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A collaborative study led by Algorithmiq and IBM Quantum researchers has demonstrated that current quantum computers, utilizing up to 91 qubits, can effectively simulate many-body quantum chaos—a complex phenomenon involving unpredictable behaviors in systems with numerous interacting particles. The team employed dual-unitary circuits to model this chaotic behavior and applied tensor-network error mitigation techniques to address computational noise, thereby enhancing result accuracy. These findings suggest that even in their developmental stages, quantum computers hold significant potential for tackling intricate problems in fields such as weather forecasting, fluid dynamics, and materials science. For more details, please continue reading the full article under the following link: https://lnkd.in/etsyGhPc -------------------------------------------------------- Please consult also the Quantum Server Marketplace platform for the outsourcing of computational science R&D projects to external expert consultants through remote collaborations: https://lnkd.in/eRmYbj4x #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

A collaborative study led by Algorithmiq and IBM Quantum researchers has demonstrated that current quantum computers, utilizing up to 91 qubits, can effectively simulate many-body quantum chaos—a complex phenomenon involving unpredictable behaviors in systems with numerous interacting particles. The team employed dual-unitary circuits to model this chaotic behavior and applied tensor-network error mitigation techniques to address computational noise, thereby enhancing result accuracy. These findings suggest that even in their developmental stages, quantum computers hold significant potential for tackling intricate problems in fields such as weather forecasting, fluid dynamics, and materials science. For more details, please continue reading the full article under the following link: https://lnkd.in/e6YPm5hW -------------------------------------------------------- Please consult also the Quantum Server Marketplace platform for the outsourcing of computational science R&D projects to external expert consultants through remote collaborations: https://lnkd.in/eCb9Tanv #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

Is a hybrid integration of quantum and classical computing the next logical evolutionary step for computing? Article Title: IBM’s Big Bet on the Quantum-Centric Supercomputer Summary: Although this article is highly technical, it offers one of the best comprehensive reviews of quantum computing I've read in a long time. I've summarized the information below to make it more digestible. 𝑻𝒓𝒂𝒅𝒊𝒕𝒊𝒐𝒏𝒂𝒍 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓𝒔 𝒗𝒔. 𝑭𝒖𝒕𝒖𝒓𝒆 𝑸𝒖𝒂𝒏𝒕𝒖𝒎 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓𝒔 Today's supercomputers are powerful but need help solving complex optimization problems, significantly speeding up machine learning algorithms such as searching and pattern recognition within large datasets, and designing new drugs or efficient materials. Quantum computers represent a fundamentally different approach. They leverage the unique behavior of quantum particles, like electrons and photons, to tackle problems that traditional computers currently cannot solve. Although still experimental, according to this article, quantum computers have recently reached a point where they can outperform conventional computers in specific tasks. 𝑯𝒐𝒘 𝑻𝒉𝒆𝒚 𝑾𝒐𝒓𝒌 Quantum computers use qubits instead of traditional binary bits. Qubits can represent 0, 1, or a superposition of both states simultaneously until measured. This fundamental property of quantum mechanics sets quantum computing apart from classical computing. Many people find the concept of superposition challenging to grasp, so if you do, you're not alone. For now, think of a superposition as a state where a qubit is both 0 and 1 simultaneously until it's measured. While this simplification could be more technically precise, it should help you better understand the concept for now. However, quantum computers are susceptible to errors, so researchers are developing error correction and mitigation techniques to enable more significant, powerful machines. 𝑩𝒖𝒊𝒍𝒅𝒊𝒏𝒈 𝒂 𝑸𝒖𝒂𝒏𝒕𝒖𝒎-𝑪𝒆𝒏𝒕𝒓𝒊𝒄 𝑺𝒖𝒑𝒆𝒓𝒄𝒐𝒎𝒑𝒖𝒕𝒆𝒓 The article asserts that the future supercomputer will combine the strengths of quantum and traditional computers. It will feature multiple quantum processors working together, with powerful classical computers managing these processors and correcting errors. Developers will create advanced software to break down significant problems into smaller ones that individual quantum processors can solve. 𝑻𝒉𝒆 𝑭𝒖𝒕𝒖𝒓𝒆 𝒐𝒇 𝑸𝒖𝒂𝒏𝒕𝒖𝒎 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓𝒔 Per the article, quantum computers are expected to revolutionize many fields but will complement, not replace, traditional computers. Together, they will tackle problems beyond the reach of either alone within the next decade. https://lnkd.in/gf3raDJH #QuantumComputing #TechInnovation #FutureOfComputing #QuantumTechnology #AdvancedComputing United States Cybersecurity Institute

