Quantum computers have the potential of outperforming classical computers on some optimization and computational tasks. Compared to classical systems, however, quantum systems are more prone to errors, as they are more sensitive to noise and prone to so-called...
One of the key goals within the field of quantum computing is to achieve what is known as a quantum advantage. This term essentially describes the point after which a quantum computer can outperform a classical computer on a specific task or solve a problem that is...
Quantum computers have the potential of outperforming classical computers on some optimization tasks. Yet scaling up quantum computers leveraging existing fabrication processes while also maintaining good performances and energy-efficiencies has so far proved...
Phonons, the quantum mechanical vibrations of atoms in solids, are often sources of noise in solid-state quantum systems, including quantum technologies, which can lead to decoherence and thus adversely impact their performance.
To develop scalable and reliable quantum computers, engineers and physicists will need to devise effective strategies to mitigate errors in their quantum systems without adding complex additional components. A promising strategy to reduce errors entails the use of...
The operation and performance of quantum computers relies on the ability to realize and control entanglement between multiple qubits. Yet entanglement between many qubits is inherently susceptible to noise and imperfections in quantum gates.
Quantum computing holds the promise of outperforming classical computing on some optimization and data processing tasks. The creation of highly performing large-scale quantum computers, however, relies on the ability to support controlled interactions between qubits,...
Understanding and reliably measuring the geometric properties of quantum states can shed new light on the intricate underpinning of various physical phenomena. The quantum geometric tensor (QGT) is a mathematical object that provides a detailed description of how...
Simple machine learning techniques can cut costs for quantum error mitigation while maintaining accuracy
Spontaneous parametric down-conversion (SPDC) and spontaneous four-wave mixing are powerful nonlinear optical processes that can produce multi-photon beams of light with unique quantum properties. These processes could be leveraged to create various quantum...