<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JMP</journal-id><journal-title-group><journal-title>Journal of Modern Physics</journal-title></journal-title-group><issn pub-type="epub">2153-1196</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jmp.2013.411A1001</article-id><article-id pub-id-type="publisher-id">JMP-39714</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Weak Values Influenced by Environment
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>asashi</surname><given-names>Ban</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Graduate School of Humanities and Sciences, Ochanomizu University, Bunkyo-ku, Japan</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>ban.masashi@ocha.ac.jp</email></corresp></author-notes><pub-date pub-type="epub"><day>19</day><month>11</month><year>2013</year></pub-date><volume>04</volume><issue>11</issue><fpage>1</fpage><lpage>8</lpage><history><date date-type="received"><day>August</day>	<month>24,</month>	<year>2013</year></date><date date-type="rev-recd"><day>September</day>	<month>25,</month>	<year>2013</year>	</date><date date-type="accepted"><day>October</day>	<month>24,</month>	<year>2013</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   A weak value of an observable is studied for a quantum system which is placed under the influence of an environment, where a quantum system irreversibly evolves from a pre-selected state to a post-selected state. A general expression for a weak value influenced by an environment is provided. For a Markovian environment, the weak value is calculated in terms of the predictive and retrodictive density matrices, or by means of the quantum regression theorem. For a non-Markovian environment, a weak value is examined by making use of exactly solvable models. It is found that although the anomalous property is significantly suppressed by a Markovian environment, it can survive a non-Markovian environment. 
 
</p></abstract><kwd-group><kwd>Weak Value; Quantum Measurement; Decoherence</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>One of the most characteristic features of quantum mechanics lies in a measurement process which provides some information about an observable of a quantum system to be measured [<xref ref-type="bibr" rid="scirp.39714-ref1">1</xref>]. When an appropriately prepared measuring device is strongly coupled to a system, we can obtain one of eigenvalues, say a, of a measured observable <img src="1-7501507\0fe847a6-5520-4f16-b73a-8a22ad7f15c3.jpg" /> from the value exhibited by a pointer observable of the measuring device. The result <img src="1-7501507\8634ce6a-c37e-4cb3-969f-00eef40a1377.jpg" /> is obtained with probability<img src="1-7501507\e5a0b779-a328-4a92-ac82-73125343cc5e.jpg" />, where <img src="1-7501507\eb27678d-fceb-4d52-bd83-ac0dbe90239d.jpg" /> is an initial state of the measured system and <img src="1-7501507\dc94ef34-d972-4b2b-9e19-cec6942adb15.jpg" /> is the corresponding eigenstate of<img src="1-7501507\e61c7f5e-bc89-4624-b3b7-16d13135bac8.jpg" />. When we perform measurement on an ensemble of identically prepared systemswe derive the average value <img src="1-7501507\7544db6c-ccb7-46c7-b12a-4b02ace87a23.jpg" /> of the observable from the measurement outcomes. It is obvious that the average value lies inside the spectral range of the observable<img src="1-7501507\d5b20c8e-8b15-4a44-8d7c-187e654d7ef4.jpg" />. Hence what we can obtain by quantum measurement is the eigenvalue and average value of the observable. However this is not only the story. In a usual measurement process, the measured system is not referred after the interaction with the measuring device, though it is prepared in an initial state before the interaction. Only the pre-selection of the system is performed. In 1988, Aharonov, Albert and Vaidman [<xref ref-type="bibr" rid="scirp.39714-ref2">2</xref>] have found that if an interaction between a system and a measuring device is sufficiently weak and the measured system is post-selected in a state <img src="1-7501507\bd0fa677-dc44-4a41-9438-768e8da09fc3.jpg" /> after the interaction with the measuring device, the weak value <img src="1-7501507\afd6dad3-4cc5-47cc-a9b7-e1a3d209ccc0.jpg" /> of an observable <img src="1-7501507\6999c8eb-460a-41ac-989a-a683dae6baa2.jpg" /> can be obtained from the measurement outcomes. It is surprising that the weak value may take a complex value or a value outside the range of the eigenvalues of an observable. After the discovery of the weak value of an observable, many works have been performed for understanding and generalizing weak values [3-14], and furthermore the weak value has been observed experimentally [15,16].