NISQ | Jotup

QunaSys to Host Workshop on Exploring Quantum Computing Applications in the CAE Field

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水曜日, 3月 27, 2024

NISQ, Research, Quantum, CAE, Computer-aided engineering, Bridgestone, CCUS, Multimedia, Microscope

TOKYO, March 26, 2024 /PRNewswire/ -- QunaSys Inc., a leading quantum technology start-up, announced today that it will host a workshop dedicated to exploring potential applications of quantum computing in the field of Computer-Aided Engineering (CAE).

Key Points:

TOKYO, March 26, 2024 /PRNewswire/ -- QunaSys Inc., a leading quantum technology start-up, announced today that it will host a workshop dedicated to exploring potential applications of quantum computing in the field of Computer-Aided Engineering (CAE).
In the CAE field, quantum speed-up using quantum computers holds promise as a crucial application area.
This event will feature discussions on computational challenges in the CAE field and explore potential applications and impact of quantum computing and comparison to classical computing under two paradigms: the NISQ (Noisy Intermediate-Scale Quantum) era and the FTQC (Fault-Tolerant Quantum Computing) era.
The workshop is open to professionals, researchers, and executives in the CAE field interested in harnessing the potential of quantum computing.

Fujitsu develops technology to speed up quantum circuit computation in quantum simulator by 200 times

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月曜日, 2月 19, 2024

Algorithm, Variational quantum eigensolver, Computer, Quantum, Noise, Drug discovery, State vector, Eye, Communication, Behavior, NISQ, RPC, Research, Microscope

For quantum circuit computations using conventional quantum and classical hybrid algorithms, the number of times of quantum circuit computation increases depending on the scale of the problem to be solved.

Key Points:

For quantum circuit computations using conventional quantum and classical hybrid algorithms, the number of times of quantum circuit computation increases depending on the scale of the problem to be solved.
Additionally, Fujitsu will not only apply this technology to quantum simulators, but also to accelerate quantum circuit computations on actual quantum computers.
By applying VQE (3), a typical NISQ algorithm, Fujitsu, for example, has developed a quantum simulator for quantum application development (4) and has been working to speed up quantum circuit computation itself.
[4] A quantum simulator for quantum application development :Fujitsu achieves major technical milestone with world's fastest 36 qubit quantum simulator (March 30, 2022)
[5] Quantum circuit parameters :Rotation angle of the gate of the quantum circuit for adjusting the reference quantum state to a physically meaningful quantum state.

Rigetti Computing Awarded Innovate UK Grant to Develop Quantum Machine Learning Techniques for Financial Data Streams

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木曜日, 1月 11, 2024

Standard Chartered, Rigetti Computing, Machine learning, Imperial College London, University, Standard, Amazon Web Services, Imperial, Area studies, Map, Algorithm, Digital, Innovation, Software, AWS, HPC, NISQ

LONDON, Jan. 11, 2024 (GLOBE NEWSWIRE) -- Rigetti UK Limited, a wholly owned subsidiary of Rigetti Computing, Inc. (Nasdaq: RGTI) (“Rigetti” or the “Company”), a pioneer in full-stack quantum-classical computing, today announced that it was awarded an Innovate UK grant as part of the Feasibility Studies in Quantum Computing Applications competition.

Key Points:

LONDON, Jan. 11, 2024 (GLOBE NEWSWIRE) -- Rigetti UK Limited, a wholly owned subsidiary of Rigetti Computing, Inc. (Nasdaq: RGTI) (“Rigetti” or the “Company”), a pioneer in full-stack quantum-classical computing, today announced that it was awarded an Innovate UK grant as part of the Feasibility Studies in Quantum Computing Applications competition.
The consortium aims to use quantum computing to improve current classical machine learning techniques used by financial institutions to analyze complex data streams.
Classical machine learning techniques used to assist and provide insights to these services have limitations as these data streams are, in general, complex.
Combining quantum computing with classical machine learning methodology could offer more powerful resources for processing these data streams, given the potential for quantum computers to process some types of information more efficiently than with classical resources alone.

