Skip to main content

Through Two Doors at Once - Anil Ananthaswamy *****

It's sometimes hard to imagine that there's anything new to say about the basics of quantum physics, yet Anil Ananthaswamy manages this in a twofold manner (appropriately, given the title). Through Two Doors at Once does so by using the double slit experiment as a constant reference point throughout the book, and by bringing in a number of the more modern variants on the experiment which rarely feature in popular accounts of quantum theory.

Strictly, the book should probably be called 'Through Two Doors at Once and Spooky Action at a Distance plus Things That Have a Similar Effect', as it uses both the double slit experiment and the EPR entanglement thought experiment, plus modern experiments which don't, for example, involve slits but rather beam splitters that are their logical equivalent - but I have to admit, that would be a clumsy title.


Ananthaswamy gives us a good overview of the development of quantum physics - sometimes quite summary - but by making repeated use of the double slit, going all the way back to Thomas Young, but also looking at the quantum specifics, he both helps the reader get a better feel for just why quantum physics can seem strange and also what the different interpretations, from Copenhagen to Many Worlds, tell us about what we can and can't know of what's happening inside the experiment.


The part of the book covering interpretations is perhaps slightly less effective than the rest, because, in the end, unless you are an enthusiast for a particular interpretation, the diversity of ideas tends to obscure, rather than help get a better understanding. (We still have to come back to Feynman's crushing '[Y]ou think I’m going to explain it to you so you can understand it? No, you’re not going to be able to understand it... You see, my physics students don’t understand it either. This is because I don’t understand it. Nobody does.')


The best part of this section is the explanation of the Bohm/deBroglie interpretation where there is both a wave and a particle, though there is one minor problem here, as we are told that making a strong measurement in the Bohm model leaves particles where you don't expect them to be - but are not told why the strong measurement of the particle causing a scintillation on a screen does leave them where we expect them to be.


For me, the only real improvement would have been to put a bit more character into the historical context: it's rather dry and summary. So, for example, we are not told about Einstein's dismissive 'Ist mir Wurst' remark about EPR's confusing use of two measurements. Another example: John Wheeler is described as coining the term 'black hole', rather than giving us the more interesting actual story. There's enough to get the point, but it could have been made more engaging.


Overall, though, Anathanswamy cleverly comes at quantum physics from a different direction, and as a result, adds to the picture we get from most popular titles. We really get into why the double slit plus entanglement are often described as the central mysteries of quantum theory, and though they can still send the brain spinning, there's the best description of many of the more recent experiments I've seen - useful as they can seem a little pointless without this kind of in-depth picture. An excellent addition to the 'Quantum physics for the rest of us' shelf.


Hardback:  

Kindle:  
Using these links earns us commission at no cost to you

Review by Brian Clegg

Comments

Popular posts from this blog

The Genetic Book of the Dead: Richard Dawkins ****

When someone came up with the title for this book they were probably thinking deep cultural echoes - I suspect I'm not the only Robert Rankin fan in whom it raised a smile instead, thinking of The Suburban Book of the Dead . That aside, this is a glossy and engaging book showing how physical makeup (phenotype), behaviour and more tell us about the past, with the messenger being (inevitably, this being Richard Dawkins) the genes. Worthy of comment straight away are the illustrations - this is one of the best illustrated science books I've ever come across. Generally illustrations are either an afterthought, or the book is heavily illustrated and the text is really just an accompaniment to the pictures. Here the full colour images tie in directly to the text. They are not asides, but are 'read' with the text by placing them strategically so the picture is directly with the text that refers to it. Many are photographs, though some are effective paintings by Jana Lenzová. T

Everything is Predictable - Tom Chivers *****

There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on

David Spiegelhalter Five Way interview

Professor Sir David Spiegelhalter FRS OBE is Emeritus Professor of Statistics in the Centre for Mathematical Sciences at the University of Cambridge. He was previously Chair of the Winton Centre for Risk and Evidence Communication and has presented the BBC4 documentaries Tails you Win: the Science of Chance, the award-winning Climate Change by Numbers. His bestselling book, The Art of Statistics , was published in March 2019. He was knighted in 2014 for services to medical statistics, was President of the Royal Statistical Society (2017-2018), and became a Non-Executive Director of the UK Statistics Authority in 2020. His latest book is The Art of Uncertainty . Why probability? because I have been fascinated by the idea of probability, and what it might be, for over 50 years. Why is the ‘P’ word missing from the title? That's a good question.  Partly so as not to make it sound like a technical book, but also because I did not want to give the impression that it was yet another book