It is indeed possible to achieve fault-tolerant quantum computing by 2030. A company based in Paris has come out with a complete framework.
In a groundbreaking development poised to reshape the landscape of quantum computing, D-Wave Systems has announced their latest innovation: the Advantage2 quantum processor. As the industry grapples with an ever-increasing demand for computational power, this announcement signals a pivotal moment in the quest to harness the full potential of quantum technology.
Game-Changing Technology The Advantage2 processor boasts a staggering 7,000 qubits, significantly surpassing its predecessors and setting a new benchmark for quantum performance. This advancement is expected to enhance quantum annealing processes, thereby accelerating solutions for complex optimization problems that classical computers struggle to handle efficiently.
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Quantum computing stocks are soaring, but do the rising stock prices make sense?
Over the last couple of years, technology stocks have captivated the investment world thanks in large part to breakthroughs in artificial intelligence (AI).
Within the AI realm, semiconductor stocks in particular have benefited greatly. This is due to the fact that semiconductor companies such as Nvidia, Advanced Micro Devices, and Broadcom make important infrastructure such as graphics processing units (GPUs) and network equipment that are used in data centers, and without them, generative AI would be more of a lofty idea than a reality.
A groundbreaking step in quantum technology has been achieved with the demonstration of an integrated spin-wave quantum memory, overcoming challenges of photon transmission loss and noise suppression.
Quantum memories play a crucial role in creating large-scale quantum networks by enabling the connection of multiple short-distance entanglements into long-distance entanglements. This approach helps to overcome photon transmission losses effectively. Rare-earth ion-doped crystals are a promising candidate for implementing high-performance quantum memories, and integrated solid-state quantum memories have already been successfully demonstrated using advanced micro-and nano-fabrication techniques.
Limitations of Existing Quantum Memory.
The University of Science and Technology of China has achieved a significant milestone in quantum memory research, addressing a long-standing challenge in integrated solid-state devices. The team, led by Chuan-Feng Li and Zong-Quan Zhou, has demonstrated an integrated spin-wave quantum memory capable of extended storage times and on-demand retrieval. This development marks a critical step toward scalable quantum networks.
Quantum memories play a pivotal role in enabling long-distance entanglement by linking short-distance connections, overcoming photon transmission losses. Rare-earth ions doped crystals have emerged as promising systems for quantum memory, with integrated solid-state devices showing particular potential. However, prior implementations were limited to optically excited states, which inherently restrict storage time and retrieval flexibility due to the short lifetime of these states.
The breakthrough lies in the implementation of spin-wave storage. This approach encodes photons into spin-wave excitations in ground states, vastly extending storage times to the spin coherence lifetime and enabling on-demand retrieval. Nevertheless, the challenge of separating single-photon signals from noise caused by strong control pulses has hindered progress in integrated structures — until now.
We investigate the properties of a quantum walk which can simulate the behavior of a spin 1/2 particle in a model with an ordinary spatial dimension, and one extra dimension with warped geometry between two branes. Such a setup constitutes a \(1+1\) dimensional version of the Randall–Sundrum model, which plays an important role in high energy physics. In the continuum spacetime limit, the quantum walk reproduces the Dirac equation corresponding to the model, which allows to anticipate some of the properties that can be reproduced by the quantum walk. In particular, we observe that the probability distribution becomes, at large time steps, concentrated near the “low energy” brane, and can be approximated as the lowest eigenstate of the continuum Hamiltonian that is compatible with the symmetries of the model. In this way, we obtain a localization effect whose strength is controlled by a warp coefficient. In other words, here localization arises from the geometry of the model, at variance with the usual effect that is originated from random irregularities, as in Anderson localization. In summary, we establish an interesting correspondence between a high energy physics model and localization in quantum walks.
Anglés-Castillo, A., Pérez, A. A quantum walk simulation of extra dimensions with warped geometry. Sci Rep 12, 1926 (2022). https://doi.org/10.1038/s41598-022-05673-2
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This article examines Microsoft and Atom Computing in driving quantum computing to logical practicality, focusing on applications.
Scientists have vastly reduced the temperatures and conditions needed to grow special diamonds for computing, making faster and more efficient computing chips a more realistic proposition.
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The quasi-local notion of an isolated horizon is employed to study the entropy of black holes without any particular symmetry in loop quantum gravity. The idea of characterizing the shape of a horizon by a sequence of local areas is successfully applied in the scheme to calculate the entropy by the S O(1, 1) BF boundary theory matching loop quantum gravity in the bulk. The generating function for calculating the microscopical degrees of freedom of a given isolated horizon is obtained. Numerical computations of small black holes indicate a new entropy formula containing the quantum correction related to the partition of the horizon. Further evidence shows that, for a given horizon area, the entropy decreases as a black hole deviates from the spherically symmetric one, and the entropy formula is also well suitable for big black holes.
A new study in published in Physical Review Letters analyzes the most complete set of galaxy clustering data to test the ΛCDM model, revealing discrepancies in the formation of cosmic structures in the universe, hinting at a new physics.
The ΛCDM model is the standard model of cosmology describing the universe’s evolution, expansion, and structure. It encompasses cold dark matter (CDM), normal matter and radiation, and the cosmological constant (Λ), which accounts for dark energy.
The model has been successful in explaining several cosmological observations, including the large-scale structure of the universe, the accelerating expansion of the universe, and the cosmic microwave background (CMB) radiation, which is the afterglow of the Big Bang.
