For the first time, experimental physicists from the Würzburg-Dresden Cluster of Excellence ct.qmat have demonstrated a new quantum effect aptly named the “spinaron.” In a meticulously controlled environment and using an advanced set of instruments, they managed to prove the unusual state a cobalt atom assumes on a copper surface. This revelation challenges the long-held Kondo effect – a theoretical concept developed in the 1960s, and which has been considered the standard model for the interaction of magnetic materials with metals since the 1980s.
While there's really nothing like the quantum world to make you feel unintelligent, it's good to know that there are scientists around the world to whom this stuff makes sense.
Read More. https://www.sify.com/technology/the-latest-breakthroughs-in-quantum-computing/
Yeni keşifler, yenilikçi ürünler ve teknolojik ilerlemelerle dolu bir ...
https://gecbunlari.com/2024-yilinda-beklenen-teknoloji-trendleri-ve-inovasyonlar/
India Cancer Treatment Market is growing due to the rising burden of cancer, growing awareness about cancer, government’s initiatives to improve cancer care, and growing adoption of advanced technologies.
BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated the India Cancer Treatment Market size by value at USD 4.21 billion in 2023. During the forecast period between 2024 and 2030, BlueWeave expects the India Cancer Treatment Market size to expand at a CAGR of 8% reaching a value of USD 5.89 billion by 2030. The Cancer Treatment Market in India is propelled by increasing rate of cancer cases, with an estimated 1.39 million cases in 2020 and over 0.8 million deaths in 2019, posing a significant public health concern. Notably, cervical cancer claims one woman's life every 8 minutes, and breast cancer mortality remains high. The surge in tobacco consumption further exacerbates cancer fatalities. Factors contributing to rising cases include dietary changes, food adulteration, and environmental factors. Sedentary lifestyles and junk food consumption also contribute to increasing cancer incidences. It underscores the pressing need for timely diagnosis and preventive care, driving substantial investments in R&D to develop more effective drugs. The Indian market offers growth opportunities for venture capitalists and investors, given the saturation of developed markets in the cancer treatment industry.
Opportunity – Increasing Popularity for Ayurveda-based Cancer Medication and Therapies
The Indian government has undertaken various initiatives to promote research in Ayurveda and the advancement of cancer treatments. The Central Council for Research in Ayurvedic Sciences (CCRAS), an independent organization established by the government, has been actively engaged in cancer research, drug development, and documenting medical procedures. AYUSH QOL2C, developed by CCRAS, aims to improve the quality of life for cancer patients. Consequently, Ayurveda-based medications are poised to offer promising opportunities for industry players during the forecast period.
Impact of Escalating Geopolitical Tensions on India Cancer Treatment Market
Geopolitical tensions can have a multifaceted impact on the India Cancer Treatment Market. Uncertainties arising from geopolitical conflicts may disrupt the supply chain of crucial medical equipment, drugs, and resources necessary for cancer treatment. Additionally, heightened tensions may lead to economic instability, affecting healthcare budgets and investment in medical infrastructure and research. Import restrictions and trade barriers resulting from geopolitical conflicts can further exacerbate the situation, limiting access to essential cancer treatment technologies and medications. Overall, escalating geopolitical tensions pose significant challenges to the India Cancer Treatment Market, potentially impeding access to vital healthcare services for cancer patients.
🌌💰 Unlocking the Quantum Frontier: Implications of Quantum Computing for Financial Cryptography 💻🔒
Hey Tumblr fam! Let's dive into the mind-bending world of quantum computing and its implications for financial cryptography. 🚀💡
🔍 Quantum Computing 101: First off, what's the deal with quantum computing? 🤔 Unlike classical computers that use bits to process information, quantum computers use quantum bits or qubits. These qubits can exist in multiple states simultaneously, enabling them to perform complex calculations at lightning speed. 😮⚡️
🔐 The Challenge for Cryptography: Now, let's talk about financial cryptography. It's the backbone of secure transactions, protecting sensitive financial data from prying eyes. 💳🔒 But here's the kicker: quantum computers have the potential to crack traditional cryptographic algorithms, threatening the security of our financial systems. 😱
🛡️ Preparing for the Quantum Apocalypse: So, what's the game plan? It's all about staying ahead of the curve. 💪 Researchers are already exploring quantum-resistant cryptographic algorithms that can withstand attacks from quantum computers. It's like fortifying our defenses for the digital age. 🏰🔐
🚀 Opportunities on the Horizon: But hey, it's not all doom and gloom! Quantum computing also opens doors to new possibilities in finance. 🌌 From optimizing portfolio management to speeding up financial modeling, the potential applications are endless. It's like having a financial supercomputer at our fingertips! 💼💥
💬 Join the Conversation: What are your thoughts on the intersection of quantum computing and financial cryptography? Are you excited about the potential or concerned about the risks? Let's chat! 💬🌟
Keep exploring, stay curious, and let's ride the quantum wave into the future together! 🌊🚀
DebitMyData Custom Logo and Facial Recognition-Quantum-Computing-Bridge
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By demonstrating optical squeezing at room temperature in their system, the researchers showed that they could effectively control and observe quantum phenomena in a macroscopic system without the need for extremely low temperatures.
