Toppan’s quantum research paper and blueqat selected for IEEE’s QCE21 poster program
TOKYO, October 19, 2021 – Toppan, a global leader in communications, security, packaging, decorative materials and electronics solutions, and blueqat, a leading company in quantum software and learning solutions machine, collaborate in research on photonic quantum computation.1 A research paper has been included in the poster program of the International Conference on Quantum Computing and Engineering (QCE), organized by the Institute of Electrical and Electronics Engineers (IEEE) .2 The article was presented at 2:30 p.m. MST on October 18.
The research paper concerns the implementation of a new approach which reduces the computation time for the photonic quantum method of quantum computing. The use of this new method should allow high speed photonic quantum calculations in the future.
About the research paper
Title: Simulation of continuously variable quantum systems with a tensor network
Authors: Ryutaro Nagai (blueqat inc.), Takao Tomono (Toppan Inc.), Yuichiro Minato (blueqat inc.)
Quantum computers have received increasing attention in recent years as next-generation machines with high processing capacity. Research institutes, IT companies, enterprises and other enterprises targeting practical applications develop hardware, computational methods and network technologies. Hardware development in particular is in its early stages and various methods are being considered to improve processing power. The development of the superconducting method3 is the most advanced, but the operating temperatures must be close to absolute zero (-273 ℃). Cooling therefore requires large-scale equipment and consumes an enormous amount of power, and creating more compact equipment is a tall order. In contrast, the photonic quantum method can be performed at room temperature and consumes only small amounts of energy, which allows devices to be compact. This has fueled the anticipation of a potential for commercial use, but research into computational methods is not yet sufficient, and interest is therefore currently focused on the implementation of such techniques.
Toppan and blueqat responded to this challenge by leveraging their accumulated knowledge on the processing of photons and quantum information to design a new method of photonic quantum computation. Both companies have succeeded in reducing the computation time to one twenty-seventh of the time taken with the previous methods. This should speed up photonic quantum computing in the future. Through a digital transformation (DX) enterprise using quantum photonic methods, the two companies also aim to contribute to the expanded use of quantum computers and quantum communication that will enable a safe and secure digital society in the future.
Overview of the research paper
1) Implementation of the photonic quantum computation method
Using tensor networks4 as a means to simulate quantum computation, Toppan and blueqat established a method to create photonic quantum circuits, perform photonic quantum computations, and reduce computational time.
2) Application of the structure of the tensor network to quantum computation CV
This new technique has reduced computational time by applying singular value decomposition in tensor lattice structures called Matrix Product States (MPS) 5 to continuous variable quantum computation (CV) 6. The efficiency of the new calculation technique has been confirmed compared to prior techniques. In the future, Toppan and blueqat will make an additional comparison with other methods and check their effectiveness.
Toppan leverages its know-how in photon management to advance research and development in quantum computing using the quantum photon method. Toppan has developed a method for analyzing photonic modes with continuous variables. The company intends to further improve this method and apply it to photonic quantum circuits and quantum communication using such circuits.
“It is well known that quantum computers have the potential to contribute to solutions to a range of social problems,” said Takashi Ito, general manager of Toppan’s digital innovation division. “The photonic quantum method should be widely used because operation at room temperature is possible and it saves energy, making it a technology that can bring us closer to quantum computers. I hope the results of this research will help guide the practical use of quantum computers using the photonic quantum method. “
blueqat will use its in-depth knowledge of quantum information to drive the development of photonic quantum computing software (the “photonqat” simulator). More precisely, blueqat has developed a method to incorporate tensor networks in photonic quantum computation. The company plans to advance the computational method and apply it to middleware development.
“We are starting to see photonic quantum computers being applied to society around the world, and the potential for their application is not limited to computing, but is expected to extend to communication and a wide range of other fields,” said said Yuichiro Minato, CEO of blueqat. /Technical director. “This research focuses on a technology that can form a bridge between basic research and application, and we believe it will significantly advance the practical use of photonic quantum computers.”
Toppan and blueqat will conduct fundamental research in photonic quantum computation, including computational methods and algorithms, targeting a company’s industrial application of quantum computing through the development of software and device technologies.
1. Photonic quantum computing is a method of quantum computing in which particles of light (photons) are used as vectors of quantum information.
2. The Institute of Electrical and Electronics Engineers (IEEE) is the world’s largest academic research organization in the field of electrical and information engineering. Based in the United States, it has more than 423,000 members in more than 160 countries.
3. Superconductivity is a method of quantum computation that uses superconducting elements as quantum bits.
4. A tensor network is an efficient computing technique for quantum systems.
5. Matrix Product States (MPS) are tensor networks formed by the accumulation of several lines.
6. Continuously variable quantum computation (CV) refers to photonic quantum computation using the constantly changing values of the phase and amplitude of light.
About the International Conference on Quantum Computing and Engineering (QCE)
Launched in 2020, QCE is one of the largest annual international conferences on quantum computing and engineering for the quantum industry. The conference includes the presentation of articles and a program of poster sessions with a different perspective from regular academic and business conferences to bridge the gap between quantum computing science and the growth of the related industry. Over 800 experts from 45 countries and regions attended the first conference in 2020. Even more participants are expected for this year’s event, which will be held fully online from October 17-22.
blueqat is a leading quantum software and machine learning solutions company with a mission to solve humanity’s intractable problems. blueqat has developed various software systems since its establishment in 2008 and entered the quantum computing industry in 2014.
Established in Tokyo in 1900, Toppan is a leading and diverse global supplier committed to providing sustainable integrated solutions in areas such as printing, communications, security, packaging, decorative materials, electronics and digital transformation. Toppan’s global team of more than 50,000 employees offers optimal solutions made possible by expertise and cutting-edge technologies to meet the diverse challenges of each industry and company and contribute to the achievement of common development goals. sustainable.
For more information visit https://www.toppan.com/fr.