Mitsubishi Chemical Europe’s Post

Quantum computing is rapidly advancing as a tool for researchers and scientists working on molecular and material simulations. Quantinuum’s quantum chemistry team has worked alongside major organizations such as BMW Group, Airbus, Honeywell and Equinor to design hybrid quantum-classical workflows to explore the use of quantum computers to solve industrially relevant problems that are intractable to classical computing alone. We invite you to join this webinar where scientists from Airbus, Honeywell Performance Materials & Technologies, and Quantinuum will describe some of this work in detail and you can gain insight into the current state-of-the-art of this fast-approaching transformative technology. Register for the webinar here: https://lnkd.in/gxCsgxd9

Come join us for this free virtual webinar on quantum computational chemistry! It’s open to everyone and will host a panel of Quantinuum’s industry partner scientists who will share some of their latest achievements leveraging quantum computing. #chemistry #quantumcomputing #automotive

I'm happy to share that our new article Hybrid Quantum Technologies for Quantum Support Vector Machines has been just published. A big thanks to all the authors Simone Gasperini, Stefano Lodi and Claudio Sartori. 🔍 In this latest paper we explore the integration of different quantum computing techniques to solve machine learning problems. Offering an overview of Quantum Support Vector Machines (QSVMs), this research analyzes limitations in both annealing and gate-based techniques. The paper proposes a hybrid methodology that combines both techniques, offering a concrete solution that mitigates drawbacks while retaining key advantages. Detailed presentations and experimental results validate the efficacy of this novel approach. These results pave the way for a more integrated paradigm in quantum machine learning and quantum computing at large, transcending traditional compartmentalization. The full paper is available at: https://lnkd.in/dfbb4G57 #QuantumComputing #MachineLearning #QML #Annealing #GateBased #QSVMs

We come across various technological terms every day, which sums up the pace at which technologies are being developed and used. Quantum Computing is a term most of you are familiar with. Do you have any idea what it entails? A field that’s influenced by several disciplines such as Physics, Mathematics, and Computer Science, Quantum Computing solves complicated problems using Quantum Mechanics with speeds faster than classical computers. How? By seeking the help of quantum mechanical effects like superposition and quantum interference. Relecura’s Enterprise Web Tool has successfully generated a Technology Landscape Report highlighting the publication summary, technology trends, key technologies, key patent holders, and key acquisitions, among other critical details surrounding the technology! Take a peek! #technologies #quantumcomputing #complexproblems #quantummechanics #fastspeed #classicialcomputers #enterprisewebtool #technologylandscapereport #relecura Ginish George, PhD Alex Paikada Prajakta Bangale Neha Reddy Mamata Saha

Paper: https://lnkd.in/gfm2zF57 Quantum computing at the frontiers of biological sciences (Emani et al.) Abstract: Computing plays a critical role in the biological sciences but faces increasing challenges of scale and complexity. Quantum computing, a computational paradigm exploiting the unique properties of quantum mechanical analogs of classical bits, seeks to address many of these challenges. We discuss the potential for quantum computing to aid in the merging of insights across different areas of biological sciences.

Is the genie 🧞♂️ already out of the bottle, or do we still have time to make #quantumtech #responsible? I really recommend Urs Gasser, Eline de Jong and Mauritz Kop perspective: A call for responsible quantum technology, link below: https://lnkd.in/gGZ78qsx 🛑 To the authors and every curious mind out there: - You talk about #sustainability as a desirable #socialoutcome of quantum tech applications. There is one important consequence of quantum that I believe should be added to your framework. There are indications that quantum computers will not only be computationally superior for some tasks but also more energy efficient. Taking into account the fact that compute becomes a new currency and we see the effects of #climatechange; where would you view energy-efficient quantum computations in your framework? Is it on a safeguarding, engaging, or advancing level? Or maybe it is a parallel dimension? The piece I'm referring to is a remarkably balanced one. It underscores the paradoxical nature of the impact of quantum technology, pushing the boundaries of R&D in ways we're yet to comprehend while not directly affecting everyone's work as computers did. At Global Quantum Intelligence, LLC, we stress that quantum is not a universal solution. Nevertheless, it is a technology based on a century of quantum research and will solve currently unattainable problems. You can check Quantum Computing Report, Doug Finke perspective on that: No! Quantum Computing will not change everything, link below: https://lnkd.in/grfiuH8J

