Where Are the Borg?

(Warning: partially valid arguments ahead, but at some points reality takes a hit and runs for the hills and then returns to make some sort of point.)
What I love about the threshold theorem for computation (classical or quantum) is that it is essentially a theorem about immortality. Whah? Immortality? Indeed. (For those unfamiliar with the ideas of the threshold theorem see a quantum discussion in quant-ph/0507174 by Daniel Gottesman.)
Well first of all, let me rephrase that. The thresholds theorems of computation are about immortality. We should pluralize the “theorem” since there are many different versions of the theorem applicable under many different assumptions. We should pluralize the “threshold” since there are many different parameters which describe the different assumptions.
Now given the assumptions of the thresholds theorems, we can ask the question about whether these assumptions are satisfied in the real world. If they are, then the particular theorem you are concerned with states that it is possible to design a computer whose rate of failing can be made arbitrarily small by building bigger computers out of the faulty components (and this size overhead scales in such a way that changing the rate of failure by k orders of magnitude only incures an overhead of increasing the size by a polynomial in k.) So, in essence, the theorem states that you can make your computer effectively immortal. Say you want it to live for a billion years, then you can build such a device. Say you want it to live for trillion years, then you can build a bigger device. Etc. etc. onward to effectively immortality. (Okay, so there are those of you who might object to me calling a computer a living thing and personifying it with the atributes of life and death, but I have too little time to spend arguing against mythical beasts in the machine for which we have no evidence of and which somehow make biology an independent branch of the laws of the universe 😉 )
So given that the threshold theorems somehow “prove” that we can make immortal machines, the question is obviously whether the universe actually obeys the conditions of one of the threholds theorems. I would certainly be inclined to believe that the answer to this question is that no, there is no thresholds theorem which actually holds in our universe. The threshold is zero. Why do I say this? Well, let’s just think of the most common forms of the quantum therhold theorems. One thing that these models don’t consider is a form of error in which the entire quantum computer is blown up by, to put it in a modern context, terrorists (you see, it all makes sense, because quantum computers can be used to hack the codes that these terrorists use to plot their evil deads. To misquote a famous 19th century author: A useless consistency is the hobgoblin of a creative but bored mind.) Now this form of error can certainly happen. There is certainly a probability that it will happen (at which point we might begin to worry whether it was a Republican or Democrat who calculated this probability.) And I am equally certain that the current threshold theorems do not apply to this form of error. Thus I can at least argue that today’s theorems do not have assumptions which are satisfied in the real world.
Of course the lack of a current theorem which is not satisfied by how the real world works, does not imply that there isn’t some thresholds theorem which is satisfied in the real world. So can we put our arguments on more rigorous (snicker) grounds? Well I would maintain that the lack of the Borg is quiet evidence that there is no threshold theorem for immortality in our universe. Huh? Well suppose that we try to extend our threshold theorem for quantum computation to the type of errors I described above (so-called “t-errors.”) Certainly I can imagine a way to do this (okay maybe not so realistic!) but at the cost of designing a large computer. Indeed I suspect that there are turtles all the way up, and that if we keep pressing higher into the heirarchy of errors we wish to be robust against, we will always be making larger and large computers. And certainly even with our current constructions to truely obtain immortality, we need larger and larger machines. This argument suggests that if there is such a theorem, then to achieve immortality we must construct larger and larger computers whose size, eventually must engulf the entire universe (okay I’m way out on a limb here, but I am currently in California where this is only a little more flakey than your average citizen’s view of the world.) So, since when I look around I do not see such a construction, and I believe that (in this case alien) technology will always expand to fill the void of what is possible (over the edge 😉 ) this implies to me that there the threshold for computation in the universe is zero. Of course I have discounted the possibility that just because I do not see the construction, that the construction does not exist. Indeed we ourselves may be this construction (quoteth Philip K. Dick “the Empire never ended.”) So, no Borg, no threshold. 🙂
Now you might think that believing the thresholds for computation are zero might lead me to choose another field than quantum computation. In fact you might even go so far as to say that maybe we should trash the classical computer revolution, since certainly, there are no fault-tolerant classical computers. But of course, this, like my argument above, is absurd. The thresholds theorems are meant to only be a step in the direction of establishing the possibility of a technology whose use and capacities are not infinite, but are indeed only designed to achieve as much as is possible given the assumptions of the theorems. The thresholds theorems is never about taking the limit of the theorems, by nailing our probability of failure to zero. The thresholds theorems is always about figuring out what you can do with the resources you have. Thus we shouldn’t view the thresholds theorems as a magic potion on the path towards building a quantum computer, but instead as a way to most optimize our construction of a computer.
More importantly for the field of quantum computation, the question of relevance is whether large quantum computers can be build which outperform classical computers. But this always has the context of what classical computer we are talking about. So really the thresholds theorems for quantum computation are more about whether we will be able to build a quantum computer which outperforms a classical computer. Now because we believe that quantum computers have exponentially benefits over classical computers for some tasks, this means that for these tasks, once you get a modern technology where quantum computers outperform classical computers, for the relevant task, building better classical computers becomes an exponential waste over building a better quantum computer. For me, this is the real threshold for quantum computation: the day we cross over from classical computers to quantum computers which outperform these classical computers. The thresholds theorems are just ways of stating that we don’t see any theoretical obstacles towards such a day.

