Quantum Interference To Enable Swift Processing of Huge Datasets - TechCrunchX


Scientists from the Physics department, University of Warsaw, Poland, in association with the University of Oxford and NIST, have demonstrated that quantum interference facilitates the processing of huge sets of data faster and more accurately than with standard methods. The results of their work have been published in Science Advances. This research may enhance applications of quantum technologies in artificial intelligence, robotics, and medical diagnostics, for example. The Fast Fourier Transform algorithm(FFT) has made possible since the 1970s to efficiently compress and transmit data, broadcast digital TV, store pictures, and talk over a mobile phone. Minus this algorithm, medical imaging systems based on magnetic resonance or ultrasound would not have been designed.

Developing quantum algorithms for optimization problems


For example, they can factor large numbers exponentially faster than classical computers, which would allow them to break codes in the most commonly used cryptography system. There are other potential applications for quantum computers, too, such as solving complicated chemistry problems involving the mechanics of molecules. But exactly what types of applications will be best for quantum computers, which still may be a decade or more away from becoming a reality, is still an open question. In a new Caltech study, accepted by the Institute of Electrical and Electronics Engineers (IEEE) 2017 Symposium on Foundations of Computer Science, researchers have demonstrated that quantum computing could be useful for speeding up the solutions to "semidefinite programs," a widely used class of optimization problems. These programs include so-called linear programs, which are used, for example, when a company wants to minimize the risk of its investment portfolio or when an airline wants to efficiently assign crews to its flights.

Atomic-sized 'MRI scanners' may lead to new drugs

Daily Mail - Science & tech

For scientists developing new drugs, knowing the structure of the molecules involved down to the atomic level can mean the difference between a new treatment and failure. Current imaging techniques are unable to work out the structure of some key proteins and other important biological molecules, leading to gaps in knowledge. But researchers in Australia are looking to an offshoot from quantum computing to solve the problem, essentially developing quantum MRI scanners to image individual atoms, which could lead to the development of new drugs. In a mind-bending piece of theoretical research, a team at the University of Melbourne is hoping to use quantum bits to'sense' individual atoms. More known for their role in quantum computing, quantum bits, or qubits, are the able to encode multiple states at once, compared with the traditional binary of 1's and 0's.

A quantum algorithm could help us bring AI to life


Artificial intelligence has a sort of buzzword recently, and one that could be put to use in a varied number of fields. In the same manner, quantum computing has also generated newfound interest as a technological game-changer -- one that could, among many uses, improve cybersecurity and even build a new internet. While both have certainly gone a long way in terms of recent developments, both aren't yet as perfect as most want them to be.

18 Corporations Working On Quantum Computing


Useful quantum computers are closer to becoming a reality as some of the world's biggest corporations try to bring the technology from the lab into the practical world. A quantum computer utilizes subatomic particles called qubits to speed up the solving of complex computations. Near-term expectations for quantum computers range from solving optimization problems to quantum-encrypted communications, and more. With the help of CB Insights' investment, acquisition, and partnership data, we identified 18 corporate groups involved in the development of commercialized quantum computing hardware and software. They are a diverse group of players, ranging from tech industry behemoths to defense contractors to national telecommunications companies.