</p><p>In the most of the previous works on weak values, dynamics or time evolution of a system to be measured has been neglected. Only the interaction Hamiltonian between a system and a measuring device has been taken into account. However, since a measured system in a real world is unavoidably influenced by an environment, we have to consider the effect of the environment on the weak value as well as intrinsic dynamics of the system. Hence it is interesting to investigate the decoherence of weak values during the irreversible time evolution of a system from pre-selected state to a post-selected state. The irreversible time evolution of a system caused by an interaction with an environment is usually studied by means of the quantum master equation [17,18]. However, the post-selection of the system that is essential for weak values makes it very difficult to investigate the irreversible time evolution by the usual method when an environment is non-Markovian. Therefore, in this paper, we will consider the effect of the irreversible time evolution of the system on the weak value of an observable. In Section 2, we provides a general expression of a weak value during the irreversible time evolution of a quantum system between preand post-selection. We will find that the weak value can be calculated by the quantum master equation or by the quantum regression theorem [<xref ref-type="bibr" rid="scirp.39714-ref18">18</xref>] when the environment is Markovian. To investigate the weak value in the case of a non-Markovian environment, we consider the stochastic dephasing in Section 3 and the single excitation multi-mode Jayes-Cummings model in Section 4, where we can obtain the exact expressions of the weak values in both cases. We provide a brief summary in Section 5.</p></sec><sec id="s2"><title>2. Dynamics of Weak Values Influenced by Environment</title><p>We suppose that a quantum system to be measured is placed under the influence of an environment and is initially prepared or pre-selected in a quantum state <img src="1-7501507\26fa2bc5-b5d2-4331-b6b6-e2af08b5aacc.jpg" /> at time<img src="1-7501507\286a37a7-011b-4367-a636-4128cc9390c6.jpg" />. When there is no initial correlation between them, the equality <img src="1-7501507\0b1bdc5e-529d-4790-a371-a05a4b73b490.jpg" /> holds, where <img src="1-7501507\7dec1a2f-45cb-4a1b-ac4e-07a00e5ef605.jpg" /> is an equilibrium state of the environment. To measure a system observable<img src="1-7501507\8639e130-1d82-477d-8aba-c48eedd6353c.jpg" />, we prepare a measuring device in an appropriate quantum state<img src="1-7501507\e69d8d4c-568d-4bd1-b7ee-c79f2ad2c1bb.jpg" />. The interaction Hamiltonian between the system and the measuring device is assumed to be <img src="1-7501507\f4b7aa2a-0aeb-4e3a-afdf-a325dad0a089.jpg" />, where <img src="1-7501507\8585abbc-e31f-49ad-ac3a-6063a2c9a761.jpg" /> stands for the measurement time and <img src="1-7501507\6e786c61-9454-480b-afe6-3040dc6965cb.jpg" /> is a momentum operator of the measuring device, which is canonically conjugate to a position operator (a pointer observable)<img src="1-7501507\25a0299d-2b2e-4b37-a2ce-7fdd37ed3509.jpg" />. The system and environment evolve until the measurement is performed at time <img src="1-7501507\ab170777-f4ef-415e-90ce-6c9c1b46709b.jpg" /> while the measurement device remains unchanged. We denote as <img src="1-7501507\6e4c8c7a-2142-4717-b163-1c9b0fa20ad3.jpg" /> the unitary operator which describes such time evolution. Then the quantum state of the total system just before the measurement is given by the density operator<img src="1-7501507\019bd0f1-0e9d-41dc-be8d-882b60581d58.jpg" />and it becomes<img src="1-7501507\f9715565-1b21-46a4-9a59-723eceac65fa.jpg" />just after the interaction with the measuring