Accurate models of real-world scenarios are important for bringing theoretical and experimental research together in meaningful ways.
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Accurate models of real-world scenarios are important for bringing theoretical and experimental research together in meaningful ways.
New open-source software for quantum cryptography is greater than the sum of its parts
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Accurate models of real-world scenarios are important for bringing theoretical and experimental research together in meaningful ways.
New open-source software for quantum cryptography is greater than the sum of its parts
techxplore.com
To view or add a comment, sign in
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Accurate models of real-world scenarios are important for bringing theoretical and experimental research together in meaningful ways.
New open-source software for quantum cryptography is greater than the sum of its parts
techxplore.com
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A little bit about my career so far, how I ended up working in the field of quantum computing and life in Innsbruck:
In this new #WorkingInQuantum interview, we have a chat with Barry Mant! Barry has a long academic experience in the field of theoretical and computational chemistry, having worked as a Postdoc in Innsbruck and London. He became fascinated by quantum mechanics, especially applied to atoms and molecules, and decided to join ParityQC as a Quantum Use Case Developer. Read the interview below to learn more of his transition from academia to industry, his current work on optimization problems, and how he envisions the future impact of #quantumcomputing in the field of chemistry. Make sure to also check out our open roles if you'd like to be part of our team!
Working in Quantum. Insights and behind-the-scenes with ParityQC's Barry Mant - ParityQC
https://parityqc.com
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Joint work with Dhrumil Patel and Patrick Coles now published in Quantum - the open journal for quantum science: https://lnkd.in/g7vUGDjn Popular Summary: Many real-world problems in science and industry can be expressed as optimization problems, which involve finding the best solution while meeting specific constraints. Among these, a special class of optimization problems called semidefinite programming holds significance. They are widely used to model or approximate problems arising in various fields such as operations research, combinatorial optimization, control theory, and quantum information theory. For solving these programs, quantum algorithms have been proven to provide a quadratic speedup over classical algorithms. However, these quantum algorithms are not well-suited for current quantum devices, which are noisy and limited in their capabilities. In this work, we propose three quantum algorithms designed to run on these noisy devices. Our algorithms are hybrid quantum-classical algorithms that have a classical computer available for optimization, only calling a quantum computer for tasks that are not efficiently solvable by it. We rigorously analyze the performance of one of our algorithms, quantifying how rapidly it converges to the optimal value. Finally, to demonstrate their practicality, we numerically simulate our quantum algorithms for problems like MaxCut, a prominent graph theoretic problem. Our simulations showcase their effectiveness even in the presence of noise.
Variational Quantum Algorithms for Semidefinite Programming
https://quantum-journal.org
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JPMorgan Chase, Argonne And Quantinuum Show Theoretical Quantum Speedup With The Quantum Approximate Optimization Algorithm lnsider Brief .Researchers report they have demonstrated clear evidence of a quantum algorithmic speedup for the quantum approximate optimization algorithm. .According to the paper, the algorithm has been studied extensively and has been implemented on many quantum computers. .The researchers say the advance has potential application in fields such as logistics, telecommunications, financial modeling and materials science. https://lnkd.in/gC4m7sGS #Quantinuum #JPMorgan Chase #Optimization Algorithm #Argonne National Laboratory #Quantum approximate optimization algorithm(QAOA) https://lnkd.in/gSjunQVF
Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem
science.org
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𝐂𝐡𝐚𝐫𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐅𝐫𝐨𝐧𝐭𝐢𝐞𝐫: 𝐁𝐫𝐞𝐚𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐬 𝐚𝐧𝐝 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐢𝐧 𝐭𝐡𝐞 #𝐀𝐧𝐐𝐮𝐂 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 As we near the culmination of the AnQuC project this April, we met one last time with esteemed industry advisory board consisting of Dr. Joanna Procelewska (Schäffler), Dr. Benjamin Speitkamp (Deutsche Bahn), Dr. Peter Deglmann (BASF), and Dr. Normann Pankratz (Debeka). Funded by the state of Rhineland-Palatinate, Germany, the AnQuC project is about advancing application-oriented quantum computing and has been both gateway and foundation of our quantum computing journey since 2020. Our mission in AnQuC has led us to develop pioneering algorithms and methods across a spectrum of applications, including chemistry, financial mathematics, image processing, flow and material simulation, and much more. We have tackled numerous hurdles towards the application-readiness of quantum computing. In this meeting, we highlighted our advancement in the last phase of the project: for example our novel models in data encoding for image data and many-body fermionic systems significantly reduce qubit requirements and enhance circuit resilience to noise. Further, we examined the existing leap in quantum readiness. This is particularly evident in the promising scalability of feature selection on quantum hardware and in quantum chemistry that merges the quantum and classical worlds to simulate molecules of industrial significance. The spotlight also shone on our PhD students, Alexander Geng, Tom Ewen, and Thomas Man Hei Cheng, who presented their cutting-edge research. From quantum transfer learning and quantum architecture searches to innovative encoding and