Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …

A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

Faster algorithms for combinatorial optimization could prove transformative for diverse areas
such as logistics, finance and machine learning. Accordingly, the possibility of quantum …

High-quality two-qubit gate operations are crucial for scalable quantum information
processing. Often, the gate fidelity is compromised when the system becomes more …

Realizing the potential of near-term quantum computers to solve industry-relevant
constrained-optimization problems is a promising path to quantum advantage. In this work …

The last decade has witnessed remarkable progress in the development of quantum
technologies. Although fault-tolerant devices likely remain years away, the noisy …

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 benchmark the quantum processing units of the largest quantum annealers to date, the
5000+ qubit quantum annealer Advantage and its 2000+ qubit predecessor D-Wave 2000Q …

We have integrated single and coupled superconducting transmon qubits into flip-chip
modules. Each module consists of two chips—one quantum chip and one control chip—that …

Smart logistics and supply chain play can determine the success or failure of any business.
The cost, time, and carbon footprint are critical elements to be considered. Smart logistics …