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Earlier this year, experiments shattered expectations by pushing the limits of what classical computing was believed to be capable of. Not only did the old fashioned binary technology crack a problem considered to be unique to quantum processing, it outperformed it.

Now physicists from the Flatiron Institute’s Center for Computational Quantum Physics in the US have an explanation for the feat which could help better define the boundaries between the two radically different methods of number-crunching.

The problem involves simulating the dynamics of what’s known as a transverse field Ising (TFI) model, which describes the alignment of quantum spin states between particles spread across a space.

However, for the first time, two dark matter experiments have detected a neutrino fog, a dense cloud of neutrinos. This discovery is reported by researchers from XENON and PandaX — two scientific experiments that aim to detect dark matter, operating independently in Italy and China respectively.

“This is the first measurement of astrophysical neutrinos with a dark matter experiment,” Fei Gao, a scientist involved in the Xenon experiment, said.

Neutrinos are typically detected through coherent elastic neutrino-nucleus scattering (CEvNS), a process in which neutrinos interact with the entire nucleus rather than just a proton or electron.

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Hello and welcome! My name is Anton and in this video, we will talk about recent discoveries about quantum computers.
Links:
https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.22.034003
http://cjc.ict.ac.cn/online/onlinepaper/wc-202458160402.pdf.
https://arxiv.org/pdf/2307.03236
https://www.science.org/doi/10.1126/sciadv.adn8907
https://qiskit.github.io/qiskit-aer/stubs/qiskit_aer.QasmSimulator.html.
https://arxiv.org/abs/2302.00936
Previous videos:
https://youtu.be/Jl7RLrA69pg.

https://youtu.be/dPqNZ4aya8s.
#quantum #quantumcomputing #quantumcomputer.

Continue reading “Dude, Where’s My Quantum Computer? Is the Field Stuck in Limbo?” »

Researchers have unveiled a new photonic in-memory computing method that promises to advance optical computing significantly.

This technology, using magneto-optical materials, achieves high-speed, low-energy, and durable memory solutions suitable for integration with existing computing technologies.

Photonic In-Memory Computing

For error-resistant quantum computers, creating superpositions or entanglement between states is relatively easy. In contrast, adding magic to the state or dislocating them further from easy-to-simulate stabilizer states is expected to be highly challenging.

“In the literature of quantum information, you often encounter terms like ‘magic state distillation’ or ‘magic state cultivation,’ which refer to pretty arduous processes to create special quantum states with magic that the quantum computer can make use of,” said Niroula.

“Prior to this paper, we had written a paper that observed a similar phase transition in entanglement, in which we had observed phases where measurements of a quantum system preserved or destroyed entanglement depending on how frequent they are.”

A new all-optical switch uses circularly polarized light and an innovative semiconductor to process data faster and more efficiently in fiber-optic systems.

This technology facilitates significant energy savings and introduces a method to control quantum properties in materials, promising major advancements in optical computing and fundamental science.

Modern high-speed internet relies on light to transmit large amounts of data quickly and reliably through fiber-optic cables. However, when data needs to be processed, the light signals face a bottleneck. They must first be converted into electrical signals for processing before they can continue being transmitted.

Two systems exist in thermal equilibrium if no heat passes between them. Computers, which consume energy and give off heat as they process information, operate far from thermal equilibrium. Were they to stop consuming energy—say you let your laptop discharge completely—they would stop functioning.

Quantum computers hold the promise to emulate complex materials, helping researchers better understand the physical properties that arise from interacting atoms and electrons. This may one day lead to the discovery or design of better semiconductors, insulators, or superconductors that could be used to make ever faster, more powerful, and more energy-efficient electronics.

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