Computers are about to get weird.
After decades as theory, the first quantum computers now sit in a select few labs across the globe. They’re rudimentary, and arguably less practical than early electronic computers like the 50-ton ENIAC. Yet researchers are making headway. IBM, Google, and Intel are making progress on quantum hardware, and a practical quantum computer finally feels like a near-future reality instead of a subject for science fiction.
That’s an opportunity. It’s also a problem. Quantum physics is a weird realm of teleportation and probability that doesn’t follow the rules we’re familiar with. Most people don’t understand quantum mechanics, and that includes programmers, the people who will need to put quantum computers to practical use.
Microsoft has a plan to educate them.
That includes the reason why quantum computers work. “What we have in quantum computing is proof points that quantum computers can outperform classical computers,” said Krysta Svore, Principle Research Manager at Microsoft’s Quantum Architectures and Computation group. “The Holy Grail in our field would be an actual mathematical proof of that.”
Quantum computing is so new, and so unlike anything before it, that even top researchers remain in the dark about important and fundamental elements.
Teaching programmers to code for quantum on real hardware is out of the question for now. Microsoft’s quantum programming language, Q#, side-steps that problem by offering simple access to the tools needed to begin programming. That means making Q# as familiar and approachable as possible, even while scientists continue to make breakthroughs in the fundamentals of how quantum computers work.
Q# isn’t tucked away behind a wall of terrible documentation and poorly explained installers. Programmers can access it through Visual Studio, the world’s most popular development environment. And programmers don’t need access to a quantum computer to use it.
Instead, they can program as if their code would run on an actual quantum device but then run it on a virtual simulation. That’s possible because the quantum computer isn’t treated as its own complete, independent system, but instead as an accelerator that’s called on by a classical computer running classical computer code.
“We envision the quantum computer being another resource in Azure, next to say the GPU, the FPGA, the ASIC, to use. Azure becomes this whole fabric that includes in its compute, a quantum computer,” Svore told Digital Trends.
Most programmers are familiar using purpose-built hardware for specific tasks, and most are familiar calling on resources in the cloud. Firing up Q# isn’t different from those well-known tasks. Quantum hardware might be exotic and rare, but the programming environment Microsoft offers for Q# is exactly what you’d see today if you looked over the shoulder of a programmer at most Fortune 500 companies. That makes it far less intimidating.
“The ultimate vision is that the user isn’t saying ‘Ok, now I need to take this app and run it on this part on the CPU, this part here, this part there,’” said Svore. “It’s the same with quantum computing. We want the accelerator to be seamless.”
Programmers can introduce themselves to Q# through a set of free tutorials that Microsoft calls Quantum Katas. Each lesson involves “a sequence of tasks on a certain quantum computing topic” that programmers are challenged to solve. Finding the correct solution is the goal, but the journey is just as important. The katas aren’t meant to be solved in a single pass. They teach through trial-and-error, introducing programmers to the basics of quantum programming along the way.
Q# and the Quantum Katas bring a transformative level of feedback to quantum programming
Chris Granade, a Research Software Development Engineer at Microsoft, saw them for himself while attending a tutorial session hosted by the University of Technology Sydney. “It was really amazing to watch that people could go from zero knowledge in quantum, to writing it,” he told Digital Trends. “What was transformative, was that when people had a misunderstanding, they didn’t suffer with it. They could run the katas, they could see the got the wrong answer, and that feedback really got people to understand in a hands-on way.”
That hands-on experience immediately transforms quantum computing from a theoretical concept to a practical reality, which makes all the difference in how people approach it. Programmers may not make physical objects, but they’re used to seeing feedback just like any other craftsperson. They create a thing and it works – or it doesn’t. Q# and the Quantum Katas bring that level of feedback to quantum programming, giving anyone interested a chance to dig in and understand what quantum computing makes possible.
The change Granade saw in person isn’t just happening in classrooms. The Quantum Development Kit, of which Q# is a part, can be downloaded by anyone under an open-source license. Interested developers can not only begin to use it, but actively contribute to the community. Svore told Digital Trends that QDK downloads number in “the upper tens of thousands,” and participants have already added “a handful of substantial contributions,” including new algorithms and documentation.
While still a niche, this Quantum Development Kit places the bar of entry low enough that even a novice programmer can begin to experiment with Q# and, in doing so, begin to understand what makes quantum computing tick. That’s helpful not just for programmers, but for the entire field of quantum physics. Explaining quantum theories is a major headache not only because the quantum world is strange compared to the “classical” physics most programmers know, but also because the practical implications of quantum physics can be difficult to demonstrate.
“You don’t need to know the physics. You don’t need to know the quantum mechanics.”
Classical computers deal with binary absolutes. 1s and 0s. Off or on. Quantum deals with probabilities, and programming for quantum means creating algorithms that manipulate probabilities to produce the correct solution. “You know this wave includes my solution. These other waves include not a solution. So, I want those waves, when they interfere, to go away,” Svore explained. “And I want the wave that includes my solution to get really big. At the end, we measure the quantum states. The probability of getting the high wave out is more likely the higher that wave is. That’s how we design quantum algorithms.”
Do you understand what Svore means?
If not, don’t feel bad. It’s not easy to grasp, and it’s not easy to demonstrate. Even thought experiments meant to simplify quantum mechanics, like Schrodinger’s famous cat, can leave you scratching your head.
Microsoft hopes that Q#, and the Quantum Katas, will offer a hands-on alternative for approaching the subject. “You don’t need to know the physics. You don’t need to know the quantum mechanics. In fact, I’ll admit I didn’t take quantum mechanics until graduate school,” said Svore. “I entered quantum computing without ever taking physics in college. I’m a computer scientist by training.”
Quantum programming could become a window of insight by giving programmers a chance to make practical use of quantum theories without ditching the tools they’ve come to rely on. There’s no need to spend years learning physics. Just jump in, make an application that uses Q#, and see what happens.
Today’s practical use of Q# is limited because there’s no hardware to call on. Microsoft hasn’t built a quantum computer yet, and even if it had, it would be too primitive to perform useful calculations. But a programmer can check their work by running Q# on a simulated quantum computer. That makes it possible to code a program for quantum with a reasonable expectation that, once the hardware is available, it will work.
That’s crucial. Quantum computers are not merely a better modern-day PC. They’re fundamentally different. They require different hardware, different algorithms, and a different approach to solving complex problems. Even if a time traveler appeared with a functional, stable, million-qubit quantum computer, we’d have trouble putting it to use, just as Roman scholars would be perplexed if handed a laptop. 99.9 percent of modern developers, programmers, and computer scientists have zero experience coding for quantum, and no clue how quantum physics work. The basics must be introduced before more impressive discoveries can be made.
Teaching that will take time – but Microsoft’s Q# is an important step forward.
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