News
We posted a preprint that extensively analyzes penalty methods in variational quantum eigensolver to obtain a specific symmetric quantum state.
We posted a preprint that extensively analyzes penalty methods in variational quantum eigensolver to obtain a specific symmetric quantum state.
We propose a method for calculating the energy and band structure of solid-state systems using a quantum computer.
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.
We propose a method to utilize small-sized quantum computers to solve large 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".
We proposed a general methodology for evaluating the optimal resource cost required for error mitigation.
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 launch of Quantum Practical Application Research Community (QPARC)
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.
We proposed VQE-based algorithms for calculating nonadiabatic couplings and Berry’s phase.
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.
We proposed a near-term quantum machine learning algorithm for computing the excited state properties of a molecule.
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 proposed a method for calculating transition amplitudes of molecules on a near-term quantum computer.
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.
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