dwave“Spooky action at a distance” is how Albert Einstein described one of the key principles of quantum mechanics: entanglement.  Entanglement occurs when two particles become related such that they can coordinate their properties instantly even across a galaxy.  Think of wormholes in space or Star Trek transporters that beam atoms to distant locations.  Quantum mechanics posits other spooky things too: particles with a mysterious property called superposition, which allows them to have a value of one and zero at the same time; and particles’ ability to tunnel through barriers as if they were walking through a wall.

All of this seems crazy, but it is how things operate at the atomic level: the laws of physics are different.  Einstein was so skeptical about quantum entanglement that he wrote a paper in 1935 titled “Can quantum-mechanical description of physical reality be considered complete?”.  He argued that it was not possible.

In this, Einstein has been proven wrong.  Researchers recently accessed entangled information over a distance of 15 miles.  They are making substantial progress in harnessing the power of quantum mechanics.

Einstein was right, though, about the spookiness of all this.

Quantum mechanics is now being used to construct a new generation of computers that can solve the most complex scientific problems—and unlock every digital vault in the world.  These will perform in seconds computations that would have taken conventional computers millions of years.  They will enable better weather forecasting, financial analysis, logistical planning, search for Earth-like planets, and drug discovery.  And they will compromise every bank record, private communication, and password on every computer in the world — because modern cryptography is based on encoding data in large combinations of numbers, and quantum computers can guess these numbers almost instantaneously.

There is a race to build quantum computers, and (as far as we know) it isn’t the NSA that is in the lead.  Competing are big tech companies such as IBM, Google, and Microsoft; startups; defense contractors; and universities.  One Canadian startup says that it has already developed a first version of a quantum computer. A physicist at Delft University of Technology in the Netherlands, Ronald Hanson, told Scientific American that he will be able to make the building blocks of a universal quantum computer in just five years, and a fully-functional demonstration machine in a little more than a decade.

These will change the balance of power in business and cyber-warfare.  They have profound national-security implications, because they are the technology equivalent of a nuclear weapon.

Let me first explain what a quantum computer is and where we are.

In a classical computer, information is represented in bits, binary digits, each of which can be a 0 or 1.  Because they only have only two values, long sequences of 0s and 1s are necessary to form a number or to do a calculation.  A quantum bit (called a qbit), however, can hold a value of 0 or 1 or both values at the same time — a superposition denoted as “0+1”.  The power of a quantum computer increases exponentially with the number of qubits.  Rather than doing computations sequentially as classical computers do, quantum computers can solve problems by laying out all of the possibilities simultaneously and measuring the results.

Imagine being able to open a combination lock by trying every possible number and sequence at the same time.  Though the analogy isn’t perfect — because of the complexities in measuring the results of a quantum calculation — it gives you an idea of what is possible.

There are many complexities in building a quantum computer: challenges in finding the best materials from which to generate entangled photon pairs; new types of logic gates and their fabrication on computer chips; creation and control of qubits; designs for storage mechanisms; and error detection.  But breakthroughs are being announced every month.  IBM, for example, has just announced that it has found a new way to detect and measure quantum errors and has designed a new qubit circuit that, in sufficient numbers, will form the large chips that quantum computers will need.

Most researchers I have spoken to say that it is a matter of when — not whether — quantum computing will be practical.  Some believe that this will be as soon as five years; others say 20 years.  IBM said in April that we’ve entered a golden era of quantum-computing research, and predicted that the company would be the first to develop a practical quantum computer.

One Canada-based startup, D-wave, says it has already has done it.  Its CEO, Vern Brownell, said to me in an email that D-Wave Systems has created the first scalable quantum computer, with proven entanglement, and is now working on producing the best results possible for increasingly complex problems.  He qualified this claim by stressing that their approach, called “adiabatic computing”, may not be able to solve every problem but has a broad variety of uses in optimizing computations; sampling; machine learning; and constraint satisfaction for commerce, national defense, and science.  He says that the D-Wave is complementary to digital computers; a special-purpose computing resource designed for certain classes of problems.

The D-Wave Two computer has 512 qubits and can, in theory, perform 2^512 operations simultaneously.  That’s more calculations than there are atoms in the universe — by many orders of magnitude.  Brownell says the company will soon be releasing a quantum processor with more than 1000 qubits.  He says that his computer won’t run Shor’s algorithm, an algorithm necessary for cryptography, but it has potential uses in image detection, logistics, protein mapping and folding, Monte Carlo simulations and financial modeling, oil exploration, and finding exoplanets.

So quantum computers are already here in a limited form, and fully functional versions are on the way.  They will be as transformative for mankind as were the mainframe computers, personal computers, and smartphones that we all use.

As do all advancing technologies, they will also create new nightmares.  The most worrisome development will be in cryptography.  Developing new standards for protecting data won’t be easy.  The RSA standards that are in common use each took five years to develop.  Ralph Merkle, a pioneer of public-key cryptography, points out that the technology of public-key systems, because it is less well-known, will take longer to update than these—optimistically, ten years.  And then there is a matter of implementation so that computer systems world wide are protected.   Without a particular sense of urgency or shortcuts, Merkle says, it could easily be 20 years before we’ve replaced all of the Internet’s present security-critical infrastructure.

It is past time we began preparing for the spooky technology future we are rapidly heading into.

Link to article on Washington Post’s website

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  • Manish Mehta

    WoW…Einstein and the spooky photon. Yes, the first phase will be purpose built systems that will complement today’s digital technology and current computing systems simply because the technology at the core is still undergoing parallel research and development, may take a few years before it is fully understood. It will be much longer before these Q-computers come into the realm of general purpose business applications and computing as we known it today.
    A big part of the challenge is that at the material level and at the particle level there is electronics/physics that we understand today and accordingly error correction principles are built into our computers (both at the hardware core and at higher level software) as we use them today. Till we truly understand the error correction issues with Q-computers, therefore for that we need to understand the spooky phenomenon first, we are sort of grappling with something that we recognize but do not yet truly understand beyond the mathematics of it. So it will evolve over time.
    I also think it is important to realize that the concepts today (logic gates with Q-bits, Q-logic CPUs etc. etc.) in a sense do mirror the design and thinking of traditional computer structures and system organization. The Q-computers that will power infinite space travel and other futuristic applications 300 years ahead, will be an order of magnitude different in their fundamentals and basic concepts.