SQuInTing at Pirates

This last weekend I attended two out of three days of the SQuInT conference in Albuquerque, NM. The conference, as usual, was stellar, and was rather large this year, with nearly 150 people! The only real draw back this year was that the hotel the conference was in had variously scheduled (1) a band, and (2) a group that liked to sing and cheer in the room adjacent to where the conference talks were held. When the crowd next door broke out into a hymn I almost lost it. Almost.
Anyway there were a lot of very interesting talks at the conference (schedule can be found here.) But I must say there was also the most unusual talk I have seen in a long time. And I must say it was also one of the best talks I have seen in ages. It was given by Jonathan Walgate from the University of Calgary. Here is the title and abstract:

Quantum Buried Treasure
Jonathan Walgate (University of Calgary)
Abstract. A swashbuckling tale of greed, deception, and quantum data hiding on the high seas. When we hide or encrypt information, it’s probably because that information is valuable. I present a novel approach to quantum data hiding based on this assumption. An entangled treasure map marks the spot where a hoard of doubloons is buried, but the sailors sharing this map want all the treasure for themselves! How should they study their map using local operations and classical communication? This simple scenario yields a surprisingly rich and counterintuitive game theoretic structure. A maximally entangled map performs no better than a separable one, leaving the treasure completely exposed. But non-maximally entangled maps can hide the information almost perfectly! Quantum data hiding was developed with two motivations. It is worth investigating purely as cryptographic scheme, allowing data to be concealed from cryptanalysts sharing a perfect copy. However it also provides an operational framework for studying entanglement and nonlocality, as it hinges on the difference between local and global physical information. `Quantum buried treasure’ schemes have four key advantages. Firstly, the local perspectives of those sharing the quantum system are clearly revealed, and this allows a more detailed comparison between the local and global information. (Previous schemes have treated local observers as a single collective eavesdropper, albeit operating under local constraints.) Secondly, interesting competitive situations emerge among the local parties. These suggest a useful role for game theory in quantum mechanics that emerges naturally from its nonlocal structure, unlike artificial attempts to unify the two. Thirdly, buried treasure provides a more realistic model both of encrypted information, which tends to be actually valuable, and of the motivations of those attempting the decryption. Last but not least, Alice and Bob get to be pirates!

