Kevin Corella Nieto’s Post

This post by QuEra Computing Inc. sounds very interesting. From my understanding, they claim to have developed a "Pseudomagic quantum state"—a type of quantum state necessary for achieving quantum supremacy, which is indistinguishable from a random quantum state with limited computational resources. Indeed, such a state could be crucial for sophisticated quantum calculations. However, I need to study quantum algorithms further to fully understand the significance of this work.

A new study published in Physical Review Letters introduces pseudomagic quantum states, which mimic the properties of complex nonstabilizer states but are simpler to construct. These states are computationally indistinguishable from random states to limited observers, potentially advancing quantum supremacy. The research highlights their implications for quantum cryptography, quantum chaos, and fault-tolerant quantum computing, paving the way for practical quantum applications. Pseudomagic quantum states: A path to quantum supremacy https://hubs.ly/Q02B_kGD0

A recent article in Quanta Magazine highlights the algorithmic progress in quantum factoring, a field that has excited (and scared) many since Peter Shor's 1994 period-finding algorithm that runs exponentially faster than classical alternatives. Key points include: Challenges in Implementing Shor's Algorithm: Implementing Shor's algorithm is difficult due to the susceptibility of quantum computers to errors. A recent paper estimated that factoring a standard 2,048-bit number would require a quantum computer with 20 million qubits, far beyond the capability of current quantum computers. Oded Regev's Contribution: Oded Regev, a cryptographer, has been exploring the connection between factoring and lattice-based cryptography. He has developed a new approach to quantum factoring by generalizing the periodic function in Shor's algorithm from one dimension to multiple dimensions, leading to a more efficient factoring process. Regev's Algorithm and Its Efficiency: Regev's algorithm reduces the number of logical steps required in the quantum part of the factoring process. This improvement could make the algorithm easier to implement in practice despite the increased number of qubits required. Recent Developments: Following Regev's work, researchers Vaikuntanathan and Ragavan found a way to reduce the memory use of Regev's algorithm, bringing it closer to practical implementation. Regev's work underscores that quantum computing is still open to significant discoveries, even in well-studied areas. It suggests that there may be more efficient quantum algorithms yet to be discovered. https://lnkd.in/gCahZP3C

Advances and adoption of new quantum algorithms will enable more practical implementations of quantum circuits. This new algorithm is now adopted by IBM and Google and widely available. The Shukla–Vedula algorithm focuses on creating uniform quantum superposition states, a critical part of quantum computing, and drastically reduces the complexity of this step. This efficiency is not just theoretical—it has practical applications across various fields, including quantum search, optimization, solution of differential equations, signal processing, cryptography, finance and artificial intelligence. https://lnkd.in/eZas-x8w

The Rise of Quantum Computing: Potential and Challenges Quantum computing represents a paradigm shift in computational power, offering capabilities that surpass traditional computing systems. This emerging technology holds promise for solving complex problems across scientific research, cryptography, optimization, and machine learning. Understanding Quantum Computing Quantum computers operate on principles of quantum mechanics, using quantum ... [...] #QuantumComputing Read more... https://lnkd.in/dJKzDhvx

Quantum Computing: • Overview: Explain what quantum computing is in simple terms. Mention that unlike classical computers, which use bits (0s and 1s), quantum computers use qubits, which can exist in multiple states simultaneously due to quantum superposition. • Importance: Emphasize why quantum computing is a game-changer for industries ranging from cryptography to Quantum Supremacy: • Definition: Explain that quantum supremacy is the point where quantum computers can solve problems that are infeasible for classical computers. • Example: Mention Google’s claim in 2019 of achieving quantum supremacy and what it means for the future of computing. Quantum Entanglement: • Overview: Introduce the concept of quantum entanglement, where two qubits become linked and the state of one can instantly affect the state of the other, even at a distance. • Implication: Highlight how this property could lead to ultra-secure communication channels and advancements in quantum networking. Potential Applications: • Cryptography: Discuss how quantum computers could break current encryption methods but also enable quantum-resistant cryptography. • Drug Discovery: Explain how quantum simulations could drastically speed up the discovery of new drugs by modeling molecular interactions at a quantum level. • Optimization Problems: Talk about the potential for quantum computers to solve complex optimization problems in #skct#IoT#computing#Emerging Technologies#IT field@shanmugharaju

