aiqbench analysis
This paper presents a classical software framework for simulating quantum circuits by propagating Pauli and Majorana operators, with a new indexing method that reportedly lowers per-gate cost as system size grows. Its benchmarks, including scaling to 8192 cores and about 10^11 tracked terms, are numerical and specific to this framework, so readers should check them against other simulation tools. For quantum computing readers, the practical relevance is faster classical estimation of energies and gradients for adaptive quantum-chemistry circuits, not a hardware advance.
monoprop: Scaling Pauli and Majorana propagation via Anticommutation Indices
arXiv:2610.21000v1 Announce Type: new Abstract: We introduce monoprop, an open-source, massively parallel operator-propagation framework for fermion and qubit bases. For $N$ qubits or modes, existing codes represent each of the $K$ tracked operator terms (Pauli strings or products of Majorana operators) as a $2N$-bit string, testing each for anticommutation with the gate at $O(KN)$ cost per gate. Here, we introduce the anticommutation index which rapidly looks up the terms anticommuting with a gate. A local gate changes only the terms that touch its sites, and when terms are truncated to act on few sites, only a fraction $\sim1/N$ touch any given qubit or mode, and we use this to prove the time per gate scales as $O(K/N)$. This counterintuitive result tells us that for a fixed number of terms, increasing the number of sites can make things faster. We demonstrate this numerically, and show monoprop scales almost ideally to 8192 cores, tracking $9.5\times10^{10}$ terms. Beyond propagation, we present memory-efficient surrogate graphs, which record one propagation and replay it at new angles, for fast energy re-estimation and parameter gradients, and an efficient method for finding energy-minimising gates and optimal angles for simulating adaptive quantum-chemistry circuits.
Abstract:We introduce monoprop, an open-source, massively parallel operator-propagation framework for fermion and qubit bases. For $N$ qubits or modes, existing codes represent each of the $K$ tracked operator terms (Pauli strings or products of Majorana operators) as a $2N$-bit string, testing each for anticommutation with the gate at $O(KN)$ cost per gate. Here, we introduce the anticommutation index which rapidly looks up the terms anticommuting with a gate. A local gate changes only the terms that touch its sites, and when terms are truncated to act on few sites, only a fraction $\sim1/N$ touch any given qubit or mode, and we use this to prove the time per gate scales as $O(K/N)$. This counterintuitive result tells us that for a fixed number of terms, increasing the number of sites can make things faster. We demonstrate this numerically, and show monoprop scales almost ideally to 8192 cores, tracking $9.5\times10^{10}$ terms. Beyond propagation, we present memory-efficient surrogate graphs, which record one propagation and replay it at new angles, for fast energy re-estimation and parameter gradients, and an efficient method for finding energy-minimising gates and optimal angles for simulating adaptive quantum-chemistry circuits.
Quantum Physics (quant-ph); Strongly Correlated Electrons (cond-mat.str-el)
arXiv:2610.21000 [quant-ph]
(or arXiv:2610.21000v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.21000 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 287 words
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