Development of quantum hardware has accelerated in recent years and quantum systems with tens of qubits and error rates in the 10-2 range are now reliable and accessible. The trajectory of this development begs the question: how can we make near term systems useful without quantum error correction? The answer is that we need new and diverse advancements in theory, software, and hardware to allow us to approach ever harder problems. This talk will focus in particular on using classical resources to augment the capabilities of today’s quantum hardware, whether through classical post processing techniques or classical computations within a quantum experiment. I will discuss recent work performed on IBM Quantum systems to demonstrate error mitigation, benchmarking techniques for measuring progress, and strategies for extending the range of accessible applications.