RIKEN Selects Quantinuum System Model H1 for Large-Scale Hybrid Quantum-Supercomputing Platform in Japan

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水曜日, 1月 10, 2024

NEDO, New energy, Research, Computational science, SoftBank Group, University, Computer, Osaka University, University of Tokyo, HPC, NISQ, Ministry, Television

BROOMFIELD, Colo. and LONDON, Jan. 9, 2024 /PRNewswire/ -- Quantinuum, the world's largest integrated quantum computing company, and RIKEN, Japan's largest comprehensive research institution and home to a world-leading high-performance computing (HPC) center, have announced an agreement in which Quantinuum will provide access to Quantinuum's highest performing H1-Series ion-trap quantum computing technology to RIKEN. Under the agreement, Quantinuum will install the hardware at RIKEN's campus in Wako, Saitama.

Key Points:

Under the agreement, Quantinuum will install the hardware at RIKEN's campus in Wako, Saitama.
The deployment will be part of RIKEN's project to build a quantum-HPC hybrid platform consisting of high-performance computing systems, such as the supercomputer Fugaku and quantum computers.
As the project goal, RIKEN and its collaborators aim to demonstrate the advantages of such hybrid computational platforms for deployment as services in the future post-5G era.
"We are honored to be selected to be part of this ambitious, advanced project in Japan," said Dr. Rajeeb Hazra, CEO of Quantinuum.

RIKEN Selects Quantinuum System Model H1 for Large-Scale Hybrid Quantum-Supercomputing Platform in Japan

Retrieved on:

水曜日, 1月 10, 2024

NEDO, New energy, Research, Computational science, SoftBank Group, University, Computer, Osaka University, University of Tokyo, HPC, NISQ, Ministry, RIKEN, Television

BROOMFIELD, Colo. and LONDON, Jan. 10, 2024 /PRNewswire/ -- Quantinuum, the world's largest integrated quantum computing company, and RIKEN, Japan's largest comprehensive research institution and home to a world-leading high-performance computing (HPC) center, have announced an agreement in which Quantinuum will provide access to Quantinuum's highest performing H1-Series ion-trap quantum computing technology to RIKEN. Under the agreement, Quantinuum will install the hardware at RIKEN's campus in Wako, Saitama.

Key Points:

Under the agreement, Quantinuum will install the hardware at RIKEN's campus in Wako, Saitama.
The deployment will be part of RIKEN's project to build a quantum-HPC hybrid platform consisting of high-performance computing systems, such as the supercomputer Fugaku and quantum computers.
As the project goal, RIKEN and its collaborators aim to demonstrate the advantages of such hybrid computational platforms for deployment as services in the future post-5G era.
"We are honored to be selected to be part of this ambitious, advanced project in Japan," said Dr. Rajeeb Hazra, CEO of Quantinuum.

Rigetti Computing Reports Third Quarter 2023 Results

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木曜日, 11月 9, 2023

BERKELEY, Calif., Nov. 09, 2023 (GLOBE NEWSWIRE) -- Rigetti Computing, Inc. (Nasdaq: RGTI) (“Rigetti” or the “Company”), a pioneer in full-stack quantum-classical computing, today announced its financial results for the third quarter ended September 30, 2023.

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BERKELEY, Calif., Nov. 09, 2023 (GLOBE NEWSWIRE) -- Rigetti Computing, Inc. (Nasdaq: RGTI) (“Rigetti” or the “Company”), a pioneer in full-stack quantum-classical computing, today announced its financial results for the third quarter ended September 30, 2023.
In the third quarter of 2023 Rigetti expanded its QPU customer base with its delivery of a 9-qubit quantum processing unit (QPU) to another premier national laboratory.
In September 2023, Rigetti was awarded a DARPA IMPAQT contract to advance quantum algorithms for solving combinatorial optimization problems.
Additionally, in October 2023, Rigetti was awarded an Innovate UK grant as part of the Feasibility Studies in Quantum Computing Applications competition.

BlueQubit’s Algorithm Chosen by DARPA: Leveraging GPU Simulators and Infrastructure to Advance Quantum AI

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月曜日, 10月 23, 2023

Software, Networks, Defense, Contracts, Artificial Intelligence, Data Management, Technology, Security, DARPA, NISQ, Quantum, Algorithm, Microscope

This recognition emphasizes the company’s unwavering commitment to revolutionizing the quantum computing landscape, with a focus on development of quantum AI/ML algorithms for Noisy Intermediate-Scale Quantum (NISQ) devices.