Keeping Up with Technology: US Urges Change in Export Controls to Stay Ahead
#advancedmanufacturing #artificialintelligence #emergingtechnologies #exportcontrols #Quantumcomputing
Revealing Nvidia Quantum Simulator’s Advanced Features
NVIDIA quantum
NVIDIA has introduced a cloud service that enables scientists and engineers to explore the limits of quantum computing in important scientific fields including materials science, chemistry, and biology. And NVIDIA platforms for accelerated and quantum computing would power Japan’s new ABCI-Q supercomputer, which is intended to further the country’s quantum computing effort.
Nvidia quantum simulator
NVIDIA’s Quantum Simulation Platform is accessible via major cloud providers and may help scientists advance research in quantum computing and algorithms.
Nvidia quantum computing
Three-quarters of the businesses deploying quantum processing units, or QPUs, utilize the open-source CUDA-Q quantum computing technology, which forms the foundation of NVIDIA Quantum Cloud. It is the first microservice that enables users to create and test novel quantum algorithms and applications in the cloud, including robust simulators and tools for hybrid quantum-classical programming.
Tim Costa, head of HPC and quantum computing at NVIDIA, said, “Quantum computing presents the next revolutionary frontier of computing and it’s going to require the world’s most brilliant minds to bring this future one step closer.” “Every scientist in the world can now harness the power of quantum computing and bring their ideas closer to reality with the help of NVIDIA Quantum Cloud, which breaks down barriers to the exploration of this revolutionary technology.”
To speed up scientific research, Quantum Cloud has strong functionality and third-party software integrations, such as:
Working with the University of Toronto, the Generative Quantum Eigensolver makes use of large language models (LLMs) to speed up the quantum computer’s ability to determine a molecule’s ground-state energy.
Due to Classiq’s integration with CUDA-Q, quantum researchers are able to create complex, large-scale programs and perform in-depth analysis and simulation of quantum circuits.
Complex quantum chemistry challenges, such molecular modeling, are addressed by QC Ware Promethium.
NVIDIA Cuda quantum
The cutting-edge hybrid quantum-classical computer platform
A bridge technology is required to allow dynamic workflows across heterogeneous system architectures for the purpose of conducting algorithm research and developing applications for future quantum benefits. NVIDIA CUDA-Q is an open-source platform that combines and programs GPUs, CPUs, and quantum processing units (QPUs) in a single system using a unified and open programming approach. Over heterogeneous QPU, CPU, GPU, and simulated quantum system parts, CUDA-Q accelerates system scalability and performance.
NVIDIA CUDA-Q
Typical QML workflow in CUDA-Q using multi-threaded CPU versus multiple NVIDIA A100 Tensor Core GPUs
Constructed for Effectiveness
Simple hybrid code execution on a wide variety of quantum processors both simulated and real is made possible by NVIDIA CUDA-Q. Researchers may link their own simulator or quantum processor, or they can use the cuQuantum-accelerated simulation backends and QPUs from their partners.
When comparing NVIDIA CUDA-Q to other quantum frameworks, quantum computations may be accelerated considerably. Using several GPUs, quantum algorithms may scale the number of qubits and reach speedups of up to 2500X over CPU.
The Quantum Ecosystem’s Adoption
NVIDIA’s ecosystem for quantum computing has over 160 partners. As with many other major quantum enterprises including IQM Quantum Computers, OQC, ORCA Computing, qBraid, and Quantinuum, top cloud service providers like Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure are incorporating Quantum Cloud into their services.
Access to Quantum computing Nvidia
By registering for early access, innovators in quantum computing may use NVIDIA Quantum Cloud to jumpstart and accelerate their quantum computing research.
ABCI-Q Advances National Quantum Computing with NVIDIA Hopper Architecture and CUDA-Q
Nvidia quantum 2
High-fidelity quantum simulations for research across sectors will be made possible by ABCI-Q. NVIDIA CUDA-Q, an open-source hybrid quantum computing platform with strong simulation tools and the ability to design hybrid quantum-classical systems, is integrated with the high-performance, scalable system. More than 500 nodes, each with more than 2,000 NVIDIA H100 Tensor Core GPUs, are linked to the supercomputer using NVIDIA Quantum-2 InfiniBand, the only completely offloadable in-network computing platform in existence.
