Simulation Of Quantum Computing That Can Be Used On A Traditional Computer

The dream of superfast and powerful quantum computers has again been brought into focus, and large resources have been invested in research in Sweden, Europe, and the world. A Swedish quantum computer is to be built within ten years, and the EU has designated quantum technology one of its flagship projects.

At the moment, few useful algorithms are available for quantum computers.

However, it is expected that the technology will be hugely significant in simulations of biological, chemical and physical systems that are far too complicated for even the most powerful computers currently available. A bit in a computer can take only the value one or zero, but a quantum bit can take all values in between. Simply put, this means that quantum computers do not need to take as many operations for each calculation they carry out.

Professor Jan-Åke Larsson and his doctoral student Niklas Johansson, in the Division for Information Coding at the Department of Electrical Engineering, Linköping University, have come to grips with what happens in a quantum computer and why it is more powerful than a classical computer.

“We have shown that the major difference is that quantum computers have two degrees of freedom for each bit. By simulating an additional degree of freedom in a classical computer, we can run some of the algorithms at the same speed as they would achieve in a quantum computer,” says Jan-Åke Larsson.

They have constructed a simulation tool, Quantum Simulation Logic, QSL, that enables them to simulate the operation of a quantum computer in a classical computer. The simulation tool contains one, and only one, property that a quantum computer has that a classical computer does not: one extra degree of freedom for each bit that is part of the calculation.

“Thus, each bit has two degrees of freedom: it can be compared with a mechanical system in which each part has two degrees of freedom — position and speed. In this case, we deal with computation bits — which carry information about the result of the function, and phase bits — which carry information about the structure of the function,” Jan-Åke Larsson explains.

They have used the simulation tool to study some of the quantum algorithms that manage the structure of the function. Several of the algorithms run as fast in the simulation as they would in a quantum computer.

“The result shows that the higher speed in quantum computers comes from their ability to store, process and retrieve information in one additional information-carrying degree of freedom. This enables us to better understand how quantum computers work. Also, this knowledge should make it easier to build quantum computers, since we know which property is most important for the quantum computer to work as expected,” says Jan-Åke Larsson.

Jan-Åke Larsson and his co-workers have also supplemented their theoretical simulations with a physical version built with electronic components. The gates are similar to those used in quantum computers, and the toolkit simulates how a quantum computer works. With its help students, for example, can simulate and understand how quantum cryptography and quantum teleportation works, and also some of the most common quantum computing algorithms, such as Shor’s algorithm for factorisation.

(The algorithm works in the current version of the simulation but is equally fast — or slow — as in classical computers).

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Written by Eddie Gonzales Jr. – MessageToEagle.com Staff