Understanding the Role of Quantum Computing in Revolutionizing Technology Quantum computing has the potential to revolutionize technology by leveraging the principles of quantum mechanics. Traditional computers use bits, representing either 0 or 1, while quantum computers use qubits, which can exist in multiple states simultaneously. This enables quantum computers to process vast amounts of information in parallel, solving certain problems much faster than classical computers. Applications include complex simulations, optimization problems, cryptography, and drug discovery. However, challenges like maintaining qubit stability and error correction need to be addressed for widespread practical implementation. One significant advantage of quantum computing is its potential to solve complex problems exponentially faster than classical computers. Quantum computers excel in tackling certain computations, such as factoring large numbers or simulating quantum systems, which are practically intractable for traditional computers. This speedup opens doors to advancements in fields like cryptography, optimization, and scientific research, offering solutions to problems that were previously beyond the reach of classical computing capabilities. A notable disadvantage of quantum computing is its susceptibility to errors due to the delicate nature of quantum states. Quantum bits, or qubits, are sensitive to their environment, leading to a higher probability of errors during calculations. Maintaining the coherence and stability of qubits is a significant challenge, requiring advanced error correction techniques. Additionally, the technology is currently in the early stages of development, and building scalable and reliable quantum computers is a complex task. Overcoming these challenges is crucial for the practical implementation of quantum computing on a large scale. #snsinstitutions #snsdesignthinkers #snsdesignthinking

Quantum Computing Quantum computing represents a paradigm shift in the world of information technology, offering unprecedented computational power and unlocking new possibilities in fields ranging from cryptography to drug discovery. Unlike classical computers, which rely on binary bits to represent information as either 0 or 1, quantum computers leverage quantum bits, or qubits, which can exist in a state of 0, 1, or both simultaneously due to the principles of superposition and entanglement. One of the most promising applications of quantum computing is in the field of cryptography. Quantum computers have the potential to break traditional encryption algorithms, such as RSA and ECC, by exploiting their ability to perform complex calculations exponentially faster than classical computers. As a result, there is a growing interest in developing quantum-resistant cryptographic techniques to safeguard sensitive information in the age of quantum computing. Moreover, quantum computing holds immense promise for solving optimization problems that are intractable for classical computers. From optimizing supply chains and logistics to simulating complex chemical reactions and materials, quantum computers have the potential to revolutionize industries by providing faster and more efficient solutions to real-world problems. Additionally, quantum computing is poised to drive advancements in machine learning and artificial intelligence. Quantum algorithms can enhance pattern recognition, optimization, and data analysis tasks, leading to more accurate predictions and insights from large datasets. This could pave the way for breakthroughs in areas such as drug discovery, financial modeling, and autonomous systems. Despite its tremendous potential, quantum computing is still in its infancy, facing significant technical challenges such as qubit stability, error correction, and scalability. However, rapid progress is being made by researchers and industry leaders worldwide, with major technology companies investing heavily in quantum research and development. #snsct #snsdesignthinkers #designthinking #snsinstitutions

When it comes to quantum computing, there are a lot of myths floating around. Let's set the record straight with some facts! Myth: Quantum computers will replace classical computers entirely. Fact: They're expected to work alongside classical computers, tackling specific problems that are challenging for traditional systems. Myth: Quantum computers are ready for everyday use. Fact: We're still in the early stages, but many promising applications—like drug discovery and optimization—are on the horizon. Myth: Quantum computing is only for tech giants. Fact: Quantum tech is gradually becoming accessible to various industries, opening doors for innovators and entrepreneurs. Myth: All quantum computers are the same. Fact: There are different types, each with unique architectures and purposes, tailored for diverse applications from cryptography to materials science. Excited to see how this groundbreaking technology will change the landscape! 🌍🔍 https://lnkd.in/ehDVzw2v

NYU computer scientist Oded Regev has introduced a significant speed-up to Shor's quantum algorithm for factoring large numbers. As quantum computing continues to develop, Shor's algorithm may prove to be a viable method of breaking commonly used. public-key algorithms. The improvement in Regev's algorithm is significant, with the number of elementary logical steps in the quantum part proportional to n^1.5, compared to n^2 in Shor's original version. Reducing the steps in the quantum part of the process could enhance practical implementation. However, the improvement comes at a cost: Shor's algorithm needs n qubits, while Regev's original version requires n^1.5 qubits for 2,048-bit numbers. Of course, there are other significant quantum-specific issues (such as error handling) that need to be worked out before Shor's algorithm could be used in practice.  #quantum #quantumcomputing #cryptography  https://lnkd.in/gFiwhEZG