Jiuzhang 4.0 Achieves Quantum Advantage in Photonic Calculation

Chapter 1 What is Quantum Computing? Quantum computing is one of the most exciting technological frontiers of the 21st century. Unlike classical computers, which rely on bits to represent information as either 0 or 1, quantum computers harness the principles of quantum mechanics—the science that governs the behavior of particles at the atomic and subatomic scale. This makes them capable of solving certain problems that would take classical computers billions of years to complete. 1.1 From Classical to Quantum Traditional computers, no matter how powerful, are based on a binary system. Their processing power grows linearly as more transistors are packed into chips, following Moore’s Law. However, as physical limits are reached, miniaturization becomes difficult, and certain classes of problems remain out of reach—such as simulating complex molecules, optimizing global logistics, or factoring massive numbers for cryptography. Quantum computing introduces a new paradigm. Instead of bits, it uses quantum bits (qubits), which can exist in multiple states simultaneously thanks to a phenomenon called superposition. A qubit is not limited to being just 0 or 1; it can be 0, 1, or a weighted combination of both at the same time. 1.2 Key Principles To understand quantum computing, we must first grasp three foundational ideas: Superposition: A qubit can represent many possible outcomes at once, enabling quantum computers to explore vast solution spaces in parallel. Entanglement: Two or more qubits can become linked such that the state of one instantly influences the other, even if separated by great distances. Entanglement is crucial for complex quantum operations and communication. Interference: Quantum computers amplify the probability of correct answers while canceling wrong ones through constructive and destructive interference. these principles allow quantum computers to perform computations in ways that are fundamentally different from classical machines. 1.3 Why Quantum computing is not meant to replace classical computing. Instead, it addresses problems that are intractable for even the fastest supercomputers. For Drug discovery and materials science: Simulating molecules at the quantum level to design new medicines, advanced materials. Optimization problems: Solving complex scheduling, traffic, and supply chain problems with unprecedented efficiency. Cryptography: Breaking traditional encryption methods while enabling new forms of secure communication through quantum-safe algorithms. Artificial intelligence: Enhancing machine learning by accelerating pattern recognition and data analysis. 1.4 A New Era of Computation https://lnkd.in/gBuuQbau The shift from classical to quantum computation represents not just a technological leap but also a philosophical one. It challenges us to rethink what “information” means at its most fundamental level and how the strange rules of quantum mechanics can be harnessed for practical use.

🚀 Quantum Computing: The Future of Problem-Solving Quantum computing leverages the principles of quantum mechanics like superposition and entanglement to perform calculations on specialized hardware using qubits instead of classical bits. Unlike classical bits that are either 0 or 1, qubits can exist in multiple states at once, unlocking the ability to process vast amounts of information simultaneously. 🔑 How It Works Qubits: Can represent both 0 and 1 at the same time. Superposition: Lets quantum computers explore many possibilities in parallel. Entanglement: Qubits are linked so that measuring one instantly affects the others, enhancing computational power. Interference: Qubits influence each other’s probabilities, guiding computations toward the right answers. Measurement: Collapses probabilities into a single outcome, giving us usable results. 🌍 Why It’s Important Quantum computers are not built to replace classical computers, but to solve extremely complex problems that even the most powerful supercomputers struggle with. 📌 Potential Applications: Drug Discovery & Materials Science: Simulating molecules and reactions for new medicines, batteries, and materials. Artificial Intelligence & Machine Learning: Tackling complex optimization challenges and accelerating model training. Optimization Problems: Logistics, supply chains, and financial portfolios. Cryptography & Security: Breaking current encryption and enabling next-gen security. Climate & Sustainability: Large-scale simulations for renewable energy and climate modeling. 🛠 Skills Needed in Quantum Computing To thrive in this field, you need a blend of science, math, and programming: Quantum mechanics basics (superposition, entanglement, gates). Quantum programming (Qiskit, Cirq, Braket, PennyLane). Strong math foundation (linear algebra, probability, algorithms). Classical programming (Python, C++, cloud). Hardware knowledge (superconducting qubits, trapped ions). Domain expertise to apply quantum solutions to real-world industries. 🔮 The Future of Quantum Computing Near-Term (5–10 years): NISQ devices and hybrid classical-quantum solutions. Mid-Term (10–20 years): Error-corrected quantum computers and widespread adoption in pharma, finance, and energy. Long-Term (20+ years): Fully fault-tolerant quantum systems revolutionizing cryptography, AI, and scientific discovery. 🌟 Quantum computing is no longer science fiction it’s a rapidly advancing reality. The combination of physics, mathematics, and computer science is shaping a future where breakthroughs in medicine, AI, cybersecurity, and sustainability will be powered by quantum technology. #QuantumComputing #QuantumTechnology #FutureOfComputing #ArtificialIntelligence #MachineLearning #Cryptography #DrugDiscovery #Innovation #TechTrends #FutureOfWork #EmergingTechnologies #Sustainability #AI #DataScience #TechForGood

