The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) has become integral to our daily lives, from virtual assistants ...

Founded in 1969, under the auspices of the National Academy of Sciences at the request of the U.S. Government, USRA is a nonprofit corporation chartered to advance space-related science, technology, ...

This quantum output was mixed with the original image data and analyzed using a simple linear classifier. This hybrid strategy maintained information while outperforming all similarly sized machine ...

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 ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Quantum Circuits, Inc., announced its latest integration with NVIDIA's hybrid quantum-classical platform, NVIDIA CUDA-Q, ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

Scheduled for commercial availability by Q3 2026, the Kaveri chip is expected to power applications in cryptography, machine learning, optimisation and advanced simulations.

Google's implementation of the Quantum Echoes algorithm involves sending a signal into the qubits on the Willow chip, perturbing a single qubit, sending the same signal in reverse, then measuring the ...