device. After the interaction, the system and environment further evolves until the post-selection is performed on the system at time<img src="1-7501507\47f484af-c29d-401e-a19a-dcb820737c6d.jpg" />. Hence we obtain the quantum state just before the post-selection,</p><disp-formula id="scirp.39714-formula11921"><label>(1.1)</label><graphic position="anchor" xlink:href="1-7501507\e9b7b39f-df39-4df1-8b33-5cf95a45a394.jpg"  xlink:type="simple"/></disp-formula><p>The post-selection performed on the system is, in general, described by means of probability operatorvalued measure which is denoted as<img src="1-7501507\22caf161-54e0-4eea-90e6-67b40f4ef804.jpg" />. We obtain the joint probability that the post-selection is succeeded and the measuring device exhibits the value q of the pointer observable<img src="1-7501507\2fd96f2f-12de-4ec4-8175-4f0045a42b6f.jpg" />,</p><disp-formula id="scirp.39714-formula11922"><label>(1.2)</label><graphic position="anchor" xlink:href="1-7501507\7051893e-71f8-44ba-b7ba-c0a408011bb6.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="1-7501507\48fe8921-6c28-4f57-80d6-c015eb28aa57.jpg" /> is the eigenstate of the pointer observable such that <img src="1-7501507\dcbd65fe-c026-4eba-89aa-6e9d1365d078.jpg" /> and <img src="1-7501507\2f28299b-0249-47bb-9273-714b837f7131.jpg" /> stands for the trace operator over the Hilbert spaces of the system and the environment. Using the Bayes theorem [<xref ref-type="bibr" rid="scirp.39714-ref19">19</xref>], the conditional probability that the measurement outcome is <img src="1-7501507\d274e690-1b6e-4f02-b8bc-8482518b1085.jpg" /> if the post-selection is succeeded becomes</p><disp-formula id="scirp.39714-formula11923"><label>(1.3)</label><graphic position="anchor" xlink:href="1-7501507\65cba7fa-1c0b-4509-b220-cf6bb2e01d47.jpg"  xlink:type="simple"/></disp-formula><p>with</p><disp-formula id="scirp.39714-formula11924"><label>(1.4)</label><graphic position="anchor" xlink:href="1-7501507\69ab3ca2-6155-4ddd-88a9-0fcad7c54fb0.jpg"  xlink:type="simple"/></disp-formula><p>When the post-selection is succeeded, the average value <img src="1-7501507\69c3e380-fbb0-43e7-9028-cf04191aefb4.jpg" /> of the pointer observable is given by</p><disp-formula id="scirp.39714-formula11925"><label>(1.5)</label><graphic position="anchor" xlink:href="1-7501507\03af34ed-cd92-4e65-b2b9-b49209f2df0c.jpg"  xlink:type="simple"/></disp-formula><p>which will yield the weak value of the observable <img src="1-7501507\4a1cb440-83c1-4683-a39d-8369a25fc6c8.jpg" /> under the influence of the environment.</p><p>In the weak measurement, the strength of the interaction between the system and the measuring device is sufficiently small and only the terms up to the first order with respect to the coupling constant <img src="1-7501507\e9bf283a-e46a-4f11-8ffd-168b290889fb.jpg" /> is taken into account. Then we obtain from Equation (1.1)</p><disp-formula id="scirp.39714-formula11926"><label>(1.6)</label><graphic position="anchor" xlink:href="1-7501507\bcd571ef-17c7-498e-9127-eb720e8fe07f.jpg"  xlink:type="simple"/></disp-formula><p>which yields the joint probability of <img src="1-7501507\21e99721-3608-4d5e-aa74-5ace86387913.jpg" /> and <img src="1-7501507\1e1b9860-cbc6-4b2a-89cd-944f1c859f1f.jpg" /> from Equation (1.3),</p><disp-formula id="scirp.39714-formula11927"><label>(1.7)</label><graphic position="anchor" xlink:href="1-7501507\151a87fe-8581-4e57-8f87-c569a710d9bd.jpg"  xlink:type="simple"/></disp-formula><p>When we assume that the probability current density of the measurement device vanishes, the equality<img src="1-7501507\37068872-b8d6-4f80-a6b9-774fe033dc98.jpg" />holds [<xref ref-type="bibr" rid="scirp.39714-ref6">6</xref>]. Then we obtain after some calculation,</p><disp-formula id="scirp.39714-formula11928"><label>(1.8)</label><graphic position="anchor" xlink:href="1-7501507\02d1546f-7afb-431d-9a8a-60720aea3945.