Trapped ions offer long coherence times and high fidelity, programmable quantum
operations, making them a promising platform for quantum simulation of condensed matter …

We describe and benchmark a new quantum charge-coupled device (QCCD) trapped-ion
quantum computer based on a linear trap with periodic boundary conditions, which …

Midcircuit operations, such as qubit state measurement or reset, are central to many tasks in
quantum information science, including quantum computing, entanglement generation, and …

Quantum systems subject to driving and dissipation display distinctive non-equilibrium
phenomena relevant to condensed matter, quantum optics, metrology and quantum error …

We introduce a comprehensive quantum solver for binary combinatorial optimization
problems on gate-model quantum computers that outperforms any published alternative and …

The Vehicle Routing Problem (VRP) is a crucial combinatorial optimization problem in
transportation, logistics, and supply chain management. Quantum computing has gained …

Measurement-induced state disturbance is a major challenge in obtaining quantum statistics
at multiple time points. We propose a method to extract dynamic information from a quantum …

Quantum measurement is important to quantum computing as it extracts the outcome of the
circuit at the end of the computation. Previously, all measurements have to be done at the …

Although quantum mechanics underpins the microscopic behavior of all materials, its effects
are often obscured at the macroscopic level by thermal fluctuations. A notable exception is a …

A limited number of qubits, high error rates, and limited qubit connectivity are major
challenges for effective near-term quantum computations. Quantum circuit partitioning …