Physics – Quantum Physics
Scientific paper
2003-09-10
Phys. Rev. A 69 (2004) 052113
Physics
Quantum Physics
revtex4, no figures, much improved exposition of optimal estimates (thanks to excellent referee), to appear in PRA
Scientific paper
10.1103/PhysRevA.69.052113
The principle of complementarity is quantified in two ways: by a universal uncertainty relation valid for arbitrary joint estimates of any two observables from a given measurement setup, and by a general uncertainty relation valid for the_optimal_ estimates of the same two observables when the state of the system prior to measurement is known. A formula is given for the optimal estimate of any given observable, based on arbitrary measurement data and prior information about the state of the system, which generalises and provides a more robust interpretation of previous formulas for ``local expectations'' and ``weak values'' of quantum observables. As an example, the canonical joint measurement of position X and momentum P corresponds to measuring the commuting operators X_J=X+X', P_J=P-P', where the primed variables refer to an auxilary system in a minimum-uncertainty state. It is well known that Delta X_J Delta P_J >= hbar. Here it is shown that given the_same_ physical experimental setup, and knowledge of the system density operator prior to measurement, one can make improved joint estimates X_est and P_est of X and P. These improved estimates are not only statistically closer to X and P: they satisfy Delta X_est Delta P_est >= hbar/4, where equality can be achieved in certain cases. Thus one can do up to four times better than the standard lower bound (where the latter corresponds to the limit of_no_ prior information). Other applications include the heterodyne detection of orthogonal quadratures of a single-mode optical field, and joint measurements based on Einstein-Podolsky-Rosen correlations.
No associations
LandOfFree
Prior information: how to circumvent the standard joint-measurement uncertainty relation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Prior information: how to circumvent the standard joint-measurement uncertainty relation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Prior information: how to circumvent the standard joint-measurement uncertainty relation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-349267