Quantum Brain
← Back to papers

Hard-core Bosons in Action: Applications to Quantum Circuits

David Emmanuel-Costa, Michael Epping·June 26, 2026
Quantum Physics

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

The use of algebraic frameworks based on complex Clifford algebras for the representation and simulation of quantum circuits has been discussed in the literature. Recently, an alternative algebraic approach employing hard-core bosons has been proposed. Hard-core bosons provide a natural representation of multi-qubit systems, in which the tensor-product structure is realized directly and no sign corrections are required, in contrast to realizations based on complex Clifford algebras. Although both approaches are formally equivalent, the hard-core boson formulation exhibits computational advantages. This work reviews and extends the hard-core boson algebra for circuit simulation and presents an efficient implementation. A performance comparison with IBM Qiskit shows substantially improved execution times for simulations. Moreover, a new application is introduced in which the hard-core boson formalism is combined with genetic algorithms for quantum circuit synthesis.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.