"Today we are introducing "𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: 𝐀 𝐬𝐮𝐫𝐯𝐞𝐲 𝐨𝐟 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐜𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐢𝐞𝐬". This is a comprehensive resource, designed for quantum computing researchers and customers who are looking to explore how quantum algorithms will apply to their use cases. The survey provides a detailed technical analysis of the end-to-end quantum resource requirements (the “complexities”) of the most widely studied quantum computing application areas, like #chemistry, #finance, and #machinelearning. The primary focus of the survey is quantum algorithms with the greatest potential to generate customer value in the long term, once fault-tolerant quantum computers are available – however, it also comments on the most relevant near-term noisy intermediate-scale quantum (NISQ) algorithms, where appropriate." Paper: https://lnkd.in/gS_C3MPn Blog post: https://lnkd.in/gM8UBuJS #quantumcomputing #technology #AWSCloud Alexander Dalzell, Sam McArdle, Mario Berta, Przemyslaw (Paul) Bienias, PhD, Chi-Fang Chen, Andras Gilyen, Connor Hann, Michael Kastoryano, Emil Khabiboulline, Aleksander Kubica, Grant Salton, Samson Wang, and Fernando Brandao Caltech, RWTH Aachen University, Imperial College London, Alfred Renyi Institute of Mathematics, IT-Universitetet i København, Harvard University

One of the most promising applications of quantum computing is the advancement of #materials science. Simply put, the discovery of better, stronger, more efficient materials can revolutionize our world – and #quantum research could help us get there. With this in mind, our own Battelle, PhD and Douglas Jennewein collaborated with IBM and dozens of researchers in a paper titled "Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.” This paper, published in Future Generation Computer Systems, looks at how combining #quantum and traditional supercomputers can solve tough problems in materials science. Key concepts explored in the paper include: ➡Quantum algorithms, or basic programs that help quantum and traditional computers work together ➡Classical processing, which involves using traditional computing to support and improve quantum tasks ➡Hybrid workflows, or managing tasks that use both quantum and traditional computing ➡Materials science use cases, which are real-world examples in materials science that can benefit from quantum computing By working together, researchers are hopeful to find new solutions in materials science through the combined power of quantum and traditional supercomputing – an exciting prospect for the future. Read the full paper at https://lnkd.in/gPFGzFGB. #quantumcomputing ASU Knowledge Enterprise

Yu Tanaka of the Advanced Research Laboratory of Sony Group Corporation gave two poster presentations on joint research projects in the area of quantum information theory at the international conference on Quantum Information Processing (QIP 2024) held in Taipei. https://lnkd.in/gExN_Y3U ■Achievements of the joint research project with the Murao Group of the University of Tokyo) We have proved that a directed acyclic graph called a Free Binary Decision Diagram (FBDD) represents a new quantum state and demonstrated how to configure a quantum circuit that prepares that quantum state. ■Achievements of the joint research project with the Fujii Lab of Osaka University) We have developed a quantum Koopman-von-Neumann linearization method and identified classes of non-linear equations that can be simulated efficiently. Paper: Quantum Solvable Nonlinear Differential Equations https://lnkd.in/gb-e4VEe We look forward to receiving feedback on each of these presentations from experts. #QuantumStatePreparation #FreeBinaryDecisionDiagram #QuantumNonlinearOrdinaryDifferentialEquationSolver #KoopmanLinearization

Quantum computers and classical computers may both aim to solve problems, but their approach to data manipulation is fundamentally distinct. Understanding two key principles of quantum mechanics, superposition and entanglement, sheds light on what makes quantum computers unique. Superposition allows a quantum object, like an electron, to exist in multiple simultaneous "states." This concept underpins the basic unit of information in quantum computing, the qubit, which is markedly different from classical bits due to its ability to be in superpositions with varying probabilities during computations. Entanglement, another crucial principle, describes a phenomenon where quantum entities lose individual identities and become interconnected. This concept, famously referred to as "spooky" by Einstein, showcases how measurements on entangled pairs influence each other instantaneously, seemingly defying the limits of classical communication. Contrary to popular belief, quantum computers do not explore all possible answers simultaneously. Instead, they leverage entanglement and probabilities associated with superpositions to enhance correct answers and diminish incorrect ones. By maximizing the probability of measuring the right answer at the end of a computation, quantum computers showcase their distinct advantage over classical systems. The interplay of superposition, entanglement, and probability is at the core of quantum computing, presenting a revolutionary approach that sets it apart from classical computing paradigms. #snsinstitutions #designthinking #snsdesignthinkers