Lifeboat Foundation

How do we actually create and manipulate qubits, essential for realizing quantum computation? Chief Scientist of Hardware Technology Development at Quantinuum, Patty Lee, joins Brian Greene to discuss various quantum strategies, their achievements to date and pathways forward.

This program is part of the Big Ideas series, supported by the John Templeton Foundation.

Continue reading “Crafting Qubits: Harnessing Quantum Mechanics for Computation” »

Google argued that its new uber-powerful quantum computer is so fast that it may have tapped a parallel universe.

Google’s new quantum computing chip, Willow, has set a groundbreaking standard by achieving unparalleled speed and precision, outperforming supercomputers in specific tasks by millions of times. This revolutionary chip enhances quantum error correction, making scalable quantum systems a reality and unlocking new possibilities for artificial intelligence, scientific research, and real-world problem-solving. Willow’s success marks a major milestone in the integration of quantum computing and AI, driving innovation across industries.

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Continue reading “Google’s New Quantum Chip SHOCKED THE WORLD — 10 Million Times More Powerful!” »

A new hypothesis suggests that the very fabric of space-time may act as a dynamic reservoir for quantum information, which, if it holds, would address the long-standing Black Hole Information Paradox and potentially reshape our understanding of quantum gravity, according to a research team including scientists from pioneering quantum computing firm, Terra Quantum and Leiden University.

Published in Entropy, the Quantum Memory Matrix (QMM) hypothesis offers a mathematical framework to reconcile quantum mechanics and general relativity while preserving the fundamental principle of information conservation.

The study proposes that space-time, quantized at the Planck scale — a realm where the physics of quantum mechanics and general relativity converge — stores information from quantum interactions in “quantum imprints.” These imprints encode details of quantum states and their evolution, potentially enabling information retrieval during black hole evaporation through mechanisms like Hawking radiation. This directly addresses the Black Hole Information Paradox, which highlights the conflict between quantum mechanics — suggesting information cannot be destroyed — and classical black hole descriptions, where information appears to vanish once the black hole evaporates.

Researchers at Tohoku University and the University of California, Santa Barbara, have developed new computing hardware that utilizes a Gaussian probabilistic bit made from a stochastic spintronics device. This innovation is expected to provide an energy-efficient platform for power-hungry generative AI.

As Moore’s Law slows down, domain-specific hardware architectures—such as probabilistic computing with naturally stochastic building blocks—are gaining prominence for addressing computationally hard problems. Similar to how quantum computers are suited for problems rooted in quantum mechanics, probabilistic computers are designed to handle inherently probabilistic algorithms.

These algorithms have applications in areas like combinatorial optimization and statistical machine learning. Notably, the 2024 Nobel Prize in Physics was awarded to John Hopfield and Geoffrey Hinton for their groundbreaking work in machine learning.

Three distinct topological degrees of freedom are used to define all topological spin textures based on out-of-plane and in-plane spin configurations: the topological charge, representing the number of times the magnetization vector m wraps around the unit sphere; the vorticity, which quantifies the angular integration of the magnetic moment along the circumferential direction of a domain wall; and the helicity, defining the swirling direction of in-plane magnetization.

Electrical manipulation of these three degrees of freedom has garnered significant attention due to their potential applications in future spintronic devices. Among these, the helicity of a magnetic skyrmion—a critical topological property—is typically determined by the Dzyaloshinskii-Moriya interaction (DMI). However, controlling skyrmion helicity remains a formidable challenge.

A team of scientists led by Professor Yan Zhou from The Chinese University of Hong Kong, Shenzhen, and Professor Senfu Zhang from Lanzhou University successfully demonstrated a controllable helicity switching of skyrmions using spin-orbit torque, enhanced by thermal effects.

Google’s new Willow quantum processor has reignited discussions around blockchain security and their ability to withstand rapid advancements.

Just a few months after the previous record was set, a start-up called Quantinuum has announced that it has entangled the largest number of logical qubits – this will be key to quantum computers that can correct their own errors.

By Karmela Padavic-Callaghan

As our devices multiply and data demands grow, traditional wireless systems are hitting their limits. To meet these challenges, we have turned to an innovative solution. At the University of Melbourne and Monash University, we have developed a dual-carrier Modular Optical Phased Array (MOPA) communication system. At the core of our innovation is a groundbreaking concept: a modular phased array.

This design is inspired by the quantum superposition principle, applying its logic to enhance technical performance and efficiency. This cutting-edge technology is designed to make indoor wireless networks faster, more reliable and more secure, while addressing the limitations of traditional systems. Our research is published in the IEEE Open Journal of the Communications Society.