compression techniques, their work epitomizes the project's spirit of pushing boundaries. Our #QUIP initiative, aimed at attracting the next generation of quantum researchers to Rhineland-Palatinate, has already seen remarkable participation. With 35 PhD students and PostDocs engaged and 14 internships offered in 2023, our commitment to nurturing talent is unwavering. Matthias Kabel's insights into quantum hardware and benchmarking underscored the critical need for an up-to-date understanding of quantum technology's evolving landscape. His work ensures we stay at the forefront of this thrilling field. As we discussed AnQuC's lasting legacy, it was clear: our work has not only solidified our position in the quantum world but also set the stage for future explorations. The positive feedback from our industry advisory board members was a resounding affirmation of the progress we've achieved together. As we look to the future, our resolve remains firm: to not just keep pace with quantum research but to actively contribute to its advancement. Here's to continued collaboration and innovation in the quantum computing frontier. #QuantumComputing #AnQuCProject #Innovation #ResearchExcellence #QuantumLeap #Fraunhofer #FraunhoferITWM
Our »Applied Quantum Computing« (#AnQuC) project, which was funded by the Rhineland-Palatinate state government, will soon be coming to an end. In a final meeting with the industrial advisory board, our institute's #QuantumComputing working group summarized the project. 📈 The great results were emphasized – a small excerpt: - We have developed outstanding algorithms and methods that enable a wide range of applications, for example in chemistry, financial #mathematics, image processing and flow simulation. 💡🧪 - There have been advances in the coding of image data that make circuits less susceptible to noise. 🖼️ 💪 - The research work of doctoral students Thomas Cheng, Tom Ewen and Alexander Geng, who explored the limits of quantum computing in their dissertations, was also recognized. 🎓🔬 🌐 You can find out more about the summary and this project in our short news on the website https://lnkd.in/e9gS4wcC
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We are happy to have participated in the Plenary Meeting of QED-C, where we share more about the XPRIZE Quantum Applications Competition. 🟣The XPRIZE Quantum Applications is a 3-year global competition designed to generate #QuantumComputing (QC) algorithms that can be put into practice to help solve real-world challenges. 🟣QC is a multidisciplinary field at the intersection of computer science, physics, and mathematics that seeks to use the information processing power of quantum mechanics to solve otherwise difficult computational problems. 🟣Competing teams will develop new applications for quantum computers that can address complex, global challenges in climate, sustainability, health and beyond. Resources Plenary Agenda: https://lnkd.in/dd3DANzm XPRIZE Quantum Applications Competition: https://lnkd.in/eVs-hMgv #GESDA OQI – Open Quantum Institute Catherine Lefebvre, PhD
Quantum Applications XPRIZE
xprize.org
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In case you missed this article from last year about quantum computing: Quantum Computing Is the Future, and Schools Need to Catch Up Summary: Quantum computing, poised to revolutionize industries from AI to drug discovery, still needs to be included in many physics curricula. These advanced systems use "qubits" for computations, promising faster problem-solving than traditional computers. Despite its significance, education lags, with few students exposed to quantum mechanics. Efforts are increasing, with universities integrating practical quantum computing programs and K-12 curricula beginning to include quantum concepts, addressing the urgent need for skilled quantum workers. Commentary: Current K-12 and university curricula need more quantum computing (QC) education. While some advanced courses emphasize QC's impact, a broader foundational curriculum is required. This foundation would equip students with the necessary skills to navigate the disruptions QC is bringing to various industries, preparing them for future careers in this rapidly evolving field. https://lnkd.in/g5ejSY4z #quantumcomputing #quantumtechnology #education #edtech #cybersecurity
Quantum Computing Is the Future, and Schools Need to Catch Up
scientificamerican.com
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Qubits Ventures Fund | Quantum and Future of Computing Technologies | Catalaize (ecosystem leader connecting emerging tech expertise + industry + investors)
⚛️ Quantum Innovation 34 (Totally Random Free ♾️ and Totally Awesome 😎) Scientists develop a semi-device independent, randomness-free test for quantum correlation In a new Physical Review Letters study, scientists have successfully presented a proof of concept to demonstrate a randomness-free test for quantum correlations and non-projective measurements, offering a groundbreaking alternative to traditional quantum tests that rely on random inputs. "Quantum correlation" is a fundamental phenomenon in quantum mechanics and one that is central to quantum applications like communication, cryptography, computing, and information processing. Bell's inequality, or Bell's theory, named after physicist John Stewart Bell, is the standard test used to determine the nature of correlation. However, one of the challenges with using Bell's theorem is the requirement of seed randomness for selecting measurement settings. The new study, led by Dr. Jacquiline Romero from the University of Queensland and the Australian Research Council Center of Excellence for Engineered Quantum Systems, eliminates the need for this seed randomness by proposing an alternate test. 💡Innovation from University of Queensland, Australian Research Council Center of Excellence for Engineered Quantum Systems & Jacquiline Romero 🇵🇭 #quantum #quantumtech #quantumcomputing #quantumapplications, #quantumcommunications #quantumcryptography #quantuminfomation #quantumcorrelations #womenscientists #filipino #filipinoscientists 📰👇Click below to read on...
Scientists develop a semi-device independent, randomness-free test for quantum correlation
phys.org
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