Quantum computers have demonstrable ability to solve problems at a scale beyond brute-
force classical simulation. Interest in quantum algorithms has developed in many areas …

We present an industrial end-user perspective on the current state of quantum computing
hardware for one specific technological approach, the neutral atom platform. Our aim is to …

The rapid pace of development in quantum computing technology has sparked a
proliferation of benchmarks to assess the performance of quantum computing hardware and …

Combinatorial optimization is anticipated to be one of the primary use cases for quantum
computation in the coming years. The Quantum Approximate Optimization Algorithm and …

Quantum software tools for a wide variety of design tasks on and across different levels of
abstraction are crucial in order to eventually realize useful quantum applications. This …

Recent advances in quantum computers are demonstrating the ability to solve problems at a
scale beyond brute force classical simulation. As such, a widespread interest in quantum …

As quantum processors grow, new performance benchmarks are required to capture the full
quality of the devices at scale. While quantum volume is an excellent benchmark, it focuses …

We present the NVIDIA cuQuantum SDK [1], a state-of-the-art library of composable
primitives for GPU-accelerated quantum circuit simulations. As the size of quantum devices …

In order to characterize and benchmark computational hardware, software, and algorithms, it
is essential to have many problem instances on-hand. This is no less true for quantum …

We propose and analyze the use of Bayesian optimization techniques to design quantum
annealing schedules with minimal user and resource requirements. We showcase our …