Ryuji Takagi (distinguished visiting researcher) from QunaSys Inc. proposed a general methodology for evaluating the optimal resource cost required for one of the most promising error mitigation methods for near-term devices, employing ideas and techniques developed in the field known as quantum resource theories.

QunaSys Inc. proudly announces the launch of Quantum Practical Application Research Community (QPARC), under the support of both academic and industry players. The community aims to learn basic skills for quantum computing and explore the world’s first practical application in the field of quantum chemistry. We are now inviting industry members to excitedly participate in this big challenge.

Tamiya (intern) and Nakagawa from QunaSys Inc. proposed new near-term quantum algorithms for calculating first- and second-order nonadiabatic couplings (NACs) and Berry’s phase, which are important quantities for analyzing properties of molecules and materials.

Kawai (intern) and Nakagawa from QunaSys Inc. proposed a near-term quantum machine learning algorithm for computing the excited state properties of a molecule, which are crucial for studies in quantum chemistry.

We released a paper (preprint) for calculating transition amplitudes of molecules, which are important quantities in photochemistry, authored by Ibe, Nakagawa, Yamamoto, and Mitarai from QunaSys Inc. and Dr. Gao and Dr. Kobayashi at Mitsubishi Chemical Corp. Science & Innovation Center.

QunaSys Inc. is excited to announce the close of a $2.5 million Series A investment from three experienced VCs based in Japan; Global Brain Corporation, Shinsei Corporate Investment and ANRI. The funds will be used to speed-up our R&D towards practical application of quantum computer.

We released a new algorithm called orbital optimized unitary coupled cluster (OO-UCC) for improving the efficiency of chemistry calculations on a quantum computer with our advisor Assoc. Prof. Wataru Mizukami (Quantum information and biology division, Osaka Univ.) as the first author of the paper (preprint). Mitarai, Nakagawa, Yamamoto, and Yan at QunaSys Inc. and Dr. Ohnishi at JSR Corporation contributed to the work as co-authors.

Endo (intern), Kurata (intern), and Nakagawa from QunaSys Inc. proposed a near-term quantum algorithm for computing the Green’s function, which is crucial for analyzing properties of molecules and materials.  Now you can read the preprint of the paper on arXiv.

QunaSys today announce start of Joint-Research with Mitsubishi Chemical for research on precise control of optical properties of organic materials, utilizing quantum computer.

Yoshioka, Nakagawa, and Mitarai from QunaSys Inc., and our advisor, Prof. Fujii, published a paper (preprint) that proposed an algorithm named “dissipative-system Variational Quantum Eigensolver (dVQE)” to simulate the non-equilibrium steady state on a quantum computer.