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.
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 […]
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.
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.
If the tensions between the US are China are already inflamed, the recent news that China has built a much more powerful quantum computer is likely to cause much consternation. But it could lead to more investment flowing into US science and technology as Trump wants to see US at the forefront of the race for Quantum Dominance.
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.
After the major announcement of massive funding from the white house into AI and Quantum, new institutes are being set-up with the aim of furthering research and collaboration with industry partners. One institute at the Argonne National Laboratory named Q-Next will work with Intel on building research capabilities out in a number of key areas.
We rarely write about Intel and its quantum computing efforts. The company which has dominated much of the classical computing landscape remains rather quiet about their quantum computing effort. But Intel is one of the only chip makers out there who actually is involved in building Quantum Hardware.
Sadly the world still runs on carbon and despite the need to reduce it, or eliminate it completely there are still plenty of gas guzzlers on the road. The question is whether any optimization could help the environment without going full electric. Microsoft, Toyota and Jij worked on using Quantum algorithms to efficiently help traffic flow around the streets of Japan.
Near Brighton Beach, in Sussex, there is lab working on revolutionzing the world of computing. The team there are working on building a massive Quantum Computer which could herald massive new insights and abilities to compute. The Sussex team, led by Professor Winfried Hensinger at the University of Sussex, have made a major development towards […]