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This research introduces "quantum catalysts" that enable one-shot resource distillation with constant overhead, effectively bypassing the traditional logarithmic lower bound for practical quantum computation. By solving the diverging batch size problem in magic state distillation, the method offers a tunable trade-off between protocol size and success probability, which is critical for scaling fault-tolerant quantum hardware. The work also extends these catalytic techniques to dynamical resources, providing new insights into channel mutual information and information theory within the quantum domain.
One-shot distillation with constant overhead using catalysts
arXiv:2410.14547v3 Announce Type: replace Abstract: Quantum resource distillation is a fundamental task in quantum information science and technology. Minimizing the overhead of distillation is crucial for the realization of quantum computation and other technologies. Here we explicitly demonstrate how, for general quantum resources, suitably designed quantum catalysts (i.e., auxiliary systems that remain unchanged before and after the process) enable distillation with constant overhead in the practical one-shot setting, thereby overcoming the established logarithmic lower bound for one-shot distillation overhead. In particular, for magic state distillation, our catalysis method paves a path for tackling the diverging batch size problem associated with code-based low-overhead protocols by enabling arbitrary reduction of the protocol size for any desired accuracy. Notably, this yields constant-overhead magic state distillation with controllable protocol size. Furthermore, we demonstrate a tunable spacetime trade-off between overhead and success probability enabled by catalysts which offers significant versatility for practical implementation. Finally, we extend catalysis techniques to dynamical quantum resources and show that channel mutual information determines one-shot catalytic channel transformation, thereby advancing our understanding for both dynamical catalysis and information theory.
Abstract:Quantum resource distillation is a fundamental task in quantum information science and technology. Minimizing the overhead of distillation is crucial for the realization of quantum computation and other technologies. Here we explicitly demonstrate how, for general quantum resources, suitably designed quantum catalysts (i.e., auxiliary systems that remain unchanged before and after the process) enable distillation with constant overhead in the practical one-shot setting, thereby overcoming the established logarithmic lower bound for one-shot distillation overhead. In particular, for magic state distillation, our catalysis method paves a path for tackling the diverging batch size problem associated with code-based low-overhead protocols by enabling arbitrary reduction of the protocol size for any desired accuracy. Notably, this yields constant-overhead magic state distillation with controllable protocol size. Furthermore, we demonstrate a tunable spacetime trade-off between overhead and success probability enabled by catalysts which offers significant versatility for practical implementation. Finally, we extend catalysis techniques to dynamical quantum resources and show that channel mutual information determines one-shot catalytic channel transformation, thereby advancing our understanding for both dynamical catalysis and information theory.
Quantum Physics (quant-ph); Information Theory (cs.IT)
arXiv:2410.14547 [quant-ph]
(or arXiv:2410.14547v3 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2410.14547 Focus to learn more arXiv-issued DOI via DataCite
https://doi.org/10.1038/s41467-026-72686-0 Focus to learn more DOI(s) linking to related resources
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