The ambition of harnessing the quantum for computation is at odds with the fundamental
phenomenon of decoherence. The purpose of quantum error correction (QEC) is to …

The quantum circuit model is an abstraction that hides the underlying physical
implementation of gates and measurements on a quantum computer. For precise control of …

Improving the speed and fidelity of quantum logic gates is essential to reach quantum
advantage with future quantum computers. However, fast logic gates lead to increased …

The development of robust architectures capable of large-scale fault-tolerant quantum
computation should consider both their quantum error-correcting codes and the underlying …

Quantum computers promise tremendous impact across applications—and have shown
great strides in hardware engineering—but remain notoriously error prone. Careful design of …

Model bias is an inherent limitation of the current dominant approach to optimal quantum
control, which relies on a system simulation for optimization of control policies. To overcome …

The review elucidates recent advances in the development of superconducting qubits and
quantum circuits designed for a new generation of quantum processors. It primarily focuses …

We show a pulse-efficient circuit transpilation framework for noisy quantum hardware. This is
achieved by scaling cross-resonance pulses and exposing each pulse as a gate to remove …

We present and analyze a quantum algorithm to estimate credit risk more efficiently than
Monte Carlo simulations can do on classical computers. More precisely, we estimate the …

Coupling a resonator to a superconducting qubit enables various operations on the qubit,
including dispersive readout and unconditional reset. The speed of these operations is …