Quantum Computing | Quantum Research

BMW Group and AWS Launch “Quantum Computing Challenge” in Search of Solutions to Challenging Automotive Problems

BMW Group, in collaboration with Amazon Web Services, Inc. (AWS), have released the details of their invitation to quantum computing researchers, start-ups, and pioneering companies to come up with and propose innovative quantum algorithms to address challenging problems in the automotive sector.  Successful proposals will be tested on real quantum computing technologies.  The announcement follows […]

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Quantum Research

Google Makes Big Advancements Towards Large Scale Quantum Computers

The recent advancements that Google made showed that its Sycamore quantum computer can detect and fix computational errors. This development is important in order to bring large-scale quantum computing onto the market. Because the current systems are generating more errors than they actually solve. Google’s new advancements will show new error solving techniques that will vastly improve the computational power of the quantum computers.

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Quantum Landscape | Quantum Research

Amazon’s quantum computing service Braket has introduced a quantum circuit noise simulator named DM1

Last year we announced Amazon’s public unveiling of a new Quantum computing service named Amazon Braket and now almost nine months later, starting from May 25th, 2021, Amazon Braket has started offering their fully managed, density matrix simulator named DM1, created for the purpose of simulating quantum circuits with noise. The DM1’s goal is to help you investigate the effect of realistic noise on your quantum algorithms, also to inform you about error migration strategies and get you more accurate results of today’s quantum computing hardware. With the new DM1 simulator, you will be able to simulate up to 17 qubits and you will be able to run up to 35 simulations simultaneously, in order to accelerate your experiments. Also, for fast debugging and prototyping you can now use the local noise simulator available on the Amazon Braket SDK.

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Quantum Research

Cork goes Quantum. Ireland’s Minister Simon Harris launches the first national Quantum Computing Centre at Tyndall Institute

The multi-million investment will include 900 square meters of research facilities, dedicated to the development of quantum technologies at Tyndall’s freshly opened facility on Cork’s North Mall. This facility is planned to play a key role of Tyndall’s institute to double in size by the middle of this decade. Tyndall institute will also recruit five […]

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Algorithms | General Technology | Machine Learning | Quantum Machine Learning | Quantum Research

Quantum Machine Learning making it to Primetime with new Qiskit release 0.25

We covered the recent release of Qiskit 0.25 which is one of the most popular Quantum toolsets and languages. Supported by IBM, the framework has an established following, and therefore when there are major changes to the framework, you could say the zeitgeist changes. That major change amongst a few others is the inclusion of a dedicated Quantum Machine Learning Module.

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Quantum Policy | Quantum Research

Summary of White House’s new report on Quantum Computing

On the 7th October 2020, the White House in the United States released a report, named Quantum Frontiers: Report on Community Input to the Nation’s Strategy for Quantum Information Science. In it, there are eight identified frontiers that have problems impeding progress. As a result, the American government sought advice and help from the quantum community, and this report describes some solutions to these problems.

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Quantum Research

Creating fault-tolerant quantum computation

Noise and errors are some of the major problems that plague the field of quantum computing. There should be no surprise then that research teams around the globe are looking at ways to reduce noise and come up with clever schemes to deal with errors that take place during computing. Now a team at IBM have come up with a new methodology that enables a Quantum Computer to better compensate for errors.

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