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="1-7501507\557d4429-7acd-4e3c-9432-de9db76432b6.jpg" /> is the weak value of the observable <img src="1-7501507\3935aa02-3be3-42b9-8177-cdaf0273fa55.jpg" /> influenced by the environment,</p><disp-formula id="scirp.39714-formula11929"><label>(1.9)</label><graphic position="anchor" xlink:href="1-7501507\e8adfbac-bd8d-428a-9b1c-2cc67d57f420.jpg"  xlink:type="simple"/></disp-formula><p>The probability that the post-selection is succeeded is given by</p><disp-formula id="scirp.39714-formula11930"><label>(1.10)</label><graphic position="anchor" xlink:href="1-7501507\0ad4dead-6b1b-4243-b877-eefe3ee0e56f.jpg"  xlink:type="simple"/></disp-formula><p>This is independent of the measuring device, which is characteristic of the weak measurement. Thus we obtain the probability of the measurement outcome<img src="1-7501507\582c3bc5-cfae-4039-af69-3c9632581c08.jpg" />,</p><disp-formula id="scirp.39714-formula11931"><label>(1.11)</label><graphic position="anchor" xlink:href="1-7501507\8a3f949f-6359-4403-ba0c-ddf6c2bc65ee.jpg"  xlink:type="simple"/></disp-formula><p>which yields <img src="1-7501507\2fe30a1b-3c25-4d85-b7ee-c98029bd8f22.jpg" /> with <img src="1-7501507\26f37461-a6cb-488e-afaf-5c16bd89315a.jpg" />.</p><p>We consider the property of the weak value <img src="1-7501507\8c43e91b-f44a-41a7-a25d-b36e432069a3.jpg" /> given by Equation (1.9). Since the operator <img src="1-7501507\765cde19-d96e-4666-9f13-a72a65b999c2.jpg" /> which represents the post-selection of the system is independent of the environment, the weak value <img src="1-7501507\c665482d-e24e-48f1-921b-c79e5fceec2b.jpg" /> becomes</p><disp-formula id="scirp.39714-formula11932"><label>(1.12)</label><graphic position="anchor" xlink:href="1-7501507\5dd8fdee-2e16-4e21-bc02-e6af691eef36.jpg"  xlink:type="simple"/></disp-formula><p>It is obvious that the denominator is the average of the operator <img src="1-7501507\ac4b2b97-b381-4261-8266-efc8f5f3f06a.jpg" /> by the reduced density operator <img src="1-7501507\d663ac37-57d6-4ef3-9381-6417058c6c9d.jpg" /> of the system,</p><disp-formula id="scirp.39714-formula11933"><label>(1.13)</label><graphic position="anchor" xlink:href="1-7501507\b9998501-57fe-468c-8374-b75e3329c80f.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="1-7501507\02bae7d4-a6e0-4afe-8e8b-68c6676c063b.jpg" /> and <img src="1-7501507\b1013b1b-d0b4-4a99-94dd-3fe3f2ab6ac8.jpg" /> represents the quantum channel for the system [<xref ref-type="bibr" rid="scirp.39714-ref19">19</xref>]. The reduced density operator <img src="1-7501507\4072f688-6c2d-4555-bb67-07645d450a6c.jpg" /> can be derived by means of the quantum master equation method [17,18]. When the weak measurement is performed just after the pre-selection or just before the post-selection, the weak value is simplified as</p><disp-formula id="scirp.39714-formula11934"><label>(1.14)</label><graphic position="anchor" xlink:href="1-7501507\6b858e45-855f-4c4d-85b0-0ac725a2df88.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.39714-formula11935"><label>(1.15)</label><graphic position="anchor" xlink:href="1-7501507\7dea6b3f-f697-4708-b929-e20659af8ed4.jpg"  xlink:type="simple"/></disp-formula><p>Thus when <img src="1-7501507\6fcfe717-c1bf-4402-8907-05e5d04f9e3f.jpg" /> or<img src="1-7501507\aee53a8b-be27-42ba-9d43-a3d4064f301f.jpg" />, we can calculate the weak value by means of the quantum channel <img src="1-7501507\1203b1d7-7a54-4a00-9a6d-549eb8929076.jpg" /> and otherwise calculating the weak value becomes much more difficult.</p><p>We assume that the environment is Markovian and the influence of the system on the environment is negligible. In this case, the reduced time evolution of the system has the semi-group property [18,20] and we can approximate as [<xref ref-type="bibr" rid="scirp.39714-ref21">21</xref>]</p><disp-formula id="scirp.39714-formula11936"><label>(1.16)</label><graphic position="anchor" xlink:href="1-7501507\158a796c-4b47-483f-a15f-138045f2d02b.