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 ...

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 ...

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 ...

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 ...

Overview Quantum systems evaluate countless supply chain variables simultaneously, helping organizations solve complex ...

IQM Quantum Computers, the global leader in superconducting quantum computers, has developed a novel quantum error-correcting ...

Randomness is essential to some research, but it’s always been prohibitively complicated to achieve. Now, we can use “pseudorandomness” instead. Nothing is certain in the quantum realm. A particle, ...

A mysterious magnetic material once thought to host an exotic “quantum spin liquid” has turned out to be something entirely different—and possibly just as intriguing. Scientists studying cerium ...