Dramatically expanding the scale of quantum computer calculations Osaka University and Fujitsu|電経新聞

Dramatically expanding the scale of quantum computer calculations Osaka University and Fujitsu

量子回路ジェネレータ(Quantum Circuit Generator)

The Osaka University Quantum Information and Quantum Life Research Center and Fujitsu have jointly developed a technology to improve the accuracy of phase angles during phase rotation operations and a technology to automatically generate efficient operation procedures for quantum bits for the “STAR architecture,” a highly efficient phase rotation gate quantum computing architecture that they are developing with the aim of early practical application of quantum computers.
These new technologies have dramatically expanded the scale of quantum computer calculations, and demonstrated that it is possible to perform calculations to estimate the energy of matter in about 10 hours, which takes about five years on current computers, using 60,000 qubits, an order of magnitude less than the scale typically required to exceed the calculation speed of current computers in fault-tolerant quantum computing (FTQC), and have established a path to early practical application of quantum computers. It is said that 60,000 qubits will be realized as early as around 2030.
These results are the first to show how quantum superiority can be achieved, in which quantum computers can solve problems faster than current computers, in the Early-FTQC era, which is expected to arrive around 2030. It is expected that this will accelerate technological innovation in a variety of fields, including materials development and drug discovery, for example by enabling large-scale analysis of the Hubbard model for the development of high-temperature superconductors, which may in the future lead to reduced transmission losses in power infrastructure.
The two parties aim to further develop the “STAR architecture” and to be the first in the world to realize a practical quantum computer, thereby solving social issues such as decarbonization and reducing the development costs of new materials.

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