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="1-7501507\6c50f6ac-e560-4bf6-961a-5bd43011ac13.jpg" /> represents the equilibrium state of the environment and <img src="1-7501507\61f03d4a-bc0d-4401-a543-2afe23491f43.jpg" /> is time evolution generator of the system, which is derived by solving the quantum master equation in a Lindblad form [18,20]. Then we find the weak value from Equation (1.12),</p><disp-formula id="scirp.39714-formula11937"><label>(1.17)</label><graphic position="anchor" xlink:href="1-7501507\2fdd2e51-9a9d-4cb6-bfc5-2a54e920b294.jpg"  xlink:type="simple"/></disp-formula><p>which is equivalent to that obtained by the quantum trajectory method [<xref ref-type="bibr" rid="scirp.39714-ref5">5</xref>]. Using the conjugate of the time evolution generator <img src="1-7501507\fe86aebe-486a-4e28-911f-27db61bad1e9.jpg" /> defined by<img src="1-7501507\434781b6-d968-4e47-9d86-b1f344dd4bf7.jpg" />for any system operators <img src="1-7501507\ffaa118a-fd6e-4c89-b56d-581ea5cab18c.jpg" /> and<img src="1-7501507\31c2afac-3741-4e17-9b1e-a5369a9e84bc.jpg" />, we can express the weak value as</p><disp-formula id="scirp.39714-formula11938"><label>(1.18)</label><graphic position="anchor" xlink:href="1-7501507\5a1c7c96-821a-41ed-b3df-87f13a004ecc.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="1-7501507\d6109fe7-d153-4c4b-9ee6-3aa451f9b2e6.jpg" /> and <img src="1-7501507\64064e2d-64d0-4b4b-be1c-4a97bbafe696.jpg" /> are the predictive and retrodictive density matrices of the system [<xref ref-type="bibr" rid="scirp.39714-ref21">21</xref>],</p><disp-formula id="scirp.39714-formula11939"><label>(1.19)</label><graphic position="anchor" xlink:href="1-7501507\99407314-8380-4bfe-b219-9f7c88444702.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.39714-formula11940"><label>(1.20)</label><graphic position="anchor" xlink:href="1-7501507\bc82a7a3-5e06-4855-8beb-3f49496ea617.jpg"  xlink:type="simple"/></disp-formula><p>which are derived by solving the predictive and retrodictive quantum master equations. On the other hand, since we have</p><disp-formula id="scirp.39714-formula11941"><label>(1.21)</label><graphic position="anchor" xlink:href="1-7501507\4f7a9fab-c8ad-49fa-b90e-b8813b87d964.jpg"  xlink:type="simple"/></disp-formula><p>we obtain the weak value,</p><disp-formula id="scirp.39714-formula11942"><label>(1.22)</label><graphic position="anchor" xlink:href="1-7501507\c826d53d-7dc3-4972-9d17-a537f9e12fd9.jpg"  xlink:type="simple"/></disp-formula><p>Then if the environment is Markovian, using the quantum regression theorem [<xref ref-type="bibr" rid="scirp.39714-ref18">18</xref>], we can calculate the weak value. Hence we can investigate the weak value influenced by the Markovian environment by Equations (1.17), (1.18) and (1.22). For the non-Markovian environment, however, these results cannot be used and the calculation becomes much more difficult.</p></sec><sec id="s3"><title>3. Weak Values in Stochastic Dephasing</title><p>In this section, using an exactly solvable model, we investigate the weak value of an observable influenced by a non-Markovian environment. For this purpose, we use the Kubo-Anderson model [22,23], where the quantum system to be measured is a two-level system or a qubit and the environment causes the stochastic dephasing of the system [<xref ref-type="bibr" rid="scirp.39714-ref24">24</xref>]. The time evolution of the system is governed by a stochastic Hamiltonian,</p><disp-formula id="scirp.39714-formula11943"><label>(1.23)</label><graphic position="anchor" xlink:href="1-7501507\ee386013-82ab-4795-aec9-0880eecf7c41.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="1-7501507\53ea00b3-2ca0-4724-9011-3e260c47ed3a.jpg" /> is the z-component of a spin-1/2 and <img src="1-7501507\5da0ed44-f5a7-40b3-91fa-136130d74349.jpg" /> is a classical stochastic variable with zero mean. The unitary operator that describes the time evolution is given by</p><disp-formula id="scirp.39714-formula11944"><label>(1.24)</label><graphic position="anchor" xlink:href="1-7501507\be946afd-84fb-4c66-820b-8ad9e83a74b8.jpg"  xlink:type="simple"/></disp-formula><p>In this case, since the trace operation over the environmental Hilbert space in Equation (1.12) is replaced with the stochastic average, we obtain the weak value of a system observable<img src="1-7501507\60479d08-e241-4f76-8b93-0a925173fa95.jpg" />,</p><disp-formula id="scirp.39714-formula11945"><label>(1.25)</label><graphic position="anchor" xlink:href="1-7501507\b50f4a81-0464-421e-abbf-dedc23ddd451.