The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these ...

SC18におけるSCベンダーフォーラムでAtosは「Quantum Learning Machine(QLM)」のプレゼンテーションを行った。Atosは、日本では余りなじみがない会社であるが、売り上げ規模は15兆円というフランスの巨大IT企業で、現在ではBullもAtosグループ傘下の会社となっている。

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

Researchers from Tel Aviv University have developed a new method for simulating complex quantum systems that can be combined with cutting edge AI techniques The density of 6 fermions in a 2D harmonic ...

Ever wonder what will happen when exabyte data stores are the norm, and even the parallelism of Hadoop can no longer provide the necessary processing power to address the data deluge? Quantum ...

TFQ integrates the framework ' Cirq ' developed by Google for the quantum processor ' NISQ ' with quantum noise into the existing TensorFlow library. Quantum computing compatible with the existing ...