Please briefly describe your current research. My team aims to solve the most important unsolved problems in the field of quantum information. To do this, I look at Hamiltonian complexity. The ...

Numerical integration is a classical and important problem with a wide range of applications in many fields of physics, chemistry, biology, computer and finance 1,2,3. However, existing classical ...

Understanding the quantum control landscape (QCL) is important for designing effective quantum control strategies. In this study, we analyze the QCL for a single two-level quantum system (qubit) using ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

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 ...

It has demonstrated the powerful ability of a quantum computer to perform certain computational tasks more efficiently than a classical computer. Thus, to show quantum advantages is a key problem in ...

Many physicists and engineers have recently been trying to demonstrate the potential of quantum computers for tackling some problems that are particularly demanding and are difficult to solve for ...

In quantum mechanics, particles can exist in multiple states at the same time, defying the logic of everyday experiences. This property, known as quantum superposition, is the basis for emerging ...

Image courtesy by QUE.com The intersection of Quantum Computing (QC) and Artificial Intelligence (AI) represents one of the ...

In a breakthrough that signals a pivotal coming-of-age for quantum technology, artificial intelligence is now being used to grasp and characterize the vast complexity of quantum systems—transforming ...