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="1-7501507\7dbf4ae7-fb06-4125-b926-9c9b51584fe5.jpg" /> stands for the stochastic average and <img src="1-7501507\56c3ca1a-51d5-4e95-aeba-0fbb9eabb85b.jpg" /> is the initial state of the qubit. Here we note that the approximation given by Equation (1.16) is equivalent to</p><disp-formula id="scirp.39714-formula11946"><label>(1.26)</label><graphic position="anchor" xlink:href="1-7501507\6d3d46c8-b0f8-454f-9844-60a5f471ffec.jpg"  xlink:type="simple"/></disp-formula><p>which is valid only in the narrowing limit of the dephasing. To calculate the weak value given by Equation (1.25), we expand the initial state<img src="1-7501507\d700c3df-eab8-48d9-b547-cf98854660e2.jpg" />, the observable <img src="1-7501507\0a101418-f560-45b4-beda-1deeadbd05e5.jpg" /> and the measurement operator <img src="1-7501507\468833bb-b825-4ffa-ac1b-ecbaec1e68ee.jpg" /> as <img src="1-7501507\65936f2e-190e-4617-98ef-9b89e06ac1eb.jpg" />, <img src="1-7501507\0df05b15-9023-4cec-83dd-28c2990878ff.jpg" />and<img src="1-7501507\431bda8c-7809-4857-b9aa-45d5b8fb57db.jpg" />, where <img src="1-7501507\672213de-58e3-4f4a-b858-d6679a93d553.jpg" /> is an eigenstate of <img src="1-7501507\11b0840a-4514-423b-aa3d-57e8ff2b7bd5.jpg" /> such that <img src="1-7501507\3b5a25a6-09c4-406e-a9db-d52721712d1d.jpg" /> and<img src="1-7501507\86593b62-9dfe-4816-9141-2c9a2dec7f2c.jpg" />. Then after some calculation, we obtain from Equation (1.25),</p><disp-formula id="scirp.39714-formula11947"><label>(1.27)</label><graphic position="anchor" xlink:href="1-7501507\a637ee0c-10f3-4bd9-a7b0-67a1c95374d8.jpg"  xlink:type="simple"/></disp-formula><p>with</p><disp-formula id="scirp.39714-formula11948"><label>(1.28)</label><graphic position="anchor" xlink:href="1-7501507\3f1f6a4d-3ee4-40d0-b7ae-36e1aa023b7f.jpg"  xlink:type="simple"/></disp-formula><p>and</p><disp-formula id="scirp.39714-formula11949"><label>(1.29)</label><graphic position="anchor" xlink:href="1-7501507\9c05e1fa-e587-4b54-9d18-58a1cebbd159.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="1-7501507\176eb6db-089c-46a0-979b-e9bfc0283e2f.jpg" /> is the characteristic function of the stochastic variable<img src="1-7501507\63542779-b4f6-44b4-aee5-056e0b1e2d7a.jpg" />,</p><disp-formula id="scirp.39714-formula11950"><label>(1.30)</label><graphic position="anchor" xlink:href="1-7501507\662c9d64-cc8a-45fa-bee3-416ec12c668f.jpg"  xlink:type="simple"/></disp-formula><p>We can see that the approximation given by Equation (1.26) is valid if and only if the equality<img src="1-7501507\211f93b3-9109-4103-9897-318b92814414.jpg" /><img src="1-7501507\d2a1306b-2fe0-4ca0-a66d-258fa5a29c03.jpg" />holds or equivalently the characteristic function is given by<img src="1-7501507\76fed1b8-8716-4b03-84de-c207c8b49957.jpg" />which is derived in the narrowing limit of the dephasing [<xref ref-type="bibr" rid="scirp.39714-ref17">17</xref>]. Assuming that the stochastic dephasing is characterized by the stationary GaussMarkov process, we obtain the characteristic function [17,24],</p><disp-formula id="scirp.39714-formula11951"><label>(1.31)</label><graphic position="anchor" xlink:href="1-7501507\7ee943db-1e3a-4b66-a95c-95eb25270e81.jpg"  xlink:type="simple"/></disp-formula><p>while we obtain for the stationary two-state Markov jump process (or equivalently the random telegraph noise) [24,25],</p><disp-formula id="scirp.39714-formula11952"><label>(1.32)</label><graphic position="anchor" xlink:href="1-7501507\94b8ea11-da52-41a3-b091-247aabd5a728.jpg"  xlink:type="simple"/></disp-formula><p>with<img src="1-7501507\f52d6886-b816-44df-a84d-e96de892dc89.jpg" />. In these equation, <img src="1-7501507\13b70ec2-acc5-45f0-a53b-a9f8e7f6642c.jpg" />represents the strength of the dephasing and <img src="1-7501507\f103063f-409a-479a-b605-60f3c1a95f97.jpg" /> is an inverse of the correlation time of the stochastic variable<img src="1-7501507\109f0ae5-af8f-43b0-8e42-5ca7dc3add45.jpg" />. Note that the Markovian stochastic process does not imply that the dephasing process of the system is Markovian.