HOLO first carefully selects high-quality quantum bits and employs advanced ion trapping technology to construct a stable and reliable quantum bit system within the quantum processor. Ion trapping ...

Tensor network methods provide a structured approach to representing and manipulating high-dimensional data by decomposing global information into interconnected low-rank tensors. Originating in the ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach ...

The central selling point of qubit-based quantum processors is that they can supposedly solve certain types of tasks much faster than a classical computer. This comes however with the major ...

Quantum distance refers to a measure of quantum mechanical similarity between two quantum states. A quantum distance of one means that the two quantum states are the same, whereas a quantum distance ...

(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...

Two RIKEN physicists have established new theoretical limits for experimentally measurable quantities by viewing solids ...

Alena Tensor completely reverses this approach. It is much easier now to describe gravity in flat space-time in a way that mathematically reproduces general relativity and then uses the known tools of ...

Trinity College Dublin is at the centre of a burgeoning quantum ecosystem in Ireland, and students on Trinity’s MSc Quantum ...

Scientists achieve the first direct measurement of the quantum metric tensor in black phosphorus, advancing understanding of quantum states in solid materials. (Nanowerk News) Quantum distance refers ...