Skip to main content

Quantum Supremacy - Michio Kaku ***

Douglas Adams in The Hitch-Hiker's Guide to the Galaxy points out that the guide starts off frenetically, commenting on how mind-bogglingly big space is, but 'after a while it settles down a bit and it starts telling you things you actually want to know…' Quantum Supremacy is written in this style. To begin with, the reader is battered with all the amazing things quantum computers will (or at least might be able to) do, but eventually things calm down and we get onto some useful content.

What you won't find here is any detail on the nature of quantum computers, how they work or on the very significant challenges faced in achieving anything that is to become mainstream. This is all treated at even higher level than a serious newspaper article would. What Michio Kaku is interested in is the potential applications, and the book takes us through a significant number of these.

You will read how quantum computers have the potential to transform our understanding of biology (physicists love telling biologists how they can do the job better), deal with green energy, transform medical cures, enhance AI, take a step towards immortality, predict and deal with with climate change and enable us to make far better cosmological models. It's heady stuff, and as always Kaku's viewpoint is both very positive and bolstered by an enthusiasm for science fiction (we even get a little SF story in 'a day in the Year 2050').

Of all those topics, for me by far the most interesting was the relatively short section on AI and quantum computing. AI is currently taking one of its occasional leaps forward with the likes of Chat-GPT, and Kaku looks at the ways in which AI and quantum computers could assist in dealing with each others weaknesses, enabling a transformational ability to make effective use of the vast amount of information now available to us online. Arguably, the book is worth reading for this alone.

However, there are some downsides to the approach taken. Kaku repeatedly overemphasises current capabilities. As the title suggests, we are told we have reached quantum supremacy, when quantum computers can far exceed the abilities of conventional computers. What is not made so clear is that this supremacy has only occurred with devices that are each focused on dealing with a very particular challenge, and that can't be applied to the real world in any way. This isn't just a failing of Kaku's, but the industry terminology. As he points out, in 2023 a senior figure at IBM said that within the next couple of years we will be able to 'reach a demonstration of quantum advantage - something that can have practical value.' Quantum advantage, which sounds trivial when compared with quantum supremacy, is actually far harder (and more important) to obtain - and even this statement isn't about general purpose quantum advantage. Kaku does not make clear at all how very specific quantum computing algorithms tend to be - these devices will never provide general purpose advantage.

The big problem here, and it's partly because we are given so little on how the computers work - and don't work - is the way that practically every application Kaku lists is 'may be' or 'might be able to'. We're a long way from knowing for sure how quantum computing can address more than a handful of requirements, such as calculating prime factors or speeding up search (the latter, of course, is a big prize for search engine companies). Even if quantum computers could address some of the issues Kaku lists - and we're never told how they would go about addressing them - it's not even always clear how the data could be collected to make their efforts usable.

Quantum computing is important. As Kaku points out, a huge amount of money has been invested in it, and it will become more practical for very specific applications, even if it's never commercially feasible outside of big data centres, so for most will be a cloud facility if used at all. And parts of some of Kaku's suggested applications will probably become reality. But the scattergun approach of describing possible applications without the practicalities doesn't really do justice to the issue.

Hardback:   
Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg - See all Brian's online articles or subscribe t    o a weekly email free here

Comments

Popular posts from this blog

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

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