Quantinuum’s Post

Defense alert! Dissertation Announcement: Samudra Dasgupta, Data Science Thursday April 11 2:30-4PM Title: Stability of Quantum Computers Abstract: Quantum computing’s potential is immense, promising super-polynomial reductions in execution time, energy use, and memory requirements compared to conventional computers. This technology has the power to revolutionize scientific applications such as simulating many-body quantum systems, factorization of large integers, enhance machine learning, and in the process, disrupt industries like telecommunications, material science, pharmaceuticals and artificial intelligence. However, quantum computing’s potential is curtailed by non-stationary noise. This dissertation focuses on the persistent issue of noise in quantum computing, particularly non-stationarity of parameters in superconducting processors. It establishes a framework comprising computational accuracy, device reliability, outcome stability, and result reproducibility for assessing the outcomes from noisy quantum computers. It develops bounds on performance and demonstrates that if the device noise stays within bounds, reproducibility can be ensured. Furthermore, it develops a Bayesian algorithm to enhance stability of outcomes obtained from probabilistic error cancellation in presence of time-varying noise.

Get ready to blow your mind, science nerds! Princeton University researchers just achieved a quantum leap (pun intended): entangling individual molecules for the first time ever! This isn't just cool party tricks for tiny particles, it's a game-changer. Entanglement lets them share info instantly, no matter the distance. Think teleportation for data! This breakthrough paves the way for unbreakable encryption, super-powered quantum computers, and even revolutionizing materials science. This is a significant breakthrough in the field of quantum mechanics with potential implications for quantum computing and other technologies. Here are some key facts about the achievement: What is entanglement? It's a phenomenon in quantum mechanics where two particles become linked in a special way, sharing the same fate regardless of distance. If you measure the state of one entangled particle, it instantly determines the state of the other, no matter how far apart they are. Why is entangling molecules significant? Entangled molecules could serve as the building blocks for future quantum computers, which would be vastly more powerful than classical computers for certain tasks. They could also be used to develop new types of sensors and materials. Technical details: The Princeton team used a complex system of laser beams to trap and control individual molecules. They then carefully manipulated the molecules' quantum states to create entanglement between them. 🔬 Impact and future research: This achievement is a major step forward in quantum research, but there are still many challenges to overcome before entangled molecules can be used in practical applications. Researchers are now working on improving the efficiency and scalability of the technique. Overall, the successful entanglement of individual molecules is a remarkable feat that opens up exciting possibilities for the future of quantum technology. Original research paper: https://lnkd.in/dE_f7gxn The future's looking wilder than ever, and quantum mechanics is leading the charge.  #QuantumRevolution #entanglement #futureofeverything #innovate

https://lnkd.in/gKjFybAm The scientific talk about Quantum computers gives me a headache, but this does look promising for materials science. Imagine a powerful computer that can break through science's toughest puzzles, ones that even the strongest machines today can't handle. That's the promise of quantum computers, and scientists are finding new ways to use them to understand the world around us. One area where they're making huge strides is with polymers, the long, chain-like molecules that make up everything from plastic to DNA. Until now, figuring out how these complicated molecules behave has been like solving a giant maze in the dark. Traditional computers just can't see all the twists and turns. But scientists have found a way to use quantum computers to shine a light on these hidden pathways. This lets them predict how polymers will act in different situations, which could lead to amazing discoveries in biology, medicine, and materials science. Think of it as a superpower for understanding the building blocks of life and matter! So buckle up, because the future of science is about to get even crazier, thanks to the quantum leap in polymer simulations.

Quantum computers can perform certain tasks more efficiently than classical computers, which is crucial for solving complex problems in life sciences. These challenges include understanding the relationships among sequences, structures, and functions of biopolymers, as well as their interactions with small organic molecules, which are key to genomic analysis, drug design, and protein folding predictions. For instance, in drug design, the vast number of possible molecules and configurations exceeds the capabilities of classical computers. Quantum computers, however, can handle this complexity. As Richard Feynman suggested, simulating nature may require quantum mechanics. There is now a race across industries to develop quantum applications. Within five years, quantum computing could become widely used, enabling breakthroughs in life sciences such as precision medicine therapies, more efficient drug discovery, and novel biological products based on protein folding predictions, lets find out more in this article. #lifesciences #quantumcomputing

Visit our blog: "Enhancing the computing of quantum simulations for chemistry and materials science" More details:https://lnkd.in/ghDDk6AT #quantumchemistry #materialsscience #computingmaterials #quantumconputing

Harvard Unveils Innovative Approach to High-Temperature Superconductors. Harvard researchers, led by Philip Kim, have advanced superconductor technology by creating a high-temperature superconducting diode using cuprates. This development is crucial for quantum computing and represents a significant step in manipulating and understanding exotic materials and quantum states - https://lnkd.in/d3dDdjKX #superconductors

Machine learning advances chemistry and materials science by enabling large-scale exploration of chemical space based on quantum chemical calculations. While these models supply fast and accurate predictions of atomistic chemical properties, they do not explicitly capture the electronic degrees of freedom of a molecule, which limits their applicability for reactive chemistry and chemical analysis. Here we are presenting a deep learning framework for the prediction of the quantum mechanical wavefunction in a local basis of atomic orbitals from which all other ground-state properties can be derived. This approach retains full access to the electronic structure via the wavefunction at force-field-like efficiency and it captures quantum mechanics in an analytically differentiable representation Now,Researchers are thinking of Quantum Chemistry. Computational Chemistry will be replaced by Quantum Chemistry via Silicon Based Computing

The Elusive Quantum Coherence is claimed at room temperature by Japanese Researchers for 100+ns. EE Times Europe reported research from Kyushu University’s Department of Applied Chemistry about attainment of room temperature quantum coherence Nobuhiro Yanai, associate professor at Kyushu University states that the quantum coherence mechanism was achieved in UiO-type MOFs through the dense accumulation of pentacene chromophores, a technique that suppresses molecular motion at room temperature. To bring clarity, the research team was able to exert great control on the molecular motion of Pentacene within the MOF (Metal Organic Framework). The MOF structure not just restricts the movements but also allows the gathering of the chromophores in large groups. This resulted in blocking the background noise and helped to maintain better quantum coherence. End Result ??? Quantum coherence was observed for more than 100 nanoseconds (ns) at room temperature, a feat that was thought impossible I know, system folks will say 100ns. . . What will we do with this . . . And, yes I also agree, this requires more work. But this research shows some real promise as the room temperature coherence will indeed result in some drastic applications for Quantum computing that wasn't feasible before. The researchers are more excited about the impact this research can have on Quantum Sensors Research team are confident that they can realise Quantum Sensors, in future, which will have unparalleled sensitivity to detect various bio-related and environmental substances. And all these at room temperature is even more interesting. Thanks a lot to Maurizio Di Paolo Emilio's articles at EE Times Europe. More details in the link below, https://lnkd.in/dRUkgg2m

While conventional computing generally uses bits (zeroes and ones), quantum computers use qubits, which can exist as zeroes, ones, or combinations of both at once. This is where things can get a bit strange, where particles can exist in multiple states simultaneously (this is called superposition), and also be intertwined (or entangled) with each other #quantumphysics #science