Argy matey. Notice especially that last point. The talk was very amusing, as you can imagine. Hopefully there will be a paper coming out soon, as the idea is fascinating and, I must say, one of the first times I’ve seen a quantum game theory paper and haven’t wanted to jump out of my seat and shout something. Well this time I only realized afterwards that I wanted to jump out of my seat, but I didn’t have a chance to ask Jonathan my question so I guess I’ll have to wait for the paper.
Another talk I found very interesting was Andrew Landahl’s work on a quantum algorithm for ordered search problems (Update: I forgot to mention this was joint work Andrew did with Andrew Childs and Pablo Parrilo.) An old result of Farhi et. al. showed that one could search an ordered list using 3 times log base 52 of the size of the database. This algorithm should, of course, be called the card players algorithm ;). If we work in base 2, this works out to an algorithm which is approximately 0.53 log base 2 of the size of the database. The best lower bound (IIRC) was 0.22 log base 2 of the size of the database. Of course, quantum computer people like square root speedups, so a natural guess is that the real answer is log base 2 of the square root of the size of the database. But Andrew was able to show, by solving some neat little semidefinite programming problems, that 4 times log base 605 the size of the database queries suffice. This is about 0.43 times the log base 2 of the size of the database, hence destroying the naive quantum computing Grover guess! Well how excited should we be about these “constant” speedups? I’m not sure. On the one hand they are not as sexy as Shor’s algorithm (what is!) but on the other hand, they are kind of cute demonstrations that if you build a quantum computer comparable to a classical computer you should pay at least a constant amount more to use the quantum computer 😉
Another talk which I need to think more about was given by Masoud Mohensi (USC/University of Toronto). Masoud talked about work he did with Daniel Lidar on what they call “Direct Characterization” of open systems quantum dynamics. The idea here is to perform process tomography without having to actually perform quantum state tomography, and in the process obtain less use of resources. In particular Masoud showed how to use entangled states as inputs into a quantum superoperator and then characterize this superoperator using 4^n Bell measurements where n is the number of qubits. Papers on this subject can be found as quant-ph/0601033 and quant-ph/0601034.
Finally, of great interest to everyone, I’m sure, I learned that the state of New Mexico is building a spaceport. That’s right, the economically depressed state of New Mexico is going to make their stamp on the world by building a spaceport! I also heard a theory about this from one of the participants at the conference. This person suggested that he now understood the UFO landing at Rosewell. Apparently the aliens simply set their time machine incorrectly and ended up a few years early! (Their maps for the spaceport were correct, but they misdialed the “YEAR” dial, most certainly due to a translation problem caused by the Babelfish.)

Arxiv Links to Pontiff, Science at an End?

Alicki, Lidar, and Zanardi have put out version two of their paper critiqueing the assumptions of the threshold theorem for fault tolerant quantum computation. The new title of their paper is “Internal Consistency of Fault-Tolerant Quantum Error Correction in Light of Rigorous Derivations of the Quantum Markovian Limit” and is found at quant-ph/0506201. Discussions about the paper, can be found at the previous posts here and here. I’m a little streched write now to give it a good reading, but I do hope to do so in the next few days (after I finish the four talks I need to write, grade homeworks, and write the homework solution set.)
But I do think it is awesome that in the comment section on the abstract on arxiv.org, the following comment appears:

Comments: 19 pages. v2: Significantly expanded version. New title. Includes a debate section in response to comments on the previous version, many of which appeared here this http URL and here this http URL Contains a new derivation of the Markovian master equation with periodic driving

Which is now my favorite comment on an arxiv paper 🙂
Of course, it just isn’t fair competition for the greatest comment ever when you are battling up against the comment producing machines known as Chris Fuchs and Steven van Enk:

quant-ph/0205039 [abs, ps, pdf, other] :
Title: Quantum Mechanics as Quantum Information (and only a little more)
Authors: Christopher A. Fuchs (Bell Labs)
Comments: 59 pages, 5 figures, 140 equations, one simple idea

and

quant-ph/0204146 [abs, ps, pdf, other] :
Title: The Anti-Vaxjo Interpretation of Quantum Mechanics
Authors: Christopher A. Fuchs
Comments: 18 pages, not one equation. Requires sprocl.sty

and

quant-ph/0507189 [abs, ps, pdf, other] :
Title: |0>|1>+|1>|0>
Authors: S.J. van Enk
Comments: A more serious version, almost 2.36 pages, but still an unnormalized title
Journal-ref: Phys. Rev. A 72, 064306 (2005)

and

quant-ph/0410083 [abs, ps, pdf, other] :
Title: Quantifying the resource of sharing a reference frame
Authors: S.J. van Enk
Comments: Updated title as PRA did not accept the word “refbit” in the title: PRA accepts neither neologisms (=”a meaningless word coined by a psychotic”, according to Webster), nor novophasms
Journal-ref: Phys. Rev. A 71, 032339 (2005)

and

quant-ph/0207142 [abs, ps, pdf, other] :
Title: Phase measurements with weak reference pulses
Authors: S.J. van Enk
Comments: 5 pages, 5 figures. I apologize for this boring paper
Journal-ref: Phys. Rev. A 66, 042308 (2002)

