Machine learning (ML) has emerged as a formidable force for identifying hidden but
pertinent patterns within a given data set with the objective of subsequent generation of …

Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …

We improve the quality of quantum circuits on superconducting quantum computing
systems, as measured by the quantum volume (QV), with a combination of dynamical …

Quantum state preparation is an important subroutine for quantum computing. We show that
any n-qubit quantum state can be prepared with a Θ (n)-depth circuit using only single-and …

We introduce a single-number metric, quantum volume, that can be measured using a
concrete protocol on near-term quantum computers of modest size (n≲ 50), and measure it …

The Quantum Approximate Optimization Algorithm (QAOA) is a promising approach for
programming a near-term gate-based hybrid quantum computer to find good approximate …

Parameterized quantum circuits are a promising technology for achieving a quantum
advantage. An important application is the variational simulation of time evolution of …

We develop an extension of the variational quantum eigensolver (VQE) algorithm—
multistate contracted VQE (MC-VQE)—that allows for the efficient computation of the …

The pressure of fundamental limits on classical computation and the promise of exponential
speedups from quantum effects have recently brought quantum circuits to the attention of the …

Near-term applications of quantum information processors will rely on optimized circuit
implementations to minimize the circuit depth, reducing the negative impact of gate errors in …