</p><p>Let us now consider the case that the system observable is the <img src="1-7501507\294d3b08-6ab7-4de2-8071-fe0e5df93d38.jpg" />-component <img src="1-7501507\9ec1085b-4b42-491f-84a4-dc3e2565d912.jpg" /> of the spin. Then the weak value <img src="1-7501507\4391a76a-e8d8-45b2-9619-e9e63069faaf.jpg" /> given by Equation (1.27) becomes</p><disp-formula id="scirp.39714-formula11953"><label>(1.33)</label><graphic position="anchor" xlink:href="1-7501507\be8aada2-4a9b-41da-a59a-3ce76af3926c.jpg"  xlink:type="simple"/></disp-formula><p>In particular, when the system pre-selected in <img src="1-7501507\4b397aa9-02ba-4ede-be27-3a7be1933852.jpg" /> at the time <img src="1-7501507\446b609d-1e1d-4cfc-b797-b72735947e72.jpg" /> is post-selected in a state<img src="1-7501507\af29639d-a045-4d91-a1ff-f9aeacf463de.jpg" />, the weak value is simplified as</p><disp-formula id="scirp.39714-formula11954"><label>(1.34)</label><graphic position="anchor" xlink:href="1-7501507\59f80813-7044-4a1b-89cd-ba9f24213d0a.jpg"  xlink:type="simple"/></disp-formula><p>which is plotted as function of time in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p><p>It is found from the figure that the weak value lies in the spectral range of the spin-1/2 operator,<img src="1-7501507\24046c53-ce8f-4596-b696-713186c16ee2.jpg" />, in the narrowing limit or equivalently the Markovian limit. This means that the Markovian environment significantly suppresses the anomalous property of the weak value.</p></sec><sec id="s4"><title>4. Weak Value in Bosonic Environment</title><p>We consider the weak value influenced by a quantum mechanical environment. Here we suppose that a qubit interacts with an environment consisting of harmonic oscillators [<xref ref-type="bibr" rid="scirp.39714-ref18">18</xref>]. The Hamiltonian of the qubit and environment is given by</p><disp-formula id="scirp.39714-formula11955"><label>(1.35)</label><graphic position="anchor" xlink:href="1-7501507\de0fbb98-b589-4ea5-8a69-4c1a51278595.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="1-7501507\3b727e34-9a06-43a2-85b3-c1cb00cfcb8d.jpg" /> and <img src="1-7501507\86811752-8f34-4bcb-89bb-17ff76179369.jpg" /> are bosonic annihilation and creation operators of the kth oscillator of the environment. It is assumed that the environment is initially in the vacuum state <img src="1-7501507\8409c568-52a5-46f0-8360-5239276ac82d.jpg" /> with <img src="1-7501507\019dc630-aa17-446b-b844-63a06277e255.jpg" /> and it has the Lorentzian spectral density,</p><disp-formula id="scirp.39714-formula11956"><label>(1.36)</label><graphic position="anchor" xlink:href="1-7501507\3d81588e-3c8f-46ae-9d03-8f3fadc2fad9.jpg"  xlink:type="simple"/></disp-formula><p>If the inequality <img src="1-7501507\b0490217-eede-469a-80c0-d09abcce94dd.jpg" /> is fulfilled, the environment is non-Markovian and otherwise it is Markovian [<xref ref-type="bibr" rid="scirp.39714-ref18">18</xref>]. We can obtain an exact time evolution of the qubit and the environment. Indeed, when we set the initial state<img src="1-7501507\9bb9bf99-94c1-41c0-a93c-33144db55c1a.jpg" />with<img src="1-7501507\e4b57912-b085-464a-9056-9a4410b02136.jpg" />, we find the state <img src="1-7501507\926c1f20-13da-4728-9dc5-1f0d64208074.jpg" /> at time <img src="1-7501507\cc236b82-a1eb-455a-8a11-60a2b62ca794.jpg" /> [18,26],</p><disp-formula id="scirp.39714-formula11957"><label>(1.37)</label><graphic position="anchor" xlink:href="1-7501507\70ea2a3d-be23-4f05-9ff0-0c990cdb53e7.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="1-7501507\f989cb84-7eb1-4c17-9ca4-3f8e96ee837f.jpg" /> and the time-de-</p><p>pendent parameter <img src="1-7501507\e2a7ecc9-95ad-483b-a672-e87c02819a23.jpg" /> is given by</p><disp-formula id="scirp.39714-formula11958"><label>(1.38)</label><graphic position="anchor" xlink:href="1-7501507\673d650c-02b5-42d3-8e5d-201227dde06a.jpg"  xlink:type="simple"/></disp-formula><p>with<img src="1-7501507\73f33719-4d10-42b0-96d3-d137c4a51965.jpg" />. In Equation (1.37), we set<img src="1-7501507\0c0bf6c9-5175-47bb-beda-e905396c3c52.jpg" />, where the coefficient <img src="1-7501507\bd82610c-c1cc-48e0-b390-c26425e906cc.jpg" /> is given by</p><disp-formula id="scirp.39714-formula11959"><label>(1.39)</label><graphic position="anchor" xlink:href="1-7501507\cf321218-6b09-4211-a3a5-14bd966acf8a.jpg"  xlink:type="simple"/></disp-formula><p>Then the exact time evolution of the qubit and the environment is provided by Equations (1.37)-(1.39).