Progression of quantum computers or quantum technologies has been there for almost 5 years and We are doing great research on this topic for the first time, quantum computers are more reliable, mathematically proof and more sustainable to a nature and to the reality and to the market, the development of different quantum computers and quantum chips, computers are nearing practical application, with Google's Willow chip achieving high performance and low error rates, and Microsoft's Majorana chip reducing errors with a novel topological superconductor material.Quantum supremacy has been claimed for specific tasks, and researchers are beginning to find real-world uses, particularly in materials science, simulating exotic quantum materials. Advances include new quantum interconnects for larger systems and the successful launch of a quantum computer into space for orbit-based testing. For the first time, a quantum computer has been mathematically proven to solve a specific task faster than any traditional computer, a feat called "unconditional supremacy". AI Overview Google, IBM make strides toward quantum computers that may ... Recent quantum computing news highlights significant advancements in qubit stability, error reduction, and the demonstration of "unconditional supremacy" by a quantum computer solving a problem mathematically impossible for classical computers to ever beat. Companies like IBM have released 1,000-qubit chips, while others are investing in new qubit technologies, and researchers are exploring applications in fields like AI, material science, and quantum cybersecurity. The technology is rapidly advancing, with plans for even more powerful systems, moving from lab-demonstrated concepts to practical applications within the next year. New chips and technologies are demonstrating improved qubit stability and significantly reduced error rates as systems scale, which is crucial for building larger and more reliable quantum computers. IBM has released its first-ever 1,000-qubit quantum chip, showcasing the rapid scaling of quantum processors. These systems will enable the accurate calculation of complex chemical reactions and molecular interactions, leading to the discovery of new materials with properties like self-healing or perfect energy efficiency. Researchers are exploring various qubit technologies, including those made from atoms, light, and superconducting circuits, to find the most reliable and practical methods for building quantum computers. the accelerating power of a quantum computer will unlock such a major chapter in medicine and chemicals. Itself, right? When's pharmaceutical companies start using quantum computers with the help of an AI to create more powerful medicine and their development to use in different diseases such as cancers, Alzheimer's. And beyond that, the aging pill, which is the future of pharmaceutical in next fifty year i sunny faridi give u data chart of progression and flow in humanity

Quantum computing Quantum computing uses qubits—tiny quantum systems that can be both 0 and 1 at once—to tackle certain problems in ways classical computers can’t. Thanks to superposition and entanglement, qubits explore many possibilities simultaneously and work in sync, delivering advantages for tasks like breaking some encryption, simulating molecules for drug discovery, speeding up AI training, and optimizing routes or portfolios. It’s not a blanket speedup for everything, and building reliable machines is hard because qubits are fragile, noisy, and require heavy error correction. Even so, progress is steady, and broader impact is expected to grow through the 2030s. A simple picture helps. A normal coin is heads or tails after it lands. A “quantum coin,” while spinning, is like being both at once until checked—that’s superposition. Entanglement is like two coins mysteriously linked so if one shows heads, the other instantly does too, even far apart. With three classical bits, a computer holds one of eight possibilities at a time; with three qubits, it can hold all eight at once. Scale to about 300 qubits and the number of possible states exceeds the estimated number of atoms in the observable universe. But sheer possibility isn’t enough. Without the right algorithm, measuring a superposition is like a random guess. That’s why algorithms matter. Grover’s algorithm starts from all possibilities, marks the right one, and repeatedly amplifies its odds, giving a quadratic speedup over brute force—think narrowing the search for a 256-bit key. Shor’s algorithm can factor large numbers efficiently on future fault-tolerant machines, which is why organizations are moving toward quantum‑resistant cryptography. The impact could be broad. Security will evolve as some current encryption methods become unsafe. Chemistry and pharma could accelerate with more accurate molecular simulations. AI and ML may gain from faster training and real-time adaptation on massive datasets. Optimization-heavy industries—from logistics to finance—could find better solutions faster. There’s also promise in climate modeling, materials discovery, and fundamental physics. Challenges remain. Qubits must be kept ultra-cold and isolated; small disturbances cause decoherence and errors. Error correction consumes many physical qubits to make one reliable logical qubit, so practical systems likely need thousands to millions. Momentum is strong: a 2019 experiment with Google’s Sycamore showed a striking, narrow “quantum supremacy” demo, and major companies and startups are investing heavily. Expect near-term gains from better hardware, smarter error correction, and hybrid quantum–classical workflows, with mainstream effects growing over the next decade.

