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Use the techniques described in this section to enter sample data into your application You can also use these techniques to view or edit existing data in the table

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(4.24)

For the Purchase Tracker sample application: Add sample data to the Product table using the technique described in this section The result for the Product table could look something like Figure 89 Repeat for the Customer table Repeat for the Purchase table Be sure that the ProductID and CustomerID columns in the Purchase table are valid IDs from the Product and Customer tables At this point, you have not yet added code to retrieve values from the tables, so you won t be able to see your sample data in your application yet

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(4.25)

With the tables created, the columns de ned, and the primary keys set, the database is ready for use By entering sample data, you can more easily test the code that accesses the database

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(4.26) Coherent states have another fascinating property: Any coherent state in an expansion of a given state can itself be expanded in terms of other coherent states and even eliminated. This is called overcompleteness. In Section 4.1.3, overcompleteness will be exploited to expand any density matrix as a sum of diagonal coherent-state projectors. But first we must be introduced to the density matrix.

There are certain circumstances when we do not know exactly the state of a quantum system, only the classical probabilities of the system being in any of a certain number of states. For example, suppose that we have a closed system but the initial preparation is not controlled well, so that although the system is in a definite state, we do not know which, we know only the classical probabilities of it being any state in a given set of states. Uncontrollable preparation was very typical in the early days of quantum mechanics. Nowadays, however, this is becoming less and less common in quantum optics. What is far more common is to have an open system. In this case also, we will generally not know the state of the system with certainty. As the case of an open system is more relevant today, we will use it as an example to introduce an idea for dealing with this classical4 uncertainty in quantum mechanics: the density matrix. First, let us see how the idea of the density matrix emerges from the basic quantum mechanics formalism. Let 1'1/1) be the state of a closed system. The measurable 'luantities that come out of the theory are the expectation values of observables. Let A be an operator corresponding to one such observable. Then, as we know from basic quantum mechanics, the expectation value of A in the state 1'1/1) is given by ('1/11..11'1/1). Now, introducing a complete basis {lei)} for our closed system, where Ei I~)(eil = i. with i being the unit operator, we can rewrite any such expectation value as

A stored procedure is a software routine that is stored in the database and run within the context of the database

(A) = l:('I/II..1lei)(eil'l/l)

L(ei 1'1/1) ('I/II..1lei)

NOTE: Stored procedures are supported by many database management products, such as SQL Server and Oracle Microsoft Access has QueryDefs, which are similar in concept to a stored procedure but with a slightly different syntax

(4.27)

4Classical because the system is actually in a definite quantum state, although we do not know which. Quantum uncertainty is of a different nature: The system does not even have the uncertain property, only acquiring the property when we measure it.

Stored procedures frequently perform CRUD (create, read, update, and delete) operations on data in the database They can also perform other, more complex data operations, such as increasing the price of every product by 10% Stored procedures can take input parameters, return tabular or scalar results, and return output parameters For example, to retrieve product data for a particular product, you can build a stored procedure that de nes the ProductID as an input parameter, retrieves all the columns in the Product table for the de ned ProductID, and returns them as a tabular result To save product data, you can build a stored procedure that takes all the product columns as input parameters and updates them in the database

public class HashTable implements Cloneable { private Entry[] buckets = ; private static class Entry { Object key; Object value; Entry next; Entry(Object key, Object value, Entry next) { thiskey = key; thisvalue = value; thisnext = next; }

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