Lifeboat Foundation

Various reports say the claim is far from true.

Russian scientists are claiming that they have created the most powerful quantum computer in the history of their nation. They even presented the computer to Russian President Vladimir Putin, who visited the exhibition of quantum technology achievements by Rosatom, the State Nuclear Energy Corporation.

But as per a report, the claim is far from true and the computer won’t be breaking modern encryption codes anytime soon.

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We have implemented a nonlinear quadrature measurement of \(\hat{p}+\gamma {\hat{x}}^{2}\) using the nonlinear electro-optical feedforward and non-Gaussian ancillary states. The nonlinear feedforward makes the tailored measurement classically nonlinear, while the ancillary state pushes the measurement into highly non-classical regime and determines the excess noise of the measurement. By using a non-Gaussian ancilla we have observed 10% reduction of the added noise relative to the use of vacuum ancillary state, which is consistent with the amount of nonlinear squeezing in the ancilla. Higher reduction of the noise can be realized in the near future by a better approximation of the CPS using a superposition of higher photon number states^38,42. We can now create broadband squeezed state of light beyond 1 THz^8,9 and can make a broadband amplitude measurement on it with 5G technology beyond 40 GHz¹⁰, as well as a broadband photon-number measurement beyond 10 GHz¹¹. Furthermore, the nonlinear feedforward presented here can be compatible with these technologies if an application specific integrated circuit (ASIC) is developed based on the FPGA board presented here. By using such technologies we can efficiently create non-Gaussian ancillary states with large nonlinear squeezing by heralding schemes^36,43 even when the success rate is very low. It is because we can repeat heralding beyond 10 GHz and can compensate for the very low success rate.

When supplied with such high-quality ancillary state, this nonlinear measurement can be directly used in the implementation of the deterministic non-Gaussian operations required in the universal quantum computation. Our experiment is a key milestone for this development as it versatilely encompasses all the necessary elements for universal manipulation of the cluster states. Furthermore, this method is extendable to multiple ancillary states case in implementation of the higher-order quantum non-Gaussianity⁴⁴ and multi-mode quantum non-Gaussianity⁴⁵.

Our experiment demonstrates an active, flexible, and fast nonlinear feedforward technique applicable to traveling quantum states localized in time. If the nonlinear feedforward system is combined with the cluster states^13,14 and GKP states¹⁹, all operations required for large-scale fault-tolerant universal quantum computation can be implemented in the same manner. As such, we have demonstrated a key technology needed for optical quantum computing, bringing it closer to reality.

Here, the authors report the realization of WSe2 Schottky junction field-effect transistors with asymmetric multi-layer graphene and WTe2 van der Waals contacts, enabling reconfigurable polarity, low off-state currents, near-ideal rectifying behaviour and bipolar photovoltaic response.

The digital devices that we rely on so heavily in our day-to-day and professional lives today—smartphones, tablets, laptops, fitness trackers, etc.—use traditional computational technology. Traditional computers rely on a series of mathematical equations that use electrical impulses to encode information in a binary system of 1s and 0s. This information is transmitted through quantitative measurements called “bits.”

Unlike traditional computing, quantum computing relies on the principles of quantum theory, which address principles of matter and energy on an atomic and subatomic scale. With quantum computing, equations are no longer limited to 1s and 0s, but instead can transmit information in which particles exist in both states, the 1 and the 0, at the same time.

Quantum computing measures electrons or photons. These subatomic particles are known as quantum bits, or ” qubits.” The more qubits are used in a computational exercise, the more exponentially powerful the scope of the computation can be. Quantum computing has the potential to solve equations in a matter of minutes that would take traditional computers tens of thousands of years to work out.

The energy generation site will be connected to the grid and power Google’s data centers in Nevada.

Houston-based US startup Fervo Energy has claimed that it has achieved “commercial scale” geothermal energy production from its Project Red demonstration site in northern Nevada. The site recently completed a 30-day well test, a standard for geothermal energy installations, a company press release said.

Geothermal energy is one of the sources of renewable power being explored as the world moves away from fossil fuels. Unlike wind and solar power plants, geothermal energy can be sourced around the clock and on demand to cater to increased energy needs.

This interface can bridge the gap between theory and experiment by allowing researchers to conduct real-time quantum-in-the-loop experiments.

Power grid equipment can now be interfaced with quantum computers! Power grids.

But, quantum computers offer hope as they can handle a large number of computations in a short amount of time. Quantum computing research is happening at light speed, and there is a potential for their use to optimize power grids.

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While gate model quantum computing holds immense promise for tomorrow, quantum annealing systems are solving complex optimization problems for enterprises today.

Experts from CERN, DESY, IBM Quantum and others have published a white paper identifying activities in particle physics that could benefit from the application of quantum-computing technologies.

Last week, researchers published an important white paper identifying activities in particle physics where burgeoning quantum-computing technologies could be applied. The paper, authored by experts from CERN, DESY, IBM Quantum and over 30 other organizations, is now available as a preprint on arXiv.

With quantum-computing technologies rapidly improving, the paper sets out where they could be applied within particle physics in order to help tackle computing challenges related not only to the Large Hadron Collider’s ambitious upgrade program, but also to other colliders and low-energy experiments worldwide.

Large language models like GPT-4 have taken the world by storm thanks to their astonishing command of natural language. Yet the most significant long-term opportunity for LLMs will entail an entirely different type of language: the language of biology.

One striking theme has emerged from the long march of research progress across biochemistry, molecular biology and genetics over the past century: it turns out that biology is a decipherable, programmable, in some ways even digital system.

DNA encodes the complete genetic instructions for every living organism on earth using just four variables—A (adenine), C (cytosine), G (guanine) and T (thymine). Compare this to modern computing systems, which use two variables—0 and 1—to encode all the world’s digital electronic information. One system is binary and the other is quaternary, but the two have a surprising amount of conceptual overlap; both systems can properly be thought of as digital.