A recent study led by IBM #Quantum used a quantum computer with up to 91 qubits to simulate many-body quantum chaos, an interaction-heavy process difficult for traditional #computers to model. The research leveraged dual-unitary circuits to simulate chaotic behavior and employed tensor-network error #mitigation to manage noise, enhancing the reliability of results. The findings suggest current quantum technology, though still developing, can address complex problems, with potential applications in weather prediction, fluid #dynamics and material science. https://lnkd.in/eJRgtqiN

Quantum Computing: Leading the Charge in Technological Innovation Quantum computing is no longer just a theoretical concept—it’s rapidly becoming a reality with groundbreaking advancements and practical applications. Here’s a snapshot of where we stand today: Current Progress in Innovation • IBM’s Heron Processor: IBM is shifting towards modular quantum computers with their Heron processor, which connects multiple high-quality qubits, paving the way for scalable quantum systems. • Google’s Sycamore Processor: Google has demonstrated that their Sycamore processor can outperform classical supercomputers in specific tasks, marking a significant milestone in achieving quantum advantage. Hardware Advancements • The development of more powerful quantum processors is crucial. These advancements are enabling more complex computations and bringing us closer to practical quantum applications. Practical Benefits • Drug Discovery: Quantum computers can simulate molecular structures and interactions at an unprecedented level, accelerating the development of new pharmaceuticals. • Cryptography: Quantum algorithms have the potential to break current encryption methods, prompting the development of quantum-resistant cryptographic techniques. • Optimization: From logistics to financial modeling, quantum computing can solve complex optimization problems more efficiently than classical computers. Integration with AI • Combining AI and quantum computing can lead to even more powerful solutions. AI can enhance quantum simulations in physics, chemistry, and materials science, unlocking new possibilities. Ongoing Research • MIT’s Quantum Simulator: Researchers are using quantum simulators to uncover new materials for high-performance electronics. • Google’s Quantum Advantage: Recent studies show that Google’s quantum processors can perform tasks that classical computers cannot, even under noisy conditions. Latest Updates • AI and Quantum Computing: AI is being integrated with quantum computing to enhance simulations in physics, chemistry, and materials science. • Industry Collaborations: Companies like IonQ and Ansys are bringing quantum computing to industries like computer-aided engineering, showcasing its practical applications. Quantum computing is set to revolutionize various fields, from healthcare to cybersecurity. The future is bright, and the possibilities are endless. What excites you most about quantum computing? Share your thoughts below! #QuantumComputing #Innovation #Technology #Research #FutureTech

A groundbreaking quantum algorithm developed by Prakash Vedula, Ph.D., a professor at the University of Oklahoma School of Aerospace and Mechanical Engineering, and Alok Shukla, Ph.D., a professor in the Mathematical and Physical Sciences division at Ahmedabad University,  is now adopted by Google and IBM, marking a significant leap in quantum computing efficiency. 🔬 Exponential improvement: The Shukla-Vedula algorithm drastically reduces the complexity of creating quantum superposition states, a crucial step in quantum computing. 🏢 Adoption by industry leaders: Major platforms like Google’s Cirq and IBM’s Qiskit have incorporated this algorithm, underlining its importance in advancing quantum technologies. 💼 Real-world applications: From financial risk analysis at Goldman Sachs to cryptography, optimization, and AI, this algorithm has the potential to make a broad impact. 📊 Academic collaboration: Named after Prakash Vedula and Alok Shukla, the algorithm showcases the power of academic-industry partnerships in driving innovation. #QuantumComputing #TechInnovation #AIandFinance 🚀 Future potential: The algorithm's ongoing adoption signals exciting developments for quantum applications in diverse fields, from AI to finance.