CSE 599d Lecture Notes 16,17,18, and 19

The latest additions will probably have lots of errors (well even more than my normal notes!) as I haven’t taught from these notes yet and I always find errors when I teach. (Plus they are on error correction!) But this completes this set of notes for this quarter. I’ll probably give these notes a good reading over sometime in the next month to correct all of the silly (and substantial) errors in the notes. I think I covered just about what I thought I would cover. We won’t get to quantum cryptography, but really to do this I’d need to spend some lectures on purification protocols and discuss some basic information theory to get at the Preskill-Shor proof of security. Unfortunately if I’m going to do this I probably would have to do it over a two quarter quantum computing course (for such a course I would add results on quantum communication complexity, and a lot of the basics of quantum information theory…certainly there is not a lack of subject to spend two quarters on!)
Actually the next class I really want to teach is a class on the representation theory of finite and Lie groups and quantum information science. Maybe next year (next quarter I teach “Introduction to Digital Design” No, not quantum digital design ;))
Lecture Notes
Lecture Notes 1: Introduction and Basics of Quantum Theory
Lecture Notes 2: Dirac Notation and Basic Linear Algebra for Quantum Computing
Lecture Notes 3: One Qubit, Two Qubit
Lecture Notes 4: The No-Cloning Theorem, Classical Teleportation and Quantum Teleportation, Superdense Coding
Lecture Notes 5: The Quantum Circuit Model and Universal Quantum Computation
Lecture Notes 6: Reversible Classical Circuits and the Deutsch-Jozsa Algorithm
Lecture Notes 7: The Recursive and Nonrecursive Bernstein-Vazirani Algorithm
Lecture Notes 8: Simon’s Algorithm
Lecture Notes 9: The Quantum Fourier Transform and Jordan’s Algorithm
Lecture Notes 10: Quantum Phase Estimation and Arbitrary Size Quantum Fourier Transforms
Lecture Notes 11: Shor’s Algorithm
Lecture Notes 12: Grover’s Algorithm
Lecture Notes 13: Mixed States and Open Quantum Systems
Lecture Notes 14: Quantum Entanglement and Bell’s Theorem
Lecture Notes 15: When Quantum Computers Fall Apart
Lecture Notes 16: Introduction to Quantum Error Correction
Lecture Notes 17: The Quantum Error Correcting Criteria
Lecture Notes 18: Stabilizer Quantum Error Correcting Codes
Lecture Notes 19: Fault-Tolerant Quantum Computation and the Threshold Theorem
Homework
Homework 1
Homework 2
Homework 3
Handouts
Syllabus

2106…

Most people in quantum information science try to be sensitive to not overhyping the field. (Okay, so I get a little breathless sometimes!) This, however, is pretty amusing. I especially like

But could you imagine not using a Quantum Computer to come up with the most efficient sequence of nanobots to administer the cure to cancer.

Quantum-nano-bio!
Update: Jon brings up in the comments the word “quantum leap.” I have always found it amusing that in the Oxford English dictionary uses this example from 1977, as one of the early uses:

New Yorker 13 June 108/2 The imperial Presidency did not begin with Richard Nixon although under him abuses of the office took a quantum leap.

Of course once you find this out, you are at the OED website and you can’t help finding words like “quaquadrate” which means a sixteenth power.

CSE 599d Lecture Notes 13,14 and 15

Hindsight I taught things a bit out of order. What I should have done was do entanglement after Grover’s algorithm. Then it would have been nice to have a lecture on quantum communication complexity, but seeing as how things are rapidly heading towards the end (four more lectures to go) and I want to get to the threshold for fault-tolerant quantum computing I decided not to keep this. So the next lectures will introduce quantum error correction, deduce the quantum error correcting criteria, discuss classical linear and then CSS codes, discuss stabilizer codes, and then more on to fault-tolerant constructions. We might just make it.
Lecture Notes
Lecture Notes 1: Introduction and Basics of Quantum Theory
Lecture Notes 2: Dirac Notation and Basic Linear Algebra for Quantum Computing
Lecture Notes 3: One Qubit, Two Qubit
Lecture Notes 4: The No-Cloning Theorem, Classical Teleportation and Quantum Teleportation, Superdense Coding
Lecture Notes 5: The Quantum Circuit Model and Universal Quantum Computation
Lecture Notes 6: Reversible Classical Circuits and the Deutsch-Jozsa Algorithm
Lecture Notes 7: The Recursive and Nonrecursive Bernstein-Vazirani Algorithm
Lecture Notes 8: Simon’s Algorithm
Lecture Notes 9: The Quantum Fourier Transform and Jordan’s Algorithm
Lecture Notes 10: Quantum Phase Estimation and Arbitrary Size Quantum Fourier Transforms
Lecture Notes 11: Shor’s Algorithm
Lecture Notes 12: Grover’s Algorithm
Lecture Notes 13: Mixed States and Open Quantum Systems
Lecture Notes 14: Quantum Entanglement and Bell’s Theorem
Lecture Notes 15: When Quantum Computers Fall Apart
Homework
Homework 1
Homework 2
Handouts
Syllabus