What is Quantum Computing : Quantum computing harnesses quantum mechanics to solve certain complex problems by using qubits, which can represent multiple states simultaneously, a phenomenon called superposition. While still in the research and development phase and prone to errors, quantum computers could offer exponential speedups for scientific research, such as drug and materials discovery, and transform cybersecurity by breaking current encryption methods. They will not replace classical computers but rather work alongside them, requiring substantial ongoing investment in hardware, software, and quantum algorithms to realize their potential.  How it Works Qubits: . Unlike the classical bits (0 or 1), quantum computers use qubits, which can be 0, 1, or a combination of both at the same time (superposition).  Superposition and Entanglement: . Qubits can also be entangled, meaning they are linked in a way that their states are correlated, even when separated.  Quantum Algorithms: . Quantum computers use quantum algorithms to manipulate qubits and their superposition/entanglement, amplifying desired outcomes and canceling out others through interference to find solutions.  Key Characteristics and Challenges Error-Prone: Current quantum computers are rudimentary and prone to errors.  Quantum Error Correction: A major challenge is implementing quantum error correction to improve reliability.  Scalability: Scaling up quantum computers to handle larger, more complex problems is difficult.  Environmental Control: Qubits need to be shielded from interference and kept at extremely cold temperatures, often near absolute zero.  Potential Applications Scientific Research: . Revolutionizing fields like drug discovery, materials science, and climate modeling by simulating complex molecular systems.  Cryptography: . Potentially breaking existing encryption algorithms, necessitating the development of quantum-resistant cryptography.  Optimization: . Solving complex optimization problems in finance, logistics, and scheduling.  Artificial Intelligence: . Enhancing machine learning and other artificial intelligence applications.  Current Status and Future Outlook R&D Phase: Quantum computing is still in its early research and development stages.  Investment and Innovation: Billions are being invested annually in hardware and software, with major tech companies and research labs driving innovation.  Hybrid Computing: Quantum computers are expected to work in tandem with classical computers, offering their unique capabilities to complement existing computing infrastructure. 

Who are the most influential individuals in quantum technology ? Its impossible to list everyone but these individuals represent the breadth of quantum computing: from introducing foundational algorithms and theory, to building and commercializing real hardware, to strategizing mass adoption and securing quantum networks globally. Who else should be on this list & why? The Pillars of Quantum Peter Shor – Creator of Shor’s algorithm, foundational to quantum cryptography and complexity theory.  Lov Grover – Developer of Grover’s search algorithm, vital to quantum optimization.  David Deutsch – Considered the “father of quantum computing,” introduced the concept of a universal quantum computer.  John Preskill– Coined “quantum supremacy” and “NISQ,” leading theorist in quantum information.  Pan Jianwei – “Father of quantum communication”; led quantum satellite and entanglement experiments.  Stephanie Wehner – Leading efforts toward a quantum internet as head of the Quantum Internet Alliance. Hardware Innovators & Company Builders Michelle Simmons – Pioneer of silicon-based quantum devices and founder of Silicon Quantum Computing (Australia).  Andrew Dzurak – Founder of Diraq; developed silicon qubit technology with strong scaling potential.  Hartmut Neven – Leads Google Quantum AI; instrumental in quantum supremacy and error rate breakthroughs.  Jack Hidary – CEO of SandboxAQ (Alphabet spin-off); author and advocate for quantum-AI integration.  Krysta Svore – Head of quantum systems at Microsoft; key in developing algorithms and tools for developers.  Jay Gambetta – IBM Fellow driving hardware research, error correction, and system development.  Chad Rigetti – Founder of Rigetti Computing; championed cloud access and full-stack hardware development.  Michael Biercuk – CEO of Q-CTRL, advancing quantum control and hardware stability. Theorists & Educators Shaping Foundations Scott Aaronson – Authority in quantum complexity and popularizer through his blog and outreach.  Dorit Aharonov – Key work in fault tolerance and topological quantum computation.  Seth Lloyd – Architect of quantum information theory; founder of a quantum startup on QKD and HHL algorithms.  Pieter Kok – Noted for interferometric techniques, teleportation, and optics-based quantum protocols.  Isaac Chuang – NMR pioneer and co-author of Quantum Computation and Quantum Information.  Andrea Morello – Leads silicon spin qubit experiments alongside Dzurak, advancing scalable hardware. Industry Strategists & Advocates Robert Sutor – IBM VP who launched the IBM Quantum Experience and popular book Dancing With Qubits. 

