Eriko Kaminishi

Analysis and development of variational quantum algorithms in open systems

Grant No.：JPMJPR2011

Researcher

Eriko Kaminishi

Outline

In this project, we will analyze the effect of noise on variational quantum algorithms and construct a method to evaluate noise errors. In addition, we will develop a method to get out of the local minima efficiently by analyzing from the viewpoint of the optimization method that has been developed in the field of machine learning. Furthermore, we will clarify the noise-accelerated conditions on quantum computation, and develop a variational quantum algorithms assisted by noise.

Hiroshi Shinaoka

Development of innovative quantum many-body computation methods for solids based on sparse modeling

Grant No.：JPMJPR2012

Researcher

Hiroshi Shinaoka

Outline

In this project, we will develop quantum many-body computation methods for solids by eliminating the bottlenecks of classical algorithms with quantum supremacy, leading to innovation in production processes through the search for new functional materials and acceleration of materials analysis. Specifically, we will develop (1) quantum-classical hybrid algorithms based on the dynamical mean-field theory and sparse modeling, (2) software programs for predicting the properties of solids, and (3) demonstrate the algorithms for real materials.

Shigetoshi Sota

Reseach and development for quntum dynamics simulation by quantum computer

Grant No.：JPMJPR2013

Researcher

Shigetoshi Sota

Outline

The quantum dynamics of quantum many-body systems is not well understood because of the difficulty of numerical simulations using classical computers. This study will develop hybrid quantum-classical algorithms for quantum dynamics of quantum many-body systems by using NISC devices. The developed algorithms will be implimented on NISC devices and the results will be compared with those obtained by quantum computing simulators with large scale classical computers to clarify a quantum advantage of the quantum computing. The developed algorithms will also be applied to quantum many-body systems to study the quantum dynamics.

Hiroyasu Tajima

Construction of a unified theory of symmetry, irreversibility, and quantumness and its application

Grant No.：JPMJPR2014

Researcher

Hiroyasu Tajima

Outline

I establish a unified theory of symmetry, irreversibility, and quantumness, and apply the theory to various areas including quantum computation, quantum thermodynamics, condensed matter physics and biophysics. In particular, I explore practical error correcting codes for fault-tolerant quantum computation, and seek methods for improving the performance of quantum devices including quantum heat engines.

Teruo Tanimoto

Quantum computer system architecture study for reliability

Grant No.：JPMJPR2015

Researcher

Teruo Tanimoto

Outline

The system-level reliability is essential to utilize quantum computers as tools. Though Many quantum circuit executions contribute to improving the reproducibility of results, it causes longer execution time and larger energy consumption. It is important to control the number of executions considering the characteristics of quantum algorithms and quantum devices. This study explores a reliable quantum computer’s architecture design by establishing a quantum computer simulation framework with a realistic qubit behavior model.

Takashi Tsuchimochi

Development of a comprehensive quantum algorithm for diverse electronic structures

Grant No.：JPMJPR2016

Researcher

Takashi Tsuchimochi

Outline

To elucidate complex chemical reactions by quantum computers, it is extermely important to develop quantum algorithms that exert their potentials even with limited quantum computational resources. The goal of this project is to create technologies that make full use of the early quantum computers by proposing and investigating quantum circuits and methodologies that are suitable for classicaly challenging systems, such as strongly entangled ground and excited states, especially in an accurate yet practical manner with a limited number of qubits.

Takashi Nakajima

Virtualization of quantum bits using real-time control software

Grant No.：JPMJPR2017

Researcher

Takashi Nakajima

Outline

Performance of quantum computing hardware is influenced by subtle details of control protocols in addition to physical properties of the quantum device. This project aims to develop closed-loop control algorithms for quantum computing hardware that can take full advantage of the hardware properties. This automatic control allows one to operate “virtual” quantum bits that exhibit superier properties than bare ones. The virtual quantum bits will be an essential building block of scalable quantum computers.

Yuuta Mizuno

Quantum Computing for Discrete Chemical Reaction Theory

Grant No.：JPMJPR2018

Researcher

Yuuta Mizuno

Outline

Atoms and molecules are discrete entities that behave as particles, and chemical reactions can be considered as discrete events in which the combination of interatomic bonds changes. Due to this discreteness and combinatorial explosion, chemical reaction theory has problems that require a huge amount of computational resources in the conventional computing, such as stoichiometric reaction pathway analysis and stochastic kinetic analysis. In this project, I develop frameworks for efficiently solving these problems by quantum computing, contributing to the synergistic development of chemical reaction theory and quantum information processing technology.

Kosuke Mitarai

Development of low-level task decomposition techniques in quantum computation

Grant No.：JPMJPR2019

Researcher

Kosuke Mitarai

Outline

While quantum computing hardware has made rapid progress in recent years, its performance in near future is expected to be limited in terms of the available number of qubits and the fidelity of gates. This project will develop techniques to divide a task that we wish to execute on a quantum device into smaller ones that can be performed with such near-term devices. In particular, it will focus on low-level quantum tasks such as quantum gates and circuits to perform the task splitting, which makes it applicable to a wide range of algorithms.

Hayata Yamasaki

Foundation of algorithms and implementations for high-speed quantum machine learning

Grant No.：JPMJPR201A

Researcher

Hayata Yamasaki

Outline

This collaborative research aims to lay a theoretical foundation of algorithms and implementations for quantum machine learning without ruining high speed and wide applicability. The research investigates how to realize advantage of quantum computers in future toward high-speed and large-scale machine learning. The results will lead to a theoretical foundation for how we living in the information-technology (IT) society supported by machine learning benefit from quantum computers, accelarating further progress of the IT society.