Quantum Advantage in Resource Estimation
William A. Simon, Peter J. Love

TL;DR
This paper presents a quantum algorithm that significantly reduces the runtime for estimating resources of large quantum algorithms, potentially demonstrating practical quantum advantage in resource estimation tasks.
Contribution
The authors introduce a quantum algorithm for measuring simulation errors that drastically reduces runtimes, enabling feasible resource estimation for large quantum systems.
Findings
Reduces quantum algorithm runtimes by ~1000x for 100-qubit systems
Method requires few qubits and operations, suitable for near-term quantum computers
Potential to demonstrate practical quantum advantage in resource estimation
Abstract
Quantum computing promises the ability to compute properties of quantum systems exponentially faster than classical computers. Quantum advantage is achieved when a practical problem is solved more efficiently on a quantum computer than on a classical computer. Demonstrating quantum advantage requires a powerful quantum computer with low error rates and an efficient quantum algorithm that has a useful application. Despite rapid progress in hardware development, we still lack useful applications that are feasible for the next generation of quantum computers. Here we argue that an exponential quantum advantage exists in producing numerical resource estimates of larger quantum algorithms by accurately measuring simulation errors. We provide a quantum algorithm for measuring simulation errors of Trotter-based algorithms. Our results indicate that this method will reduce runtimes of quantum…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum-Dot Cellular Automata
