The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum ...

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 ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

Shawna Rowe, Okcoin Europe Limited and Binance Holdings Ltd Blockchain technology has not been in stasis. Since the launch of ...

Defiance ETFs, a pioneer in thematic investing, today announced that its Defiance Quantum Computing ETF (QTUM) has surpassed $3 billion in assets under management (AUM), underscoring the accelerating ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

Welcome to another biweekly update on all things quantum computing. Today’s piece is truly dominated by Nvidia’s ($NVDA) ...

While artificial intelligence dominates today's tech headlines, a quieter, more profound revolution is brewing in ...

Telstra and Silicon Quantum Computing (SQC) have reported encouraging results from a year-long collaboration aimed at applying quantum technology to one of the telecommunications ...

Once fault tolerance is solved, IBM expects to scale its quantum computers up to 2000 quantum bits in 2033 and beyond. The ...