Einstein. Courtesy: Thomas Leuthard
The rate at which quantum computing is hitting the media stream is ever-increasing. This piece is a collection of recent articles and reports covering various aspects of quantum computing from the lens of technology and hardware. Mea Cubitt 

How AI Will Help Keep Time at the Tokyo Olympics | TIMING OF OLYMPIC races has not always been sophisticated. On April 10, 1896, some 17 runners competed in the very first Olympic marathon. The course ran approximately 40 km, and of the athletes representing five different nations, it was a Greek water carrier, Spyridon Louis, who eventually emerged victorious, winning in two hours, 58 minutes, and 50 seconds.  Source: WIRED.   How AI Will Help Keep Time at the Tokyo Olympics…

Aussie-led startup secures $600 million for “world-changing” quantum computing tech | An Aussie-led quantum computing startup in Silicon Valley has closed a US$450 million ($611 million) Series D raise, reportedly giving it a valuation of US$3.15 billion ($4.3 billion). Ended in 2016 and headed up by Australian co-founder and chief executive Jeremy O’Brien, PsiQuantum is working on building a fault-tolerant quantum computer that will have actual applications in the real world.  Source: SmartCompany.   Aussie-led startup secures $600 million for “world-changing” quantum computing tech…

Researchers create powerful quantum source with meta-lens array | Researchers for the first time have demonstrated a quantum light source based on a meta-lens array. The approach offers a promising platform for both high-dimensional photon entanglement and the coherent control of multiple photons, making it suitable for advancing quantum technologies for secure communication, computing, and other applications.  Source: PHYS.ORG.   Researchers create powerful quantum source with meta-lens array…

MIT & Google Quantum Algorithm Trains Wide and Deep Neural Networks | Quantum algorithms for training wide and classical neural networks have become one of the most promising research areas for quantum computer applications. While neural networks have achieved state-of-the-art results across many benchmark tasks, existing quantum neural networks have yet to clearly demonstrate quantum speedups for tasks involving classical datasets. Given deep learning’s ever-rising computational requirements, the use of quantum computers to efficiently train deep neural networks is a research field that could greatly benefit from further exploration.  Source: Synced.   MIT & Google Quantum Algorithm Trains Wide and Deep Neural Networks…

A new information storage and processing device | A team of scientists has developed a means to create a new type of memory, marking a notable breakthrough in the increasingly sophisticated field of artificial intelligence.   Source: PHYS.ORG.   A new information storage and processing device…