viii Foreword
a much better view; and so on; that, in other words, by your meisterst¨uck
you claim full membership in the guild. In the meantime your colleagues had
of course been looking at what you were doing all along, and probably had
already made you member in pectore. I have no doubts that this applies to
the present case.
But in many, perhaps most, of the books I’ve seen I believe I detected in
an obstinate bass line, some sort of rumbling or blurbing that has no words
to it but I would be tempted to interpret like this: “Yes, this book of ours will
be good for an advanced undergraduate course in Quantum Computation,
Quantum Cryptography, or Entanglement Distillation (or any other permu-
tation of a number of similar sexy terms). But the real reason you must want
it, for yourself and for your students, is because we are nearing the moment
when a Quantium—rumored to be able to do all computations exponentially
faster—is to be commercially available as a drop-in replacement for the Pen-
tium! You need this book because you cannot afford not to be yourself one
of the very designers of the Quantium, or at least one of the first to design
it in!” I may just be hearing voices. But Quantum Information, Communica-
tion, and Computation is too rich a conceptual discipline to need debasing
with the subliminal lure of “universal exponential speedup.” For the moment
such a promise should be kept in the same class as “Energy so cheap it won’t
be worth metering;” it doesn’t even have to be false to be irresponsible. This
book steers clear of all that.
I recall the title of E.T. Jaynes’s book on information theory, Probability—
The Logic of Physics, and paraphrase it as “the logic of incomplete informa-
tion,” thus stressing that physics, even though central for motivation, is, from
a conceptual viewpoint, merely incidental to information theory. An incom-
plete description is just that, namely, one that is not sufficiently detailed to
identify a single individual: several individuals may fit it. The art of proba-
bility is nothing more than doing ordinary Aristotelian logic in parallel on all
those “several” (as often as not 10
24
) individuals, and in the end lumping the
results into “bins” according to whatever traits are relevant to our question
of the moment. Introducing (that is, making up) a probability distribution is
in essence equivalent to doing some of that binning before putting the system
through the “logic engine” rather than after. In fact, if this is done prop-
erly, the two approaches commute, and the second, of course, may save much
computational effort.
Quantum behavior has confronted physics with many novelties. What mat-
ters here is that it has introduced formerly unsuspected ways for a description
to be incomplete. Introduced where? into physics? My gut feeling is that in
this business physics per se is largely irrelevant. (Think, for example, of how
entropy, introduced for very good reasons by physicists, is in fact the funda-
mental quantitative parameter of any probability distribution—and thus, as
we’ve seen—an essential aspect of any incomplete description.) Be that as it
may, one of the duties of information theory is to acknowledge these new as-
pects of incompleteness whose prototype is found in physics and incorporate