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Counting Qubits and Gates: Resource Analysis in Quantum Programming Languages
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Abstract
Quantum computing has the potential to revolutionize subfields of computer
science such as cryptography and optimization by providing efficient solutions
to problems currently considered intractable classically speaking. However, as
is well known, today’s quantum hardware remains limited by noise, short
coherence times, and low qubit counts, making the realization of this potential
still a distant goal. In this context, estimating the resources required to
execute quantum programs, such as the number of qubits and quantum gates, is of
paramount importance. In this talk, we will provide an overview of the emerging
research area of quantum resource analysis, beginning with an introduction to
quantum programming languages, followed by a discussion of seve
al approaches to
resource analysis of quantum programs, without aiming for an exhaustive survey.