NishMath - #algorithms

Quantum computing faces the challenge of demonstrating a consistent advantage over classical computing. Ewin Tang's work on "dequantizing" quantum algorithms has questioned the assumption that quantum computers can always outperform classical ones. Tang designed classical algorithms to match the speed of quantum algorithms in solving certain problems, initiating an approach where researchers seek classical counterparts to quantum computations. This raises fundamental questions about the true potential and future trajectory of quantum computing, especially considering the resources required.

The discussion extends to the costs associated with quantum randomness, exploring pseudorandomness as a practical alternative. Researchers at the University of the Witwatersrand have found a method to shield quantum information from environmental disruptions, which could lead to more stable quantum computers and networks. Despite the potential of quantum computing to revolutionize fields like science, pharmaceuticals, and healthcare, limitations in energy demands and computing power suggest that it will likely be applied selectively to areas where it offers the most significant advantage, rather than replacing classical computing across all applications.


References :

• Quanta Magazine: What Is the True Promise of Quantum Computing?
• Bernard Marr: Quantum Vs. Classical Computing: Understanding Tomorrow's Tech Balance
• Frederic Jacobs: âš›ï¸ An attempt to prove that a quantum algorithm had an exponential speedup compared to classical systems turned out to show that classical computers can solve the recommendation problem nearly as fast as quantum computers. This further reduces the amount of commercially-interesting problems quantum computers are believed to be useful for. Great discussion by with Ewin Tang on that process.
• mstdn.social: An attempt to prove that a quantum algorithm had an exponential speedup compared to classical systems turned out to show that classical computers can solve the recommendation problem nearly as fast as quantum computers.

Classification:

• HashTags: #QuantumComputing #Algorithms #Dequantization
• Company: Quantamagazine
• Target: Algorithms
• Product: Algorithms
• Feature: Dequantizing
• Type: Research
• Severity: Major

A novel quantum algorithm has demonstrated a speedup over classical computers for a significant class of optimization problems, according to a recent report. This breakthrough could represent a major advancement in harnessing the potential of quantum computers, which have long promised faster solutions to complex computational challenges. The new algorithm, known as decoded quantum interferometry (DQI), outperforms all known classical algorithms in finding good solutions to a wide range of optimization problems, which involve searching for the best possible solution from a vast number of choices.

Classical researchers have been struggling to keep up with this quantum advancement. Reports of quantum algorithms often spark excitement, partly because they can offer new perspectives on difficult problems. The DQI algorithm is considered a "breakthrough in quantum algorithms" by Gil Kalai, a mathematician at Reichman University. While quantum computers have generated considerable buzz, it has been challenging to identify specific problems where they can significantly outperform classical machines. This new algorithm demonstrates the potential for quantum computers to excel in optimization tasks, a development that could have broad implications across various fields.


References :

• Quanta Magazine: Quantum computers can answer questions faster than classical machines. A new algorithm appears to do it for some critical optimization tasks.
• medium.com: How Qubits Are Rewriting the Rules of Computation

Classification:

• HashTags: #QuantumComputing #Algorithms #Optimization
• Company: Quantamagazine
• Target: Optimization
• Product: Algorithm
• Feature: Algorithm
• Type: Research
• Severity: Major