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Category: computing – Page 2

Near-perfect defects in 2D material could serve as quantum bits

Scientists across the world are working to make quantum technologies viable at scale—an achievement that requires a reliable way to generate qubits, or quantum bits, which are the fundamental units of information in quantum computing.

The task has so far remained elusive, but one of the materials that has garnered a lot of attention as a possible qubit platform is (h-BN), a 2D material that can host solid-state single-photon emitters (SPEs). Like the name indicates, SPEs are atomic structures in solid materials that can produce individual photons.

In a new study published in Science Advances, researchers at Rice University and collaborators at Oak Ridge National Laboratory and the University of Technology, Sydney report the first demonstration of low noise, room-temperature quantum emitters in h-BN made through a scalable growth technique.

Topological insulators boost ultra-thin magnet strength by 20% for next-gen electronics

A team of international researchers led by the University of Ottawa has made a breakthrough in the development of ultra-thin magnets—a discovery that could lead to faster, more energy-efficient electronics, quantum computers, and advanced communication systems.

The study, led by Hang Chi, Canada Research Chair in Quantum Electronic Devices and Circuits, & Assistant Professor of Physics at uOttawa’s Faculty of Science, demonstrates a new way to strengthen magnetism in materials just a few atoms thick. This is a critical step toward making these practical for real-world technologies.

The paper is published in the journal Reports on Progress in Physics.

TPU Deep Dive

Let’s dive in and look at TPU internals from the bottom up.

I’ve been working with TPUs a lot recently and it’s fun to see how they had such different design philosophies compared to GPUs.

The main strongpoint for TPUs is in their scalability. This is achieved through a co-design of both the hardware side (e.g. energy efficiency and modularity) and the software side (e.g. XLA compiler).

To give a brief tldr on TPUs, it’s Google’s ASIC that focuses on two factors: extreme matmul throughput + energy efficiency.

Photons collide in the void: Quantum simulation creates light out of nothing

Using advanced computational modelling, a research team led by the University of Oxford, working in partnership with the Instituto Superior Técnico in the University of Lisbon, has achieved the first-ever real-time, three-dimensional simulations of how intense laser beams alter the ‘quantum vacuum’ — a state once assumed to be empty, but which quantum physics predicts is full of virtual electron-positron pairs.

This Groundbreaking Quantum Clock Ticks With Incredible Precision and Almost No Energy Loss, Setting a New Global Standard

IN A NUTSHELL ✨ Scientists developed a new quantum clock that achieves extraordinary precision with reduced energy consumption. 🔬 The clock operates on the principle of coherent quantum transport, minimizing energy loss by avoiding constant measurement. 💡 This innovation could significantly impact quantum computing and other technologies requiring precise synchronization. 🌍 Researchers are building prototypes

Scientists demonstrate unconditional exponential quantum scaling advantage using two 127-qubit computers

Quantum computers have the potential to speed up computation, help design new medicines, break codes, and discover exotic new materials—but that’s only when they are truly functional.

One key thing that gets in the way: noise or the errors that are produced during computations on a quantum machine—which in fact makes them less powerful than —until recently.

Daniel Lidar, holder of the Viterbi Professorship in Engineering and Professor of Electrical & Computer Engineering at the USC Viterbi School of Engineering, has been iterating on , and in a new study along with collaborators at USC and Johns Hopkins, has been able to demonstrate a quantum exponential scaling advantage, using two 127-qubit IBM Quantum Eagle processor-powered quantum computers, over the cloud.

Magically reducing errors in quantum computers: Researchers invent technique to decrease overhead

For decades, quantum computers that perform calculations millions of times faster than conventional computers have remained a tantalizing yet distant goal. However, a new breakthrough in quantum physics may have just sped up the timeline.

In an article titled “Efficient Magic State Distillation by Zero-Level Distillation” published in PRX Quantum, researchers from the Graduate School of Engineering Science and the Center for Quantum Information and Quantum Biology at the University of Osaka devised a method that can be used to prepare high-fidelity “magic states” for use in quantum computers with dramatically less overhead and unprecedented accuracy.

Quantum computers harness the fantastic properties of quantum mechanics such as entanglement and superposition to perform calculations much more efficiently than classical computers can. Such machines could catalyze innovations in fields as diverse as engineering, finance, and biotechnology. But before this can happen, there is a significant obstacle that must be overcome.