Fujitsu Labs and Quantum Benchmark begin joint research on algorithms with error suppression for quantum computing
Fujitsu Laboratories of Japan and Quantum Benchmark of Canada have announced they will conduct joint research on quantum algorithms using Quantum Benchmark’s error suppression technology.
The partners aim to advance the current generation of quantum computing platforms.
Quantum Benchmark, a start-up founded by leading researchers from the University of Waterloo’s Institute for Quantum Computing, is the leading provider of software solutions for error characterisation, error suppression and performance validation for quantum computing hardware. In this collaborative research project, the companies will develop practical quantum algorithms utilising Fujitsu’s AI algorithm development technology as well as its knowledge gained through Digital Annealer applications in finance, medicine and material development. Quantum Benchmark’s patented True-QTM software system, which enables optimal performance of current hardware, is a key to this development.
Accordingly, Fujitsu Laboratories and Quantum Benchmark will endeavour to solve problems in the fields of materials science, drug development and finance that are intractable to solve with conventional computers.
Quantum computers are expected to be able to perform a new form of computation by harnessing fundamental properties of the quantum world, such as entanglement and superposition. This is often explained by invoking the idea that they can process both 0 and 1 at the same time, and the continuum of states in between 0 and 1. This advantage comes by performing calculations using quantum bits, called ‘qubits’. This is unlike conventional computers, which process conventional bits, that can be only 0 or 1.
Quantum bits are fragile, however, and highly vulnerable to errors and noise and, as time goes on, the effects of noise add up, making the quantum calculation results inaccurate. Since calculations for pharmaceuticals and materials are time-consuming, there is a need to develop error-suppression methods enabling algorithms to overcome the effects of noise.
The research period kicks off in April and will run until March 2021, with a planned extension after April 2021. Fujitsu Labs will take responsibility for the development of quantum algorithm for applications like machine learning, and the development of performance analysis technology for quantum algorithm in situations.
Quantum Benchmark will support implementation of its True-QTM error diagnosis technology on current quantum platforms and support custom specific error suppression strategies and performance evaluation for quantum algorithms on current quantum computing platforms.
The partnership will expand the scope of the research beyond finance, drug and materials as it plans to develop quantum algorithms to be implemented in quantum computers for various applications, which could not be solved with conventional computers. The companies plan to demonstrate new applications on a 100+ qubit quantum computer by 2023.