Researchers have discovered new and more efficient computational methods to combine the reliability of classical computers with the strength of quantum systems.
This new computational method opens the door to a variety of algorithms and experiments that bring quantum researchers closer to discovering short-term applications and technologies.
“In the future, quantum computers will be able to be used in a variety of applications, such as removing carbon dioxide from the atmosphere, developing artificial limbs, and designing more efficient medicines,” said quantum computing research. A senior researcher at the institute, Christine Muschik (IQC) and a faculty member of physics and astronomy at the University of Waterloo.
The IQC research team, affiliated with the University of Insbrook, is the first team to propose a measurement-based approach with a regular computer-based feedback loop and invent new ways to tackle hard computing problems. These methods are resource efficient and customized for specific types of problems, allowing small quantum states to be used.
Hybrid computing, in which a regular computer processor and a quantum coprocessor are paired in a feedback loop, provides researchers with a more robust and flexible approach than trying to use a quantum computer alone.
Researchers are currently building hybrid computers based on quantum gates, but Muschik’s research team was interested in quantum computation that could be performed without gates. They designed an algorithm that performs hybrid quantum classical computations by performing a series of measurements in intertwined quantum states.
The team’s theoretical research is good news for quantum software developers and experimenters as it provides a new way of thinking about optimization algorithms. This algorithm provides high error tolerance, which is often a problem in quantum systems, and works in a wide range of quantum systems, including the photonic quantum coprocessor.
Hybrid computing is a new frontier in short-term quantum applications. By removing the reliance on quantum gates, Muschik and her team can remove the struggle with cumbersome and delicate resources and instead use intertwined quantum states to allow computers to adapt to the dataset. I believe we can design a feedback loop. I am studying in a more efficient way.
“Quantum computers have the potential to solve problems that supercomputers can’t solve, but they’re still experimental and fragile,” Music said.
This project is funded by CIFAR.
Combining classical and quantum computing opens the door to new discoveries-ScienceDaily
Source link Combining classical and quantum computing opens the door to new discoveries-ScienceDaily