Quantum optimal control, a toolbox for devising and implementing the shapes of external
fields that accomplish given tasks in the operation of a quantum device in the best way …

Simulating the quantum dynamics of molecules in the condensed phase represents a
longstanding challenge in chemistry. Trapped-ion quantum systems may serve as a platform …

Crosstalk between target and neighboring spectator qubits due to spillover of control signals
represents a major error source limiting the fidelity of two-qubit entangling gates in quantum …

Variational quantum algorithms (VQAs) are promising methods to demonstrate quantum
advantage on near-term devices as the required resources are divided between a quantum …

High-fidelity two-qubit gates in quantum computers are often hampered by fluctuating
experimental parameters. The effects of time-varying parameter fluctuations lead to coherent …

Coherent gate errors are a concern in many proposed quantum-computing architectures.
Here, we show that certain coherent errors can be reduced by a local optimization that …

Near-term quantum algorithms require high-performance entangling gates in a scalable
quantum processor, and Mølmer-Sørensen (MS) gates on trapped ions have achieved some …

Variational quantum eigensolvers (VQEs) are leading candidates to demonstrate near-term
quantum advantage. Here, we conduct density-matrix simulations of leading gate-based …

Entangling gates are an essential component of quantum computers. However, generating
high-fidelity gates, in a scalable manner, remains a major challenge in all quantum …

In trapped-ion quantum computers, two-qubit entangling gates are generated by applying
spin-dependent force which uses phonons to mediate interaction between the internal states …