Classiq and Microsoft have launched a global program for quantum software research and education dedicated to universities and educational institutions. Through this partnership, university professors, students, and researchers can use the combined offering to teach courses and conduct research on all facets of quantum computing.
The platform enables users to quickly investigate huge, complex quantum circuits as well as construct cutting-edge circuits for near-term quantum devices. Classiq’s academic program will offer students tools and knowledge they need to learn practical quantum software-development skills while providing researchers with a streamlined means of developing advanced algorithms capable of taking advantage of ever more powerful quantum hardware.
Qilimanjaro Quantum Tech, a Spanish quantum computing startup, has announced a partnership with GMV, a telecommunications group, to install a quantum computer at the Barcelona Supercomputing Centre (BSC). The quantum computer will be installed in BSC’s Quantum Computing Lab and will be made available to researchers and businesses for quantum computing experimentation and development.
The partnership aims to establish a quantum computing hub in Barcelona and accelerate the development of quantum computing technologies and applications in Spain. This is in line with objectives set in the Quantum Spain initiative promoted by the country’s Ministry of Economic Affairs and Digital Tranformation.
Over the years, theoreticians have developed ‘quantum error correction’ schemes that rely on encoding a qubit of information in a collection of physical qubits rather than in a single one. Some of these physical qubits can then be used by the machine to check on the health of the logical qubit and correct any errors. Thus, the more physical qubits there are, the better they can supress an erros. But more physical qubits also mean more chances that two of them can be affected by an error at the same time. This is the issue that Google researchers have worked on addressing, by performing two versions of a quantum error-correction procedure. One, using 17 qubits, was able to recover from one error at a time. The second version used 49 qubits and could recover from two simultaneous errors, also showing a slightly better performance than the smaller version could achieve.
Ping An Insurance, a Chinese holding conglomerate, has joined forces with Origin Quantum, a start-up, to develop financial algorithms and hardware that could help fight financial fraud. Within the framework of this partnership, a fraud detection model was developed based on quantum neural network technology. The model is said to be able to identify abnormal transfers and transactions and effectively identify complex money laundering transactions.
In a similar development, the Bank of China, China Merchants Bank, and the Bank of Communications are working with TuringQ, a quantum computing firm, to enable the use of quantum artificial intelligence algorithms in banking, in areas such as credit card fraud detection and investment portfolios optimisation.
China has become the third country – after Canada and the USA – where a company has developed a complete computer system using quantum technology for commercial use, according to South China Morning Post. Developed by the Origin Quantum startup, the 24-qubit quantum computer named Wuyuan is based on superconducting chip technology and is said to have been delivered to an unknown user more than a year ago. While not China’s first quantum computer, Wuyuan is considered to be the first such computer built for commercial purposes in the country.
The US Air Force awarded SandboxAQ a small business innovation research (SBIR) contract to research quantum navigation technologies. SandboxAQ will advance research and development for its quantum navigation system, designed to complement the Global Positioning System (GPS) for accurate navigation in environments where the loss of precision GPS may negatively impact operations. The company’s quantum sensor prototype is to be optimised in coordination with the Air Force.
A team of researchers from the Institute of Solid State Physics at the University of Tokyo in Japan, Johns Hopkins University in the United States, and the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany has discovered a quantum state where water remains liquid even at extremely low temperatures. The team found that the alignment of atoms – one of their central property – did not ‘freeze’, as it would typically happen, but remained in a ‘liquid’ state.
The researchers intended to create a quantum state in which the atomic alignment that is associated with the spins did not order, even at very low temperatures. To achieve this state, they used a special material – a compound of the elements, praseodymium, zirconium, and oxygen.
The new quantum material could serve as a model system to develop new quantum sensors that are highly sensitive.
Researchers at the University of Wisconsin-Madison, the Delft University of Technology, and the University of New South Wales have developed ‘wiggle wells’ to improve the accuracy of quantum computers. The researchers showed that tweaking a qubit`s physical structure, known as a silicon quantum dot, creates sufficient valley splitting to reduce computing errors.
The two experiments, which started in 2021, focused on evaluating the contribution of an algorithmic approach inspired by quantum computing in two areas: the valuation of financial products and the assessment of credit risks. The bank found that quantum neural networks can be beneficial to these types of calculations, but that the technology is too resource-intensive and involves long processing times. However, the technology can be used to optimise speed and memory is specific algorithmic techniques are applied.
The US Department of Energy (DOE) announced it is allocating US$9.1 million to 13 projects dedicated to advancing research in quantum information science (QIS) with relevance to nuclear physics. The projects selected for funding cover the development of next-generation materials and architectures for superconducting qubits, solid state quantum simulators, and quantum optomechanical sensors for improving measurements of optical decay, and other areas.
