QunaSys, Inc. ("QunaSys"), the world's leading developer of innovative algorithms in chemistry, announced the launch of the Cloud version of its Quantum Computation Platform "Qamuy™" in an event for 60+ participants from QPARC chemistry industry consortium for practical research applications supported by Amazon Web Services Japan ("AWS").

QunaSys Inc. is a sponsor of Quantum Week 2021 (Oct 17 - 21) the leading quantum computing event that bridges the gap between the science of quantum computing and the development of the surrounding industry.

QunaSys, Inc., a quantum technologies company with a particular focus on algorithm and software development led by TenninYan, has joined the Pistoia Alliance, a global non-profit alliance and an advocate for open innovation in the life sciences. Hereafter, QunaSys and the Pistoia Alliance would closely cooperate to utilize quantum computational technology for an innovation in the pharmaceutical industry.

We posted a preprint that extensively analyzes penalty methods in variational quantum eigensolver to obtain a specific symmetric quantum state.

Dr. Nakagawa at QunaSys, Dr. Yoshioka at RIKEN (former QunaSys intern), Dr. Ohnishi at JSR Corp., and Dr. Mizukami at Osaka Univ (QunaSys advisor) posted a preprint on the use of variational quantum algorithms to calculate the band structure of solid-state systems.

Prof. Fujii (QunaSys Chief Advisor), Assistant Prof. Mitarai (QunaSys CSO), Special Associate Prof. Mizukami (QunaSys Advisor) from Osaka University, and Dr. Nakagawa from QunaSys have devised a method called "Deep VQE" that enables computation on large systems by iteratively using small-size quantum computers. The preprint is now available as "Deep Variational Quantum Eigensolver: a divide-and-conquer method for solving a larger problem with smaller size quantum computers".

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.