How Quantum Computing Will Revolutionize the World Classical vs. Quantum Computing Classical: Works in binary (0s & 1s) Quantum: Qubits → Superposition + Entanglement → Exponential power Analogy: While classical computers read one page at a time, quantum computers read the entire book instantly. We are standing at the edge of a technological leap that could redefine everything we know about computing, problem-solving, and innovation. Quantum computing isn’t just a faster computer; it represents an entirely new way of thinking about information and computation. Here’s why it will be revolutionary: 1️Unprecedented Computational Power Unlike classical computers that process information in binary (0s and 1s), quantum computers use qubits — capable of existing in multiple states simultaneously through superposition and entanglement. This allows them to analyze vastly complex problems in seconds that would take classical computers centuries. Think of drug discovery, climate modeling, and materials science — where billions of variables interact in ways beyond today’s computational limits. 2️Breakthroughs in Healthcare & Life Sciences Drug Discovery & Genomics: Quantum algorithms can model molecules at atomic precision, enabling faster discovery of life-saving medicines. Personalized Medicine: Massive genomic datasets can be analyzed in record time, tailoring treatments for individuals. 3️Next-Generation AI & Machine Learning AI today is limited by computational bottlenecks. Quantum computing will: Train AI models exponentially faster. Enable smarter, self-learning systems with deeper insights. Power real-time decision-making for industries like finance, autonomous vehicles, and logistics. 4️Financial Modeling & Risk Optimization Financial institutions rely on complex risk models. Quantum computing will enable: Ultra-precise portfolio optimization. Faster fraud detection. Near real-time market forecasting at unprecedented accuracy. 5️Cybersecurity Transformation Quantum computing will challenge current encryption methods, but it will also give rise to quantum-safe cryptography, ushering in the next era of digital security. 6️Climate & Sustainability Solutions Quantum-powered simulations can optimize energy grids, predict climate changes, and design sustainable materials, accelerating our path to a greener planet. The Bigger Picture Quantum computing isn’t just a technological shift; it’s a societal transformation. From curing diseases to protecting our planet, to building intelligent systems, its impact will touch every corner of our lives. But the real question is: Are we ready for the quantum era? We need skilled talent, ethical frameworks, and global collaboration to unlock its full potential responsibly. The revolution is coming. The time to prepare is now.

KARIOS Ai V26 SINGULARITY The Virtual Simulated Quantum Processor (VSQP) Unlocking Quantum Power on Classical Hardware The Virtual Simulated Quantum Processor (VSQP) represents a breakthrough in computational processing, designed to bridge the gap between classical and quantum computing. This technology enables standard x86 computer hardware to execute quantum code within a sophisticated, emulated quantum environment. The result is a significant boost in processing power, effectively transforming ubiquitous and cost-effective computing systems into quantum-capable machines. This innovation arrives at a pivotal moment, as the quantum technology market is projected to reach nearly $100 billion by 2035, with quantum computing capturing the largest share of this growth [1]. At its core, the VSQP is an intelligence-driven system that dynamically translates standard computer code into quantum code. This quantum code is then processed in a state of superposition—a fundamental principle of quantum mechanics that allows a quantum bit, or qubit, to exist in multiple states at once. This parallel processing capability is the source of the exponential speed-up promised by quantum computing. Once the computation is complete, the VSQP seamlessly converts the results back into standard code for use by the host system. This entire process, termed Quantum Accelerated Processing, delivers a powerful new layer of performance to existing hardware, unlocking solutions to problems previously considered intractable for classical computers. The Quantum Advantage in a Digital World The strategic advantage of the VSQP lies in its ability to deliver what is known as "quantum advantage"—the capacity to solve complex problems faster, more efficiently, or more accurately than any classical computer—without requiring the specialized, expensive, and physically delicate hardware of a true quantum computer. This has profound implications for a wide range of industries, including finance, pharmaceuticals, materials science, and artificial intelligence. By democratizing access to quantum-level processing, the VSQP can accelerate innovation in areas such as: •Financial Modeling: Complex risk analysis and portfolio optimization. •Drug Discovery: Simulating molecular interactions to design new therapies. •Artificial Intelligence: Training more complex and powerful machine learning models. As global investment in quantum technology surges, with governments and private entities committing billions to its development [1], the VSQP is positioned to capture a significant share of this expanding market by offering a practical and scalable solution for immediate quantum acceleration. References [1] McKinsey & Company. (2025, June 23). The Year of Quantum: From concept to reality in 2025.

