Quantum Computing Inc. develops software designed to connect emerging quantum processors with real-world enterprise applications. After Anson Funds exited its position, the focus now shifts to whether ...

New hybrid quantum applications show quantum computing’s ability to optimize materials science properties using Quantum-Enhanced Generative Adversarial Networks (QGANs) and fine-tune LLM models using ...

For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key milestone toward demonstrating the advantages of quantum methods over ...

Amaravati, the under-construction capital of Andhra Pradesh, is preparing to host what could become one of the most ...

This Collection supports and amplifies research related to SDG 8 and SDG 9. This year marks the centennial celebration of the initial development of quantum mechanics, a milestone that has profoundly ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

What advancements can be made to quantum computers that will allow them to surpass traditional computers in performing difficult tasks like problem-solving? This is what a five-year, $5 million grant ...

This article, prepared in conjunction with AFCEA’s Technology Committee, is the second in a series of three articles addressing quantum computing. The inaugural article, "The Current State of Quantum ...

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 ...

In their simulated system, image data is first simplified using a process called principal component analysis (PCA), which reduces the amount of information while preserving key features. A complex ...