Built by Fujitsu at the National Institute of Advanced Industrial Science and Technology (AIST) ABCI supercomputing center, the Global Research and Development center for Business by Quantum-AI Technology (G-QuAT) ABCI-Q is intended to be deployed early in the next year and is engineered for integration with quantum hardware in the future.
Tim Costa, NVIDIA’s head of high performance computing and quantum computing, said that “researchers need high-performance simulation to tackle the most difficult problems in quantum computing.” “Quantum-integrated supercomputing pioneers like those at ABCI are able to accelerate its development and make significant strides thanks to the NVIDIA H100 and Cuda-Q.”
Masahiro Horibe, deputy director of G-QuAT/AIST, said that “ABCI-Q will let Japanese researchers explore quantum computing technology to test and accelerate the development of its practical applications.” “These scientists will be able to explore the next frontiers of quantum computing research with the support of the NVIDIA CUDA-Q platform and NVIDIA H100.”
A component of Japan’s strategy for innovation in quantum technology, ABCI-Q seeks to open up new avenues for companies and society to profit from quantum technology, notably via research in artificial intelligence (AI), renewable energy, and biology.
The ABCI-Q system is meant to serve as a platform for the development of novel algorithms motivated by quantum technology, the creation of classical-quantum hybrid systems, and the progress of quantum machine learning and quantum circuit modeling.
Nvidia quantum-2 infiniband
Network Communications Performance That Breaks Records
The seventh version of the NVIDIA InfiniBand architecture, NVIDIA Quantum-2, provides the fastest networking speed and feature sets accessible to scientific researchers and AI developers to tackle the most difficult issues in the world. With features like software-defined networking, In-Network Computing, performance isolation, powerful acceleration engines, remote direct memory access (RDMA), and the highest rates and feeds up to 400Gb/s, NVIDIA Quantum-2 powers the top supercomputing data centers in the world.
Improving Applications and Supercomputers for AI and HPC
Enhanced In-Network Processing
Faster interconnects and more intelligent networks are needed for high-performance computing (HPC), artificial intelligence (AI), and hyperscale infrastructures in order to analyze data and conduct complicated simulations more quickly and effectively. With preconfigured and programmable compute engines, such as the third iteration of the NVIDIA Scalable Hierarchical Aggregation and Reduction Protocol (SHARPv3), Message Passing Interface (MPI) Tag Matching, MPI All-to-All, and programmable engines, NVIDIA Quantum-2 expands and improves its In-Network Computing while providing the best ROI and cost per node.
Isolation of Performance
With the help of cutting-edge proactive monitoring and congestion management, the NVIDIA Quantum-2 InfiniBand platform can enable traffic isolations, almost completely eliminate performance jitter, and guarantee predictive performance as if the application were running on a dedicated machine.
Native Cloud-Based Supercomputing
The NVIDIA Cloud-Native Supercomputing platform combines high-speed, low-latency NVIDIA Quantum-2 InfiniBand networking with the NVIDIA BlueField data processing unit (DPU) architecture. The system easily and securely provides bare-metal performance, data security, user management and isolation, on-demand high performance computing (HPC), and AI services.
Today, 🗽 The White House Office of Science and Technology Policy (#OSTP) is releasing an updated list of #critical and #emerging #technologies 🛰️🚀 (#CETs) that are potentially significant to U.S. national #security 👮.
--> The critical and emerging technology areas in the 2024 update are:
• Advanced Computing
• Advanced Engineering Materials
• Advanced Gas Turbine Engine Technologies
• Advanced and Networked Sensing and Signature Management
• Advanced Manufacturing
• Artificial Intelligence
• Biotechnologies
• Clean Energy Generation and Storage
• Data Privacy, Data Security, and Cybersecurity Technologies
• Directed Energy
• Highly Automated, Autonomous, and Uncrewed Systems, and Robotics
• Human-Machine Interfaces
• Hypersonics
• Integrated Communication and Networking Technologies
• Positioning, Navigation, and Timing Technologies
• Quantum Information and Enabling Technologies
• Semiconductors and Microelectronics
• Space Technologies and Systems
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Quantum and the Spirit: Unveiling the Mysteries Through New Technologies
In the boundless realm where quantum physics and spirituality merge, an extraordinary odyssey unfolds—one that tirelessly aims to unite the physical with the metaphysical, the visible with the invisible. This profound exploration, often referred to as “Quantum Spirituality,” delves into the intricate interplay between the principles of quantum mechanics and spiritual phenomena, seeking to unravel…