Argonne launches silicon quantum processor collaboration with Intel

article here: https://www.anl.gov/article/argonne-launches-silicon-quantum-processor-collaboration-with-intel Quantum algorithms have been a hot topic in the scientific community, with several breakthroughs and potential applications on the horizon. Here are some of the latest advancements and insights from Redditors: Shor's Algorithm: This algorithm is famous for its potential to break RSA encryption, a cornerstone of modern cryptography. "Shor’s algorithm feels like an even more complex, unique, and fortuitous application we can look at and say 'bingo!'" Grover's Algorithm: Designed for unstructured search problems, it offers a quadratic speedup over classical algorithms. "Grover's does not clearly have an application. Its quadratic query improvement only holds for completely unstructured problems of which we have very few." Quantum Singular Value Transform (QSVT) and Quantum Signal Processing (QSP): These are recent advancements aimed at creating a unified framework for quantum algorithms. "Recently there have been several advances towards making a unified framework for quantum algorithms called Quantum Singular Value Transform (QSVT) and Quantum Signal Processing (QSP)." Quantum Chemistry and Materials Science: Quantum algorithms can simulate complex molecular structures, which is crucial for drug discovery and materials design. "The Hamiltonian simulation family of algorithms (Suzuki Trotter to begin with) which have direct applications to quantum chemistry, drug discovery and materials discovery among others." Optimization and Machine Learning: Quantum computing can potentially revolutionize these fields by solving complex optimization problems and enhancing machine learning models. "The promise of advancing AI, help to model atom, accurate protein folding simulator, accurate alloy simulator, energy and sci-fi technology..." High-Energy Physics: Quantum simulations can help in understanding fundamental particles and forces. "We may finally have a practical way to do complicated non-perturbative calculations in quantum field theories that are basically totally intractable right now." Google's Quantum Echoes: This breakthrough in verifiable quantum advantage has potential applications in drug discovery and material science. "Google claims its latest quantum algorithm can outperform supercomputers on a real-world task." Microsoft's Majorana Particles: Creating stable Majorana particles is a significant step towards building fault-tolerant quantum computers. "The breakthrough here was creating the quasi Majorana particle and keeping them stable." Noise and Error Rates: Current quantum computers are noisy and error-prone, limiting their practical use. "The common term for current systems is NISQ devices (Noisy Intermediate-Scale Quantum). They are nothing but experimental testbeds and have little to nothing in common with the idea of a general-purpose computer." Practical Applications: Despite the theoretical potential, practical applications are still scarce. "No practical applications yet, unfortunately. People have used quantum computers for some things but it is all just PR, it costs a lot more than just doing it on a regular computer at the moment." Fault-Tolerant Quantum Computing: Developing stable and reliable qubits is a key goal. "Groundbreaking in quantum computing means making qubits stable, scalable, or useful: fault-tolerant qubits, error-corrected machines, solving real-world problems classical computers can’t, breaking current crypto, or enabling quantum networking." Quantum Machine Learning: While currently limited, future breakthroughs could make quantum machine learning a powerful tool. "QML is mostly snake oil created by people who like to smash buzzwords together in order to sound smart." For more discussions and insights, consider visiting these subreddits: r/QuantumComputing r/Physics r/technology Create your account and connect with a world of communities. Anyone can view, post, and comment to this community