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Passive quantum error correction doubles qubit lifetime, reaching break-even point

A team of U.S. researchers has designed a passive quantum error correction technique that enables qubits to correct their own errors. Demonstrated by Shruti Shirol and colleagues at the University of Massachusetts Amherst, the protocol transforms the inevitable dissipation of energy in qubit systems from a hindrance into an advantage, offering a promising route toward practical quantum computing outside the lab. The research has been published in Physical Review X.

As the building blocks of quantum computers, qubits aren’t limited to being either a 0 or a 1, like the classical bits that computers use today. Instead, they can exist in quantum superpositions of these states, offering new ways of storing and processing information.

However, these states are notoriously fragile. As they interact with vibrations and impurities in their surroundings, they can easily be destroyed, resulting in energy being dissipated from the system. To date, this poses one of the biggest roadblocks to building quantum computers in realistic settings outside the lab.

Quasi-1D material unlocks electric control of charge waves beyond standard limits

The ability to control the movement of negatively charged particles (i.e., electrons) is central to the functioning of all modern electronic devices. This control is typically attained using a gate, an electrode via which an applied electric field alters a material’s electrical properties.

In many electronic devices, the effectiveness of electrical gating depends on a device’s capacitance (i.e., a measure of how much electric charge can be induced or stored for a given voltage). Recently, however, electronics engineers have been exploring the potential of new materials that exhibit unusual collective electron behaviors, which could be leveraged to surpass the gating performance of contemporary electronics.

Researchers at University of California, Los Angeles (UCLA) and University of California, Riverside (UCR) recently demonstrated the potential of a new quasi-one-dimensional (1D) quantum material, showing that it can dramatically enhance the electrical control of collective electronic states known as charge density waves (CDWs).

Ultrafast laser pulses reveal a material’s hidden state of matter

What would it take to instantly transform a material from an electrical insulator into a conductive state without ever touching it? Using ultrafast laser pulses and powerful X-rays, scientists at the National Synchrotron Light Source II (NSLS-II)—a U.S. Department of Energy (DOE) Office of Science user facility at DOE’s Brookhaven National Laboratory—developed a methodology to generate “hidden” phases and understand why they work.

This research not only reveals a hidden state of matter and its fundamental interactions but also points toward new ways to control materials for future electronics and quantum technologies. Their work was recently published in Physical Review X.

At the heart of the research is an interesting class of quantum materials called magnetoresistive manganites. Under the right conditions, their properties and behaviors can change completely with external stimuli. In this case, the team used short bursts of laser light lasting 100 femtoseconds (one hundred quadrillionths of a second) to “switch” a material from an insulating state, where electricity cannot flow, to a conductive one.

The Quantum Frontier: How Quantum Computing Is Reshaping Our Future

Quantum computing was once considered a distant scientific project that could revolutionize computing. That discussion has shifted drastically today. Quantum technologies have progressed beyond lab trials and theory. Emerging quantum capabilities include commercial quantum platforms, quantum networking projects, quantum sensor advancements, and powerful quantum processors.

Advances in recent years suggest we are entering the Quantum Frontier Era. National security, science, economic competitiveness, and cybersecurity will all feel the impact. The quantum age has begun. It’s started.

Can the UK Win the Quantum and Robotics Race? Rory Daniels, techUK

The UK keeps producing world-class technology, then watches many of its companies scale in America.

Rory Daniels, Head of Emerging Technology and Innovation at techUK, joins Thinking on Paper to discuss whether the United Kingdom can remain competitive as quantum computing, robotics, photonics, AI and advanced computing begin to converge.

The UK has strong research institutions, deep technical talent and globally significant companies. Its recurring problem is scale. Promising technologies are often developed in British universities and laboratories, then commercialised or funded elsewhere.

In this episode, we discuss:

-What makes the UK robotics industry different from the US and China.
–Whether robotaxis can coexist with London’s black-cab industry.
–Why UK technology companies struggle to scale after the startup stage.
–The role of universities, technology-transfer offices and regional innovation clusters.
–How techUK connects companies, researchers and policymakers.

Rory argues that the UK’s advantage may not lie in dominating a single technology. It may come from combining existing strengths in AI, chip design, robotics, quantum computing, photonics and connectivity.

Organoid Intelligence | Dr. Thomas Hartung | XPANSE 2024

Delve into the fascinating world of organoid intelligence at XPANSE 2024 in Abu Dhabi. Presented by Dr. Thomas Hartung, Professor of Medical Microbiology at Johns Hopkins University, this session explores the cutting-edge research and potential of lab-grown organoids to revolutionize computing, medicine, and neuroscience.

XPANSE, the world’s first visioning of the future with exponential technologies, is an Abu Dhabi-based global initiative and an invitation-only forum for exponential technology. XPANSE 2024, hosted by ADQ, convened 3,000 world’s brightest minds, technology trailblazers, Nobel Laureates, industry leaders, CEOs, ministers and scientists to set the horizons of exponential technologies spanning quantum, genomics, exotic computing, embodied intelligence, next-gen 2D matter, AGI, Brain-Machine Interfaces, Future G and beyond.

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