A quantum computer from IBM has been installed on a university campus for the first time. These machines are marvels. Instead of processing information via arithmetic logic, transistors, and gated circuits, in a quantum computer it is (in some sense) the universe itself performing the calculation via the intrinsic quantum properties of atoms themselves. Current machines are still "small" in terms of the number of entangled particles kept in ultracold states and used for the computation. The one being installed at Rensselaer Polytechnic Institute is 127 quantum bits, but is already able to perform useful work. Recent breakthroughs are improving the stability of these fragile systems, which will enable larger quantum computers to be built. As a physicist, I sometimes view the universe as a giant information processing machine. Quantum computers tap into this machine, but in a very tiny way. https://lnkd.in/g--YpJTN

QR10: Demystifying Quantum Computing: We have seen that Quantum Computing uses qubits instead of bits. Here is a set of links to tutorials that covers the principles and concepts of quantum computing. * “Quantum Computing 101” by IBM: https://lnkd.in/gxiDe_vF * “Quantum Computing 101” by Microsoft: https://lnkd.in/gZJ55-y6 * “Quantum Computing Fundamentals” by MIT: https://lnkd.in/gtGXiVn4 * FutureLearn: https://lnkd.in/grUesmjR 15 things everyone should know about Quantum Computing ? https://lnkd.in/gcNGVgdY The quest to quantify Quantumness of Quantum Computers : https://lnkd.in/gDnwYK2g A video about the map of Quantum Computing : https://lnkd.in/gQAFx2Fd In keeping with the present times, the best way of learning anything new, for which it is difficult to find a tutor is to go to chatGPT. Here is a video from Prof Mike Sharples who shares his own experience as well: https://lnkd.in/geAGBTMa Prompts for learning Quantum : Diving into Quantum Computing is an exciting endeavor. When creating prompts for self-learning, you might consider the following: 1. **Basics**: Start with fundamental concepts. For Quantum Computing, topics like qubits, superposition, and entanglement are crucial. Prompt: "Explain the concept of superposition and its significance in quantum computing." 2. **Key Algorithms**: Explore quantum algorithms such as Shor's algorithm or Grover's algorithm. Prompt: "Compare and contrast Shor's algorithm and Grover's algorithm in quantum computing." 3. **Quantum Gates**: Understand the basic quantum gates like Hadamard, CNOT, and others. Prompt: "Describe the function and applications of the CNOT gate in quantum computing." 4. **Quantum Mechanics**: A solid understanding of quantum mechanics is essential. Prompt: "Explain the connection between quantum mechanics and quantum computing." 5. **Applications**: Look into potential applications of quantum computing in various fields. Prompt: "Discuss the potential impact of quantum computing in cryptography and cybersecurity." These prompts can help guide your learning and ensure a comprehensive understanding of Quantum Computing. Google and XPRIZE are stoking the fires of innovation with a hefty $5m prize for practical applications of quantum computers.

Quantum Computing with Electron Spin States: A Temporal Perspective **Understanding the Concept** Quantum computing leverages the unique properties of quantum mechanics to perform calculations that are infeasible for classical computers. One promising approach involves manipulating the spin states of electrons. Electron spin, a quantum property, can exist in either of two states: "up" or "down." By controlling these states, we can encode and process quantum information. **Time as a Task** In this concept, we propose to use electron spin states to represent and manipulate time. This is akin to using a clock, where the position of the hands represents a specific time. However, instead of mechanical hands, we would use the quantum state of an electron. * **State Representation:** Each possible spin state of the electron could correspond to a specific point in time. For instance, "up" might represent a time in the past, while "down" could signify a time in the future. * **Task Manipulation:** To perform a temporal task, we would manipulate the electron's spin state. For example, to move forward in time, we might apply a quantum operation that rotates the spin state from "up" to "down." **Potential Applications** * **Time-based Simulations:** This approach could be used to simulate systems that evolve over time, such as chemical reactions or physical processes. * **Quantum Algorithms:** Certain quantum algorithms, like Shor's algorithm for factoring large numbers, involve time-based operations. This concept could provide a novel way to implement these algorithms. * **Quantum Clocks:** By accurately controlling the electron's spin state, we could potentially create extremely precise quantum clocks. **Challenges and Considerations** * **Decoherence:** Maintaining the quantum state of an electron is challenging due to decoherence, which occurs when the electron interacts with its environment. This can cause the quantum information to be lost. * **Control Precision:** Accurately manipulating the electron's spin state requires precise control techniques, which can be technically demanding. * **Scaling:** Implementing this concept at a large scale to perform complex temporal calculations would require significant advances in quantum hardware and control. **Conclusion** Using electron spin states to represent and manipulate time in quantum computing offers a promising avenue for exploring new computational paradigms. While there are significant challenges to overcome, the potential benefits, such as improved simulations and algorithms, make this concept worthy of further investigation.