The Government's sugar tax on soft drinks has brought in half as much money as Ministers first predicted it would generate, the first official data on the policy has shown.

First announced in April, 2016, the tax which applies to soft drinks containing more than 5g of sugar per 100ml, was introduced to help reduce childhood obesity（肥胖）. It is believed that today's children and teenagers are consuming three times the recommended level of sugar, putting them at a higher risk of the disease.

Initially the sugar tax was expected to make £520m a year for the Treasury. However, data of the first six months showed it would make less than half this amount. At present it is expected to generate £240m for the year ending in April 2019, which will go to school sports.

It comes after more than half of soft drinks sold in shops have had their sugar levels cut by manufacturers（制造商）so they can avoid paying the tax. Drinks now contain 45 million fewer kilos of sugar as a result of manufacturers' efforts to avoid the charge, according to Treasury figures. Since April drinks companies have been forced to pay between 18p and 24p for every litre of sugary drink they produce or import, depending on the sugar content.

However, some high sugar brands, like Classic Coca Cola, have accepted the sugar tax and are refusing to change for fear of upsetting consumers. Fruit juices, milk-based drinks and most alcoholic drinks are free of the tax, as are small companies manufacturing fewer than 1m litres per year.

Today's figures, according to one government official, show the positive influence the sugar tax is having by raising millions of pounds for sports facilities（设施）and healthier eating in schools. Helping the next generation to have a healthy and active childhood is of great importance, and the industry is playing its part.

Grading Policies for Introduction to Literature

Grading Scale

90-100, A; 80-89, B; 70-79, C; 60-69, D; Below 60, E.

Essays (60%)

Your four major essays will combine to form the main part of the grade for this course: Essay 1=10%; Essay 2-15%; Essay 3=15%; Essay 4 =20%.

Group Assignments (30%)

Students will work in groups to complete four assignments(作业) during the course. All the assignments will be submitted by the assigned date through Blackboard, our online learning and course management system.

Daily Work/ln-Class Writings and Test/Group Work/Homework (10%)

 Class activities will vary from day to day, but students must be ready to complete short in-class writings or tests drawn directly from assigned readings or notes from the previous class' lecture/discussion, so it is important to take careful notes during class. Additionally, from time to time. I will assign group work to be completed in class or short assignments to be completed at home, both of which will be graded.

Late Work

An essay not submitted in class on the due date will lose a letter grade for each class period it is late. If it is not turned in by the 4th day after the due date, it will exam a zero. Daily assignments not completed during class will get a zero. Short writings missed as a result of an excused absence will be accepted.

Quantum (量子) computers have been on my mind a lot lately. A friend has been sending me articles on how quantum computers might help solve some of the biggest challenges we face as humans. I've also had exchanges with two quantum-computing experts. One is computer scientist Chris Johnson who I see as someone who helps keep the field honest. The other is physicist Philip Taylor.

For decades, quantum computing has been little more than a laboratory curiosity. Now, big tech companies have invested in quantum computing, as have many smaller ones. According to Business Weekly, quantum machines could help us "cure cancer, and even take steps to turn climate change in the opposite direction." This is the sort of hype (炒作) that annoys Johnson. He worries that researchers are making promises they can't keep. "What's new," Johnson wrote, "is that millions of dollars are now potentially available to quantum computing researchers.

As quantum computing attracts more attention and funding, researchers may mislead investors, journalists, the public and, worst of all, themselves about their work's potential. If researchers can't keep their promises, excitement might give way to doubt, disappointment and anger, Johnson warns. Lots of other technologies have gone through stages of excitement. But something about quantum computing makes it especially prone to hype, Johnson suggests, perhaps because ""quantum' stands for something cool you shouldn't be able to understand." And that brings me back to Taylor, who suggested that I read his book Q for Quantum.

After I read the book, Taylor patiently answered my questions about it. He also answered my questions about PyQuantum, the firm he co-founded in 2016. Taylor shares Johnson's concerns about hype, but he says those concerns do not apply to PyQuantum.

The company, he says, is closer than any other firm "by a very large margin (幅度)" to building a "useful quantum computer, one that "solves an impactful problem that we would not have been able to solve otherwise." He adds, "People will naturally discount my opinions, but I have spent a lot of time quantitatively comparing what we are doing with others"

Could PyQuantum really be leading all the competition "by a wide margin", as Taylor claims? I don't know. I'm certainly not going to advise my friend or anyone else to invest in quantum computers. But I trust Taylor, just as I trust Johnson.