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arxiv: 2212.12372 · v1 · pith:ASYEWXYNnew · submitted 2022-12-23 · 🪐 quant-ph

Factoring integers with sublinear resources on a superconducting quantum processor

classification 🪐 quant-ph
keywords algorithmquantumqubitsintegerintegerscurrentfactoringfactorization
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Shor's algorithm has seriously challenged information security based on public key cryptosystems. However, to break the widely used RSA-2048 scheme, one needs millions of physical qubits, which is far beyond current technical capabilities. Here, we report a universal quantum algorithm for integer factorization by combining the classical lattice reduction with a quantum approximate optimization algorithm (QAOA). The number of qubits required is O(logN/loglog N), which is sublinear in the bit length of the integer $N$, making it the most qubit-saving factorization algorithm to date. We demonstrate the algorithm experimentally by factoring integers up to 48 bits with 10 superconducting qubits, the largest integer factored on a quantum device. We estimate that a quantum circuit with 372 physical qubits and a depth of thousands is necessary to challenge RSA-2048 using our algorithm. Our study shows great promise in expediting the application of current noisy quantum computers, and paves the way to factor large integers of realistic cryptographic significance.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Resource-efficient parallel entanglement generation for multinode quantum networks via time-bin multiplexing

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    A time-bin multiplexing protocol generates parallel multipartite entanglement among N quantum nodes using a photon whose time-bin dimension stays independent of N.

  2. Efficient Quantum Oracle for Solving Bilinear Diophantine Equations on Digital Quantum Computers

    physics.gen-ph 2023-12 unverdicted novelty 5.0

    Presents a concrete quantum oracle for bilinear Diophantine equations enabling factoring of n-bit biprimes with 2n-5 qubits or fewer and near-100% simulated success for numbers up to 35 bits.