The most commonly used models for categorical repeated measurement data are log-linear models. Not only are they easy to "t with standard software but they include such useful models as Markov chains and graphical models. However, these are conditional models and one often also requires the marginal
Single qubit estimation from repeated unsharp measurements
✍ Scribed by L. Diósi
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 89 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0015-8208
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
When estimating an unknown single pure qubit state, the optimum fidelity is 2/3. As it is well known, the value 2/3 can be achieved in one step, by a single ideal measurement of the polarization along a random direction. I analyze the opposite strategy which is the long sequence of unsharp polarization measurements. The evolution of the qubit under the influence of repeated measurements is quite complicated in the general case. Fortunately, in a certain limit of very unsharp measurements the qubit will obey simple stochastic evolution equations known for long under the name of time‐continuous measurement theory. I discuss how the outcomes of the very unsharp measurements will asymptotically contribute to our knowledge of the original qubit. It is reassuring that the fidelity will achieve the optimum 2/3 for long enough sequences of the unsharp measurements.
📜 SIMILAR VOLUMES
The use of a linear two-parameter approximation for determining limiting viscosity number, [ q ] , of a polymer in the state of infinite dilution requires considerable amount of time, effort, and materials. Several workers who attempted to estimate [ q ] directly from singleviscosity measurement als
In biological monitoring of styrene, the exposure is usually related to the urinary concentration of mandelic (MA) and/or phenylglyoxylic (PGA) acids in a urine sample taken after the workshift or on following morning. To study this relationship further, a single-compartment mathematical model was d