Fujitsu Unveils Breakthrough in Quantum Computing Speed
Fujitsu, a global leader in IT and communications technology, has made a monumental breakthrough in the field of quantum computing. The company announced today the development of a cutting-edge technique on a quantum simulator that significantly accelerates hybrid quantum-classical algorithms, achieving a remarkable 200 times the computational speed of previous simulations.
This groundbreaking advancement is particularly significant for larger-scale problems that require a multitude of qubits, such as simulations in the materials and drug discovery fields. With conventional methods, these simulations could take several hundred days. However, Fujitsu's new technology enables the simultaneous processing of a vast number of repetitively executed quantum circuit computations, effectively cutting down the time required to just one day. This is an estimated 200 times faster than conventional methods.
Fujitsu's innovative technology not only enhances computational speed but also simplifies problems on a larger scale with minimal loss of accuracy. By taking advantage of one of the world's largest-scale quantum simulators developed by Fujitsu, computations on a quantum simulator can now be completed in just one day, whereas it would have previously taken an estimated 200 days using traditional methods.
With its sights set on the future, Fujitsu plans to incorporate this groundbreaking technology into its hybrid quantum computing platform. This will greatly accelerate research into the practical application of quantum computers in various industries, including finance and drug discovery. Furthermore, Fujitsu aims to apply this technology to quantum simulators and expedite quantum circuit computations on actual quantum computers.
While the development of fault-tolerant quantum computers is ongoing worldwide, current quantum computers face numerous challenges, such as the inability to eliminate the effects of noise. In order to demonstrate the usefulness of quantum computers prior to the development of fault-tolerant versions, researchers are exploring practical applications for small and medium-sized quantum computers with a noise tolerance of 100 to 1,000 qubits.
Fujitsu's newly developed technology offers a groundbreaking solution to these challenges. Its performance speed is boosted by simultaneously distributing multiple repetitively executed quantum circuit computations and reducing the number of quantum circuit computations through accuracy degradation reduction. This is made possible using distributed processing technology, which divides the computation nodes of the quantum simulator into multiple groups and enables each group to execute different quantum circuits. Quantum circuit computation jobs can then be submitted through the network.
Moreover, Fujitsu has discovered that by capitalizing on the characteristic that terms with small coefficients have minimal impact on calculation results, it is feasible to both minimize the number of terms in the equation and prevent deterioration in computation accuracy. This significantly reduces the time required for quantum circuit computations.
This groundbreaking technology is expected to revolutionize the development of quantum algorithms for problems with a high number of qubits, as well as pave the way for the application of quantum computers in the fields of materials and finance. Fujitsu continues to push the boundaries of technological innovation, reaffirming its position as a pioneer in the world of quantum computing.
Analyst comment
Positive news. The development of a novel technique on a quantum simulator by Fujitsu will speed up quantum-classical hybrid algorithms by 200 times. This will benefit larger-scale problems in materials and drug discovery fields, reducing computational time significantly. Fujitsu plans to incorporate this technology into its hybrid quantum computing platform, accelerating research in fields like finance and drug discovery. Expect advancements in quantum algorithms and application of quantum computers in materials and finance.