</p><p>To find how the weak value is influenced by the bosonic environment, we suppose that the observable is the z-component of the spin-1/2 operator and the qubit is post-selected in the excited state <img src="1-7501507\60cae588-280b-4539-a747-e5ac0a005742.jpg" /> at time<img src="1-7501507\d8ef53a9-779a-4d72-99c2-89bfee8316de.jpg" />. Then if<img src="1-7501507\62343c1e-ce1c-4d30-8c3d-b00076acd82c.jpg" />, we can derive the weak value from Equations (1.12) and (1.37), please see Equation (1.40) below.</p><p>It is interesting to note that the weak value does not depend on <img src="1-7501507\99b2e456-ebcb-4023-98a2-8863c67877a0.jpg" /> and<img src="1-7501507\12a99b66-01ad-4c81-8683-685f197fa60a.jpg" />. In other words, the weak value is independent of the pre-selection of the system. If the bosonic environment is Markovian<img src="1-7501507\4f734d27-3581-4084-ac43-cbcb9b4963cd.jpg" />, we see that <img src="1-7501507\6a494af5-3766-445c-ba57-83d6186e0843.jpg" /> since the equality<img src="1-7501507\6ae3f47e-637f-4ae9-9d4c-89686ab214fa.jpg" />is satisfied. If the equality <img src="1-7501507\83dc9f71-4a33-4eb2-8914-27b8d597d243.jpg" /> holds, we obtain</p><disp-formula id="scirp.39714-formula11960"><label>(1.41)</label><graphic position="anchor" xlink:href="1-7501507\b08bec56-e88e-4e74-be48-215687675352.jpg"  xlink:type="simple"/></disp-formula><p>which yields the inequality<img src="1-7501507\43c016da-7fc0-44a5-b75e-d8bc60be5499.jpg" />. In this case, the weak value is always greater than the maximum eigenvalue of the spin-1/2 operator<img src="1-7501507\7598ad42-f6c9-48f2-a6fc-6e2d4da5d94f.jpg" />. Furthermore, if the inequality <img src="1-7501507\46e32516-2ead-4031-8544-89317a90482d.jpg" /> is fulfilled, the weak value <img src="1-7501507\d3fa0021-0976-47e4-9ac9-1791a23101f9.jpg" /> can take values inside and outside the spectral range of the spin-1/2 operator since <img src="1-7501507\42fd6ffd-213e-4a4d-bd35-b955882a9cfd.jpg" /> becomes an oscillatory function,</p><disp-formula id="scirp.39714-formula11961"><label>(1.42)</label><graphic position="anchor" xlink:href="1-7501507\dd391c63-a85f-4d6b-89da-26b79aea20d9.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.39714-formula11962"><label>(1.40)</label><graphic position="anchor" xlink:href="1-7501507\49f6d3a2-e106-4066-b26d-236da91fb28d.jpg"  xlink:type="simple"/></disp-formula><p>When <img src="1-7501507\8f5935d0-07a1-4075-bf94-908e1bfc7ca5.jpg" /> is sufficiently small, the weak value becomes large, though the success probability of the post selection is very small. The time dependence of the weak value is plotted in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p></sec><sec id="s5"><title>5. Summary</title><p>In this paper, we have considered the weak value of an</p><p>observable of a system interacting with an environment and we have provided the general expression of the weak value influenced by an environment. Since the post-selection of the system is performed, it is, in general, very difficult to calculate the weak value. When the environment is Markovian, we can obtain the weak value in terms of the predictive and retrodictive density matrices of the system, which are derived by solving the quantum master equations, or by means of the quantum regression theorem. On the other hand, for the non-Markovian environment, we don’t know the systematic method for calculating weak values. Hence to investigate the weak value in the case of the non-Markovian environment, we have applied the two exactly solvable models. One is the stochastic dephasing model and the other is the single excitation multi-mode Jayes-Cummings model. We have found that the Markovian environment significantly suppresses the anomalous behavior of the weak value in comparison with the non-Markovian environment. Since we have used the specific models, we have to consider more general cases. For this purpose, however, it is necessary to develop a method for calculating weak values under the influence of the environment.</p></sec><sec id="s6"><title>6. Acknowledgements</title><p>The author would greatly appreciate Prof. F. Shibata and Prof. S. Kitajima for their stimulating discussions.</p></sec><sec id="s7"><title>REFERENCES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.39714-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">J. 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