant-ph/0503017. Bibcode:2005PhRvL..95k0409O. doi:10.1103/PhysRevLett.95.110409.
  21. ^ a b c Wiseman, Howard M.; Milburn, Gerard J. (2009). Quantum Measurement and Control. Cambridge; New York: Cambridge University Press. p. 460. ISBN 978-0-521-80442-4.
  22. ^ C. A. Fuchs; A. Peres (1996). "Quantum-state disturbance versus information gain: Uncertainty relations for quantum information". Phys. Rev. A. 53 (4): 2038–2045. arXiv:quant-ph/9512023. Bibcode:1996PhRvA..53.2038F. doi:10.1103/PhysRevA.53.2038.
  23. ^ C. A. Fuchs (1996). "Information Gain vs. State Disturbance in Quantum Theory". arXiv:quant-ph/9611010. Bibcode:1996quant.ph.11010F.
  24. ^ C. A. Fuchs; K. A. Jacobs (2001). "Information-tradeoff relations for finite-strength quantum measurements". Phys. Rev. A. 63 (6): 062305. arXiv:quant-ph/0009101. Bibcode:2001PhRvA..63f2305F. doi:10.1103/PhysRevA.63.062305.
  25. ^ K. Banaszek (2006). "Quantum-state disturbance versus information gain: Uncertainty relations for quantum information". Open Syst. Inf. Dyn. 13: 1–16. arXiv:quant-ph/0006062. doi:10.1007/s11080-006-7263-8.
  26. ^ T. Ogawa; H. Nagaoka (1999). "A New Proof of the Channel Coding Theorem via Hypothesis Testing in Quantum Information Theory". IEEE Trans. Inf. Theory. 45 (7): 2486–2489. arXiv:quant-ph/0208139. Bibcode:2002quant.ph..8139O. doi:10.1109/18.796386.
  27. ^ S. J. Dolinar (1973). "An optimum receiver for the binary coherent state quantum channel". MIT Res. Lab. Electron. Quart. Progr. Rep. 111: 115–120.
  28. ^ R. L. Cook; P. J. Martin; J. M. Geremia (2007). "Optical coherent state discrimination using a closed-loop quantum measurement". Nature. 446 (11): 774–777. Bibcode:2007Natur.446..774C. doi:10.1038/nature05655. PMID 17429395.
  29. ^ F. E. Becerra; J. Fan; G. Baumgartner; J. Goldhar; J. T. Kosloski; A. Migdall (2013). "Experimental demonstration of a receiver beating the standard quantum limit for multiple nonorthogonal state discrimination". Nature Photonics. 7 (11): 147–152. Bibcode:2013NaPho...7..147B. doi:10.1038/nphoton.2012.316.
  30. ^ K. Jacobs; D. A. Steck (2006). "A straightforward introduction to continuous quantum measurement". Contemporary Physics. 47 (5): 279–303. arXiv:quant-ph/0611067. Bibcode:2006ConPh..47..279J. doi:10.1080/00107510601101934.
  31. ^ Boaz Tamir; Eliahu Cohen (2013). "Introduction to Weak Measurements and Weak Values". Quanta. 2 (1): 7–17. doi:10.12743/quanta.v2i1.14.