CSE 599d Lecture Notes 11 and 12

We’ve reached the Shor and then searched for a needle in a quantum haystack.
Lecture Notes
Lecture Notes 1: Introduction and Basics of Quantum Theory
Lecture Notes 2: Dirac Notation and Basic Linear Algebra for Quantum Computing
Lecture Notes 3: One Qubit, Two Qubit
Lecture Notes 4: The No-Cloning Theorem, Classical Teleportation and Quantum Teleportation, Superdense Coding
Lecture Notes 5: The Quantum Circuit Model and Universal Quantum Computation
Lecture Notes 6: Reversible Classical Circuits and the Deutsch-Jozsa Algorithm
Lecture Notes 7: The Recursive and Nonrecursive Bernstein-Vazirani Algorithm
Lecture Notes 8: Simon’s Algorithm
Lecture Notes 9: The Quantum Fourier Transform and Jordan’s Algorithm
Lecture Notes 10: Quantum Phase Estimation and Arbitrary Size Quantum Fourier Transforms
Lecture Notes 11: Shor’s Algorithm
Lecture Notes 12: Grover’s Algorithm
Homework
Homework 1
Homework 2
Handouts
Syllabus

Did He Just Say "Quantum Coherence"?

As noted by JoAnne at Cosmic Varience, the Director of the Office of Science and Technology Policy took emailed questions about last night’s comments concerning science funding made by U.S. President George Bush in his state of the union speech. Not since Al Gore explicitly mentioned quantum computers have quantum computers made it so close to the spotlight! In particular we read:

Collin, from Chicago writes:
What is the White House definition of ‘Basic Science’ the funding of which the president proposed to double in 10 years? For example, does the definition (and proposed doubling) include particle physics? What about nano technology? And a mission to Mars? Thanks.
John Marburger
The American Competitiveness Initiative identifies three priority agencies that are critical to basic research in the physical sciences that provides the foundation for future economic competitiveness. Areas like nanotechnology, information technology, materials science, and quantum coherence will be an important part of the initiative. Particle physics and space exploration are important, but not necessarily a focus of the Initiative.

Quantum coherence. That’s like almost quantum computing, right? (My favorite description along those lines are the words “quantum manipulation”…reminds me of someone trying to manipulate someone else’s wave function.)
On the same topic, you can find, here a press conference with a few more details. My favorite part of that press conference is

Q Is our Secretary of Education ill-equipped to help her own daughter with algebra? (Laughter.)
SECRETARY SPELLINGS: There’s the point, Ken. We need a math initiative for grown-ups like me. I’m going to see you like that, Elaine. (Laughter.)

CSE 599d Lecture Notes 9 and 10

New notes on Fourier transforms. Also note that the old notes have some typos fixed. Almost to factoring!
Lecture Notes
Lecture Notes 1: Introduction and Basics of Quantum Theory
Lecture Notes 2: Dirac Notation and Basic Linear Algebra for Quantum Computing
Lecture Notes 3: One Qubit, Two Qubit
Lecture Notes 4: The No-Cloning Theorem, Classical Teleportation and Quantum Teleportation, Superdense Coding
Lecture Notes 5: The Quantum Circuit Model and Universal Quantum Computation
Lecture Notes 6: Reversible Classical Circuits and the Deutsch-Jozsa Algorithm
Lecture Notes 7: The Recursive and Nonrecursive Bernstein-Vazirani Algorithm
Lecture Notes 8: Simon’s Algorithm
Lecture Notes 9: The Quantum Fourier Transform and Jordan’s Algorithm
Lecture Notes 10: Quantum Phase Estimation and Arbitrary Size Quantum Fourier Transforms
Homework
Homework 1
Homework 2
Handouts
Syllabus