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Fast quantum integer multiplication with zero ancillas
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abstract
The multiplication of superpositions of numbers is a core operation in many quantum algorithms. The standard method for multiplication (both classical and quantum) has a runtime quadratic in the size of the inputs. Quantum circuits with asymptotically fewer gates have been developed, but generally exhibit large overheads, especially in the number of ancilla qubits. In this work, we introduce a new paradigm for sub-quadratic-time quantum multiplication with zero ancilla qubits -- the only qubits involved are the input and output registers themselves. Our algorithm achieves an asymptotic gate count of $\mathcal{O}(n^{1+\epsilon})$ for any $\epsilon > 0$; with practical choices of parameters, we expect scalings as low as $\mathcal{O}(n^{1.3})$. Used as a subroutine in Shor's algorithm, our technique immediately yields a factoring circuit with $\mathcal{O}(n^{2+\epsilon})$ gates and only $2n + \mathcal{O}(\log n)$ qubits; to our knowledge, this is by far the best qubit count of any factoring circuit with a sub-cubic number of gates. Used in Regev's recent factoring algorithm, the gate count is $\mathcal{O}(n^{1.5+\epsilon})$. Finally, we demonstrate that our algorithm has the potential to outperform previous proposals at problem sizes relevant in practice, including yielding the smallest circuits we know of for classically-verifiable quantum advantage.
Forward citations
Cited by 4 Pith papers
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Parallel Spooky Pebbling Makes Regev Factoring More Practical
Parallel spooky pebbling reduces Regev factoring multiplication depth to 193 for 4096-bit N, beating prior Regev variants while remaining space-heavier than Shor.
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A Quantum Algorithm with Polylogarithmic Depth per Trotter Step for the Extended Hubbard Model
Q2FMM approximates the 1/r interaction of the Hubbard model with hierarchical box-box interactions and evaluates the phases with quantum arithmetic, achieving polylogarithmic Trotter-step depth on hardware with shuttling.
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Implementation and Analysis of Regev's Quantum Factorization Algorithm
A new implementation of Regev's quantum factoring algorithm runs slower than Shor's on small numbers and only beats Shor's effectiveness for selected inputs after per-number parameter tuning.
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Strategic Plan for Neutral Atom Quantum Computation
If qubit-count growth (~1.8x/yr) and gate-error reduction (~0.62x/yr) continue, neutral-atom quantum computers could reach practical quantum advantage within a decade, this roadmap projects.
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