Quantum computing is still the province of specialized programmers—but that is likely to change very quickly
Currently, quantum computing researchers and enthusiasts need to know quantum programming; it’s simply a must. Soon, though, all they will need is a quantum app store and a line of code. Not an app store like in your smartphone, but similar to a code repository of today, such as GitHub—a type of digital library where software developers make the code they have written available to anyone. And in the near future, developers will be able to put in their lines of code that will call on quantum computers to deal with specific tasks a regular computer can’t.
I predict that quantum computers will undergo the same stages of development as classical computers have over multiple decades—but much faster, within just this decade.
A decade ago, there were just a few dozen research groups who could code in quantum. When IBM launched its online platform Quantum Experience in 2016, giving everyone free access to quantum processors through the cloud, that number grew to a few thousand within just a week. Four years later, the number of programmers experimenting with quantum algorithms—what the community calls quantum circuits, the sequences of instructions that define commands for manipulating data and making a quantum computer work—is in the hundreds of thousands. And soon, millions of software developers in the IT mainstream will start building on that effort and designing a myriad of quantum circuits for everyone to use.
This evolution will parallel the same stages of development as classical computers have over multiple decades—but much faster, within just this decade. Remember Alan Turing? He developed his theory of software in 1936, jump-starting computer science and software engineering. Four decades later, it was still the case that only those who knew how to write software were able to use mainframe computers. And in the 1970s, when companies like IBM and Apple began building and selling the first personal computers it was often left to software enthusiasts to write applications that would run on them.
But rapidly, software businesses took the lead, and as personal computers became more mainstream, users could assemble their own software stack without having deep computer knowledge. We saw a repeat of this with mobile devices in the 2000s—very quickly, people with no programming experience began creating apps and designing Web sites. Today, all they have to do is input a simple line of code into a templated program and, in the background, the wheels are turning automatically.
Quantum computers hold the same promise. First, enthusiast-programmers; then, developers; and eventually, quantum circuit repositories—or perhaps libraries—with both open-source and copyright-protected circuits, a natural extension of the software ecosystem of today.
This is the inevitable next step from what companies and university labs have been focused on over the past few years: building qubits. These basic units of quantum information are analogous to the much more familiar bits used by classical computers, simple binary digits that can have a value of either 1 or 0, true or false. Qubits, on the other hand, can be in a superposition of 0 and 1 states. In our daily life, we don’t see superposition when it comes to objects—only with waves. But in the realm of the very small, particles can be in multiple states at once. Atomic nuclei with two spin orientations can do it, photons with two directions of polarization—and, in the case of IBM quantum computers, qubits made from superconducting electric currents.
Today, qubits are not high-performing enough for a quantum computer to outmatch a classical machine in a useful task. But quantum computers are rapidly getting better; we are getting pretty good at making qubits, and the theory behind the next steps is solid. We are executing a road map to make qubits with very low noise, meaning as free from the influence of external disturbances as possible. Any noise disrupts the quantum realm, making the fragile superposition collapse into the qubit’s final state, which is always 0 or 1. Once we have enough of such low-noise qubits—a few hundred—we will apply special error-correcting codes to fix or mitigate remaining problems and to be able to run more complex quantum circuits.
Already, when just a few dozens of qubits limit us to moderate-size circuits, quantum aficionados all over the world are busy creating code to run on our quantum computers, using the IBM Quantum Experience. To create their circuits, they code using Qiskit, an open source software development kit we introduced in 2017. Qiskitters have already designed billions and billions of quantum circuits. In early May, during IBM’s Digital Think conference, nearly 2,000 people from 45 countries took part in our Quantum Challenge—and using 18 IBM Quantum systems through the IBM Cloud, ran more than a billion circuits a day on real quantum hardware.
Today, these quantum enthusiasts have to know quantum programming, gates and circuits. If they don’t, they can’t write code for a quantum computer, and can’t create or use a quantum circuit. But that’s only temporary, as we are still at the dawn of the age of quantum computers. It’s just a matter of time before developers start designing more and more circuits for their specific purposes, from machine learning, to optimization, to scientific calculations. That will lead to quantum circuit libraries for everyone to benefit from. You’ll simply have to write a line of code in any programming language you work with, and the system will match it with the circuit in the library and the right quantum computer—the one with the most appropriate configuration of the chip, the way the superconducting wires are put together to join the qubits.
Frictionless quantum computing. Just a line of code, that’s all it’ll take to get a result on your classical machine through the cloud—while behind the scenes, invisible to the user, the quantum mystery will unfold, with superposition, entanglement and interference.
Founded in March 2020 just as the pandemic’s wave was starting to wash over the world, the Consortium has brought together 43 members with supercomputing resources. Private and public enterprises, academia, government and technology companies, many of whom are typically rivals. “It is simply unprecedented,” said Dario Gil, Senior Vice President and Director of IBM Research, one of the founding organizations. “The outcomes we’ve achieved, the lessons we’ve learned, and the next steps we have to pursue are all the result of the collective efforts of these Consortium’s community.”
The next step? Creating the National Strategic Computing Reserve to help the world be better prepared for future global emergencies.