aiqbench analysis
This paper proposes a scalable, passive blueprint for physical QRAM operations, achieving polylogarithmic energy costs per query through a time-independent Hamiltonian evolution. By limiting qubit participation to at most four terms, the construction demonstrates that large-scale quantum memory access is theoretically feasible with minimal energetic overhead. This advancement addresses a critical bottleneck in quantum algorithms by offering an efficient hardware architecture for data loading.
Scalable Passive QRAM
arXiv:2610.03700v1 Announce Type: new Abstract: We present a blueprint for implementing the physical QRAM operation in a scalable, passive manner, proving its feasibility in principle. Our construction is passive because for an $n$-qubit address over $N = 2^n$ memory bits the energy cost per QRAM query is $O(\log N)$, and to our knowledge it is the first construction to use $\operatorname{polylog} N$ energy. The runtime for each query is $O(\log^2 N)$. It is achieved by evolving a pre-manufactured time-independent 4-local Hamiltonian with $O(N)$ terms where every qubit participates in at most 4 terms.
Abstract:We present a blueprint for implementing the physical QRAM operation in a scalable, passive manner, proving its feasibility in principle. Our construction is passive because for an $n$-qubit address over $N = 2^n$ memory bits the energy cost per QRAM query is $O(\log N)$, and to our knowledge it is the first construction to use $\operatorname{polylog} N$ energy. The runtime for each query is $O(\log^2 N)$. It is achieved by evolving a pre-manufactured time-independent 4-local Hamiltonian with $O(N)$ terms where every qubit participates in at most 4 terms.
arXiv:2610.03700 [quant-ph]
(or arXiv:2610.03700v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.03700 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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