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This recognition emphasizes the company’s unwavering commitment to revolutionizing the quantum computing landscape, with a focus on development of quantum AI/ML algorithms for Noisy Intermediate-Scale Quantum (NISQ) devices.
- Hrant Gharibyan, CEO at BlueQubit Inc.
A notable challenge has been in areas like cybersecurity in defense and training of large AI models.
With the advent of quantum hardware boasting more than 100 qubits and 10,000 two-qubit gates, new horizons of solutions are emerging.
Their shared expertise on neutral-atom quantum computers – known for their scalability and improved gate fidelity – is central to the project.

Fujitsu and RIKEN develop superconducting quantum computer at the RIKEN RQC-Fujitsu Collaboration Center, paving the way for platform for hybrid quantum computing

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木曜日, 10月 5, 2023

Algorithm, CCSD, RIKEN, Quantum, HPC, Fujitsu, Environment, Software, Drug discovery, Acceleration, NISQ, Noise, Research, Computer, Microscope

The new quantum computer leverages the technology developed by RIKEN and a consortium of joint research partners including Fujitsu for Japan's first superconducting quantum computer, which was first revealed to the public in March 2023.

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The new quantum computer leverages the technology developed by RIKEN and a consortium of joint research partners including Fujitsu for Japan's first superconducting quantum computer, which was first revealed to the public in March 2023.
Accompanying this announcement, Fujitsu and RIKEN further revealed the launch of a platform for hybrid quantum computing, which combines the computing power of the newly developed 64 qubit superconducting quantum computer with one of the world's largest (1) 40 qubit quantum computer simulators developed by Fujitsu.
Fujitsu and RIKEN are further developing a hybrid quantum algorithm that links superconducting quantum computing with high-performance computing (HPC).
To address these issues, Fujitsu and RIKEN have launched a new hybrid quantum computing platform that combines the advantages of superconducting quantum computers and quantum simulators, ultimately contributing to further usage of the superconducting quantum computer developed at the RIKEN RQC-Fujitsu Collaboration Center and the development of new quantum applications.

Infleqtion's Quantum Machine Learning Technology Chosen for DARPA's IMPAQT Program

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火曜日, 10月 10, 2023

Noisy intermediate-scale quantum era, Algorithm, Data analysis, DARPA, NISQ, Genomics, Machine learning, Microscope

The project aims to advance the state-of-the-art in quantum algorithms for generative machine learning.

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The project aims to advance the state-of-the-art in quantum algorithms for generative machine learning.
"Our goal is to revolutionize data analysis by utilizing quantum algorithms that can efficiently model long-range correlations, ultimately advancing machine learning applications in areas such as genomics and sentiment analysis."
The IMPAQT program is propelled by advancements in quantum information processing, including Noisy Intermediate-Scale Quantum (NISQ) devices, surpassing 100 qubits in multiple platforms.
Such a wide range of possible application domains highlights the potential impact of quantum machine learning models for efficient sequence data analysis.

Rigetti Computing Awarded DARPA IMPAQT Contract to Advance Quantum Algorithms for Solving Combinatorial Optimization Problems

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火曜日, 10月 3, 2023

SAAM, Partnership, DARPA, Rigetti Computing, QPU, Research, USRA, NISQ, NASA, Algorithm, 3D printing, Cryptocurrency

BERKELEY, Calif., Oct. 03, 2023 (GLOBE NEWSWIRE) -- Rigetti Computing, Inc. (Nasdaq: RGTI) (“Rigetti” or the “Company”), a pioneer in full-stack quantum-classical computing, today announced that it was awarded a Defense Advanced Research Projects Agency (DARPA) project as part of the Imagining Practical Applications for a Quantum Tomorrow (IMPAQT) program to advance the state-of-the-art in quantum algorithms for solving combinatorial optimization problems.

Key Points:

BERKELEY, Calif., Oct. 03, 2023 (GLOBE NEWSWIRE) -- Rigetti Computing, Inc. (Nasdaq: RGTI) (“Rigetti” or the “Company”), a pioneer in full-stack quantum-classical computing, today announced that it was awarded a Defense Advanced Research Projects Agency (DARPA) project as part of the Imagining Practical Applications for a Quantum Tomorrow (IMPAQT) program to advance the state-of-the-art in quantum algorithms for solving combinatorial optimization problems.
Current quantum algorithms are limited in the size of the problems they can solve by the available number of qubits on a QPU.
In partnership with NASA and USRA, Rigetti is implementing hybrid quantum classical algorithms for solving binary optimization problems by mapping these problems to quantum processors at increasing scales.
Novel algorithms that solve hard combinatorial optimization problems could have a profound impact on supply chains, logistics, and other industries with complex operations.