A new paper titled “Layered hybrid superlattices as designable quantum solids” by Professor Xiangfeng Duan, postdoctoral researcher Dr. Zhong Wan and co-authors, recently published in Nature, introduces an exciting advancement in the development of customizable materials for quantum technologies.

Researchers have successfully created electrically defined quantum dots in zinc oxide (ZnO) heterostructures, marking a significant milestone in the development of quantum technologies.

Algorithmiq today announced a venture to accelerate error mitigation techniques for near-term quantum devices. Algorithmiq’s innovative quantum software solutions, paired with NVIDIA-accelerated supercomputing, are aimed at dramatically speeding up the timeline for achieving practical quantum advantage. This offers the potential to overcome current limitations in quantum computing, paving the way for more stable, cost-efficient, and robust quantum systems.

Researchers at German carmaker Volkswagen Group and IQM Quantum Computers (IQM), say a hybrid approach of quantum and classical computing for battery simulation could help boost electric car batteries.

A research team led by physicists at the Department of Energy’s Pacific Northwest National Laboratory, in collaboration with colleagues at MIT’s Lincoln Laboratory, the National Institute of Standards and Technology, along with multiple academic partners, published their findings to assist the quantum computing community to prepare for the next generation of qubit development.

Theorists at the Max Planck Institute of Quantum Optics have made a significant stride in the field of quantum computing. Their research addresses a long-standing question: can quantum computers really outperform classical computers in solving complex problems, despite the presence of errors? In a new study focusing on analogue quantum simulators – specialised quantum devices used to mimic physical systems – the researchers could show precisely that: quantum simulators can remain stable and provide accurate results, even when subjected to errors. This finding is groundbreaking as it suggests that practical quantum advantage, where quantum computers outscore classical ones, may be within reach sooner than previously thought. The work was recently published in Nature Communications.

A recent study by researchers from CSIRO and the University of Melbourne has made progress in quantum machine learning, a field aimed at achieving quantum advantage to outperform classical machine learning. Their work demonstrates that quantum circuits for data encoding in quantum machine learning can be greatly simplified without compromising accuracy or robustness. This research was published Sept.12 in Intelligent Computing, a Science Partner Journal.

QuTech and Fujitsu have recently announced a partnership to develop a blueprint for a scalable quantum computer. This collaboration is centered around delivering a comprehensive framework for building quantum computers that addresses all major components required for scalability and reliability. According to the announcement, the partnership takes a “full-stack approach,” which encompasses everything from physical qubit modules to high-level error-correction algorithms designed to stabilize quantum computations.

Radio Frequency (RF) and microwave power measurements are widely used to support applications across space, defence, and communication. These precise measurements enable engineers to accurately characterise waveforms, components, circuits, and systems. Taking this a step further, the NPL and Keysight Technologies collaborated on a groundbreaking research project, exploring RF power at cryogenic temperatures. This resulted in the world’s first successful demonstration of a commercial RF power sensor operating at temperatures as low as 3 kelvin.

Imagine a future where quantum computing is as accessible as the smartphone in your pocket. Where a quantum chip is embedded in your laptop, or thousands of quantum chips are deployed in supercomputing centres, forming the world’s most powerful quantum supercomputers. With this vision, Quantum Brilliance partnered with Pawsey Supercomputing Research Centre to develop the foundational steps of diamond-based room-temperature quantum computing. During this year’s Prime Minister Awards for Science, that bold ambition has been recognised, with Quantum Brilliance co-founder Dr Andrew Horsley named the 2024 New Innovator of the Year.