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Categories: Computer Science: Encryption, Computer Science: Quantum Computers

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Single-photon emitters quantum mechanically connect quantum bits (or qubits) between nodes in quantum networks. They are typically made by embedding rare-earth elements in optical fibers at extremely low temperatures. Now, researchers have developed an ytterbium-doped optical fiber at room temperature. By avoiding the need for expensive cooling solutions, the proposed method offers a cost-effective platform for photonic quantum applications.

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Quantum physicists show that imperfect timekeeping places a fundamental limit to quantum computers and their applications. The team claims that even tiny timing errors add up to place a significant impact on any large-scale algorithm, posing another problem that must eventually be solved if quantum computers are to fulfill the lofty aspirations that society has for them.

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SecureLoop is a new search engine that can identify an optimal design for a deep neural network accelerator that preserves data security while improving energy efficiency and boosting performance. This could enable device manufacturers to increase the speed of demanding AI applications, while ensuring sensitive data remain safe from attackers.

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Quantum physicists have shown that it's possible to control and manipulate spin waves on a chip using superconductors for the first time. These tiny waves in magnets may offer an alternative to electronics in the future, interesting for energy-efficient information technology or connecting pieces in a quantum computer, for example. The breakthrough primarily gives physicists new insight into the interaction between magnets and superconductors.

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Researchers report a significant advance in quantum computing. They have prolonged the coherence time of their single-electron qubit to an impressive 0.1 milliseconds, nearly a thousand-fold improvement.

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Experimental physicists have demonstrated a new quantum effect aptly named the 'spinaron.' In a meticulously controlled environment and using an advanced set of instruments, they managed to prove the unusual state a cobalt atom assumes on a copper surface. This revelation challenges the long-held Kondo effect -- a theoretical concept developed in the 1960s, and which has been considered the standard model for the interaction of magnetic materials with metals since the 1980s.

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Researchers have developed a system that uses atomic vacancies in silicon carbide to measure the stability and quality of acoustic resonators. What's more, these vacancies could also be used for acoustically-controlled quantum information processing, providing a new way to manipulate quantum states embedded in this commonly-used material. 

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A new electrical method to conveniently change the direction of electron flow in some quantum materials could have implications for the development of next-generation electronic devices and quantum computers. A team of researchers has developed and demonstrated the method in materials that exhibit the quantum anomalous Hall (QAH) effect -- a phenomenon in which the flow of electrons along the edge of a material does not lose energy.

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Quantum computers promise to reach speeds and efficiencies impossible for even the fastest supercomputers of today. Yet the technology hasn't seen much scale-up and commercialization largely due to its inability to self-correct. Quantum computers, unlike classical ones, cannot correct errors by copying encoded data over and over. Scientists had to find another way. Now, a new paper illustrates a quantum computing platform's potential to solve the longstanding problem known as quantum error correction.

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A research team has succeeded in developing a cutting-edge display using transfer-printing techniques, propelling the field of multifunctional displays into new realms of possibility.

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Scientists have developed a technique called 'Time-dependent Stochastic Parameter Shift' in the realm of quantum computing and quantum machine learning. This breakthrough method revolutionizes the estimation of gradients or derivatives of functions, a crucial step in many computational tasks.

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Researchers have demonstrated a type of quantum eraser. The physicists show that they can pinpoint and correct for mistakes in quantum computing systems known as 'erasure' errors. 

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Researchers have developed a 'quantum ruler' to measure and explore the strange properties of multilayered sheets of graphene, a form of carbon. The work may also lead to a new, miniaturized standard for electrical resistance that could calibrate electronic devices directly on the factory floor, eliminating the need to send them to an off-site standards laboratory.   

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Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths.

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Scientists have reviewed the superconducting diode effect, a quantum effect enabling dissipationless supercurrent to flow in only one direction. The SDE provides new functionalities for superconducting circuits and future ultra-low energy superconducting/hybrid devices, with potential for quantum technologies in both classical and quantum computing.

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Scientists unveil exciting possibilities for the development of highly efficient quantum devices.

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Researchers have developed a novel superconducting qubit architecture that can perform operations between qubits with much higher accuracy than scientists have yet been able to achieve. This architecture, which utilizes a relatively new type of superconducting qubit called fluxonium, is scalable and could be used to someday build a large-scale quantum computer.

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Researchers have demonstrated that a key ingredient for many quantum computation and communication schemes can be performed with an efficiency that exceeds the commonly assumed upper theoretical limit -- thereby opening up new perspectives for a wide range of photonic quantum technologies.

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Using laser light, researchers have developed the most robust method currently known to control individual qubits made of the chemical element barium. The ability to reliably control a qubit is an important achievement for realizing future functional quantum computers.

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Researchers have used machine learning to perform error correction for quantum computers -- a crucial step for making these devices practical -- using an autonomous correction system that despite being approximate, can efficiently determine how best to make the necessary corrections.