This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms.

For the first time, an international team of scientists has experimentally simulated spontaneous symmetry breaking (SSB) at zero temperature using a superconducting quantum processor. This achievement ...

A team of researchers is suggesting that computing the state of a random quantum circuit that exhibits chaotic behavior would be perfect for the task. Let’s delve into why that might be.

An international team of scientists from China and the U.S. has developed a scalable protocol for high-fidelity quantum state transfer (QST) in a 36-qubit superconducting quantum circuit.

Quantum simulators offer a test bed to emulate physical phenomena that are difficult to reproduce numerically. Using a multi-element superconducting quantum circuit, Chen et al.emulate weak ...

For decades, quantum computers that perform calculations millions of times faster than conventional computers have remained a ...

State of the Art Quantum Chemistry on IonQ Trapped Ion. Quantum computation has attracted significant attention for its potential to solve certain computational problems more efficiently than with ...

It serves as an unambiguous test for quantum scrambling, says the JQI team. If information is successfully teleported from one atom to another across the quantum circuit, it means that the state of ...

In contrast, quantum computers store information in qubits that can be in a strange state where they are both on and off at the same time. This allows a quantum computer to explore the answers to ...

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 ...