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University of Copenhagen mathematicians have developed a recipe for upgrading quantum computers to simulate complex quantum systems, such as molecules. Their discovery brings us closer to being able to predict how new drugs will behave within our bodies and has the potential to revolutionize pharmaceutical development.
Developing a new drug can take more than a decade and cost anywhere from hundreds of millions to billions of euro — with multiple failed attempts along the way. But what if we could predict how a drug worked in the body before its laboratory trials, and in doing so, speed up the entire process from years to months?
Drugs are composed of molecules, which in turn consist of atoms. And since atoms behave in a quantum mechanical manner, a quantum computer is needed to mimic their behavior. Herein lies the challenge. A traditional computer — no matter how big — could never manage the vast amount of information required by the task with the same precision.
At the University of Copenhagen’s Quantum for Life Centre, a team of physicists, computer scientists, and mathematicians has dedicated years of their careers to understanding how so-called quantum simulators, a type of specialized quantum computer, can be deployed for this task: to simulate, and in doing so predict, the behaviour of molecules.
It’s all about size, or is it?
One fundamental problem that all quantum computer researchers struggle with is size. Today’s quantum computers are simply too small. In practice, this means that they can only simulate a few atoms, which is problematic, because the complex molecules in medicinal drugs often contain millions of atoms.
Now, the Quantum for Life team has taken a significant step toward solving this problem by coming up with a mathematical recipe for making it easier to program quantum simulators, and in doing so, extract more computing power from a simulator of the same size.
“Quantum simulators consist not only of quantum hardware, but of quantum software too — essentially, the recipe for using the quantum simulator. With these new results, we are making a major leap on the software side, presenting a much better method than we’ve had before to scale up the existing hardware and solve more complex tasks,” says Dylan Harley, the research paper’s first author and a doctoral student at the Quantum for Life Centre.
The conventional wisdom about how to scale up a quantum simulator has been that it would need to be built from the ground up. The new quantum algorithm addresses this obstacle and is at the core of the quantum software. The algorithm introduces a controlled amount of noise among the particles being simulated, so as to ensure that the simulation does not stall, but carries on as desired. The idea is of a general nature and can be applied to any type of quantum hardware, regardless of whether it is based on atoms, ions, or even artificial atoms like superconducting qubits.
Could revolutionize pharmaceutical development
“Quantum technology is seen as the key to creating the new and improved medicines of the future. But without the ability to scale quantum simulators effectively, their practical use is very limited. That is why it’s essential to find out how our quantum software can support this scaling. And now we have a recipe to do just that,” says Matthias Christandl, professor of quantum theory and centre leader at the Quantum for Life Centre.
According to Christandl, the prospects will be revolutionary if the researchers succeed in developing an effective quantum simulator:
“If we can use a computer to simulate how a new drug will behave in a human body before conducting any experiments, it could fundamentally change the way we develop and test pharmaceuticals, which will significantly accelerate the amount of time from lab to patient.”
The next step will be to test the mathematical recipe on quantum hardware.