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Categories: Computer Science: Quantum Computers, Engineering: Robotics Research

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Researchers have developed a haptic device capable of reproducing the softness of various materials, from a marshmallow to a beating heart, overcoming a deceptively complex challenge that has previously eluded roboticists.

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In the quest to develop quantum computers and networks, there are many components that are fundamentally different than those used today. Like a modern computer, each of these components has different constraints. However, it is currently unclear what materials can be used to construct those components for the transmission and storage of quantum information.

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A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.

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Physicists are developing a method that could enable the stable exchange of information in quantum computers. In the leading role: photons that make quantum bits 'fly'.

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Researchers achieved the acceleration of adiabatic evolution of a single spin qubit in gate-defined quantum dots. After the pulse optimization to suppress quasistatic noises, the spin flip fidelity can be as high as 97.5% in GaAs quantum dots. This work may be useful to achieve fast and high-fidelity quantum computing.

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Each year, approximately 2,000 people die annually of gallbladder cancer (GBC) in the U.S., with only one in five cases diagnosed at an early stage. With GBC rated as the first biliary tract cancer and the 17th most deadly cancer worldwide, pressing attention for proper management of disease must be addressed. For patients diagnosed, surgery is the most promising curative treatment. While there has been increasing adoption of minimally invasive surgical techniques in gastrointestinal malignancies, including utilization of laparoscopic and robotic surgery, there are reservations in utilizing minimally invasive surgery for gallbladder cancer. A new study has found that robotic-assisted surgery for GBC is as effective as traditional open and laparoscopic methods, with added benefits in precision and quicker post-operative recovery.

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Robots and cameras of the future could be made of liquid crystals, thanks to a new discovery that significantly expands the potential of the chemicals already common in computer displays and digital watches. The findings are a simple and inexpensive way to manipulate the molecular properties of liquid crystals with light exposure.

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Scientists have developed a new robot that can 'mimic' the two-handed movements of care-workers as they dress an individual.

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Quantum sensor technology promises even more precise measurements of physical quantities. A team has now compared the signals of up to 91 quantum sensors with each other and thus successfully eliminated the noise caused by interactions with the environment. Correlation spectroscopy can be used to increase the precision of sensor networks.

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In a recent study, 151 human participants were pitted against ChatGPT-4 in three tests designed to measure divergent thinking, which is considered to be an indicator of creative thought.

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Scientists have pioneered a new methodology of fabricating carbon-based quantum materials at the atomic scale by integrating scanning probe microscopy techniques and deep neural networks. This breakthrough highlights the potential of implementing artificial intelligence at the sub-angstrom scale for enhanced control over atomic manufacturing, benefiting both fundamental research and future applications.

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The question of where the boundary between classical and quantum physics lies is one of the longest-standing pursuits of modern scientific research and in new research, scientists demonstrate a novel platform that could help us find an answer.

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As silicon-based computer chips approach their physical limitations in the quest for faster and smaller designs, the search for alternative materials that remain functional at atomic scales is one of science's biggest challenges. In a groundbreaking development, researchers have engineered a protective film that shields quantum semiconductor layers just one atom thick from environmental influences without compromising their revolutionary quantum properties. This puts the application of these delicate atomic layers in ultrathin electronic components within realistic reach.

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Researchers show how biohybrid robots based on jellyfish could be used to gather climate science data from deep in the Earth's oceans.

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Researchers applied deep-learning approaches from vehicle routing to streamline planning trajectories for robots in an e-commerce warehouse. Their method breaks the problem down into smaller chunks and then predicts the best chunks to solve with traditional algorithms.

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Engineers have unveiled an encodable multifunctional material that can dynamically tune its shape and mechanical properties in real time.

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Niobium has long been considered an underperformer in superconducting qubits. Scientists have now engineered a high-quality niobium-based qubit, taking advantage of niobium's superior qualities.

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Scientists are closer to unravelling the mysterious forces of the universe after working out how to measure gravity on a microscopic level. Experts have never fully understood how the force works in the tiny quantum world -- but now physicists have successfully detected a weak gravitational pull on a tiny particle using a new technique.

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Scientists have used a new method to determine the characteristics of optical, i.e. light-based, quantum states. For the first time, they are using certain photon detectors -- devices that can detect individual light particles -- for so-called homodyne detection. The ability to characterize optical quantum states makes the method an essential tool for quantum information processing.

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Scientists introduce what they call 'simultaneous and heterogeneous multithreading' or SHMT. This system doubles computer processing speeds with existing hardware by simultaneously using graphics processing units (GPUs), hardware accelerators for artificial intelligence (AI) and machine learning (ML), or digital signal processing units to process information.