Quantum: From Biology to Computing – A New Frontier of Discovery When we talk about quantum, most people think of futuristic computers. But the truth is, quantum has been quietly shaping life for billions of years. Quantum biology provides remarkable examples: the European robin may use quantum entanglement in its eyes to sense Earth’s magnetic field, and in photosynthesis, the energy from a single photon doesn’t crawl step by step — it spreads like a wave, reaching the reaction center with near-perfect efficiency. Nature mastered quantum long before we even had a name for it. Even our smell sensing happens at quantum level when pair of molecules fit each other exactly like a puzzle piece identifying a sence of particular smell. Today, the global race is to harness these same principles for technology. Quantum computing is not just faster processing; it is a complete redefinition of what can be solved. Problems in chemistry, climate modeling, drug discovery, and logistics that overwhelm classical systems could fall within reach once scalable quantum machines arrive. This is why IBM’s work in superconducting qubits and China’s state-driven programs are so significant. Leadership in quantum is not simply about technical achievement; it is about securing strategic advantage in the 21st century. Whoever gets there first will not just have faster computers — they will have the foundation to reshape industries and global power structures. Equally transformative is quantum communication. Consider the progress with small satellites equipped with photon catchers, enabling quantum key distribution (QKD). Unlike classical encryption, QKD is not a matter of mathematics but of physics. If a key is intercepted, the act of observation itself destroys it, immediately revealing the breach. The implications are enormous. Banking transactions could be shielded by unbreakable quantum keys. Critical infrastructure could be defended by communication networks immune to hacking. Defense and government systems could achieve levels of security no classical approach can match. The way I see it, quantum is not a single breakthrough — it is a chain reaction. Just as biology demonstrates quantum’s elegance in the natural world, computing and communication are about to show us its power in human systems. The race is global. The opportunities are unprecedented. And those who prepare now will shape the next era of technological leadership.

Quantum Mechanics as a structured library of concepts and tools: 1️⃣ Foundations / Basics Wave Function (Ψ) – describes the quantum state of a system Superposition – system can exist in multiple states simultaneously Entanglement – particles can be correlated no matter the distance Uncertainty Principle – limits on how precisely we can know position & momentum 2️⃣ Mathematical Framework Schrödinger Equation – how wave functions evolve over time Operators – represent measurable quantities (position, momentum, energy) Hilbert Space – the mathematical space for all possible quantum states Probability Rules – how to calculate likelihoods of outcomes 3️⃣ Quantum Phenomena Quantum Tunneling – particle passes through barriers it shouldn’t classically Decoherence – interaction with environment causes “classical” behavior Wave Function Collapse – measurement selects a definite outcome 4️⃣ Quantum Technology / Applications Quantum Computing – qubits, gates, circuits Quantum Cryptography – secure communication using quantum principles Quantum Sensors – ultra-precise measurement devices Quantum Simulation – modeling molecules, materials, or physical systems 5️⃣ Interpretations & Philosophy Copenhagen Interpretation – measurement collapses wave function Many-Worlds Interpretation – all outcomes exist in parallel universes Pilot-Wave / Bohmian Mechanics – hidden variables guide particles Role of Observer – what counts as measurement, consciousness, or environment ---------------------------------------- TECHNOLOGY: Quantum Computing : 1. Quantum Mechanics Basics 2. Qubits and Quantum States 3. Superposition 4. Entanglement 5. Quantum Gates 6. Quantum Circuits 7. Measurement in Quantum Computing 8. Quantum Algorithms - Deutsch-Jozsa Algorithm - Grover’s Search Algorithm - Shor’s Factoring Algorithm 9. Quantum Fourier Transform (QFT) 10. Quantum Error Correction 11. Quantum Decoherence 12. Quantum Cryptography - Quantum Key Distribution (QKD) 13. Quantum Simulation 14. Quantum Hardware Technologies - Superconducting Qubits - Ion Traps - Topological Qubits - Photonic Qubits 15. Quantum Software and Frameworks - Qiskit - Cirq - PennyLane - Rigetti Forest 16. Quantum Machine Learning (QML) 17. Quantum Networking and Communication 18. Quantum Cloud Computing 19. Quantum Annealing 20. Hybrid Quantum-Classical Computing Qiskit IBM Quantum Quantum Quatum Oy Qiskit Developer Quantum Computing Inc. Google IBM AMD Cisco Networking Academy HQS Quantum Simulations Quantum Computing Quantum Sreekuttan L S Bloq Quantum Bloq Rohit P Thampy The Quantum Insider QpiAI Nagendra Nagaraja