quantum-information-computing / Quantum algorithms; exact quantum computation

Exact (zero-error) polynomial-time quantum factoring over a fixed finite gate set

Theorem 1.1: a polynomial-time uniform family of polynomial-size quantum circuits over NOT, CNOT, Toffoli, Hadamard, diag(1,i)\mathrm{diag}(1,i), their inverses and singly controlled versions outputs the complete prime factorization of every N≥2N\ge2 with probability one, with gate and qubit counts polynomial in the bit length. The construction makes the true-order mass of an order trial an exact dyadic rational, then uses one amplitude-amplification step, and handles auxiliary factorizations of p−1p-1 recursively with a deterministic primality test. Not shown: practical resource bounds (the polynomials are large) or any classical algorithm.

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quantum-information-computingSep 25, 2026Significance 25/100Registry: lean checked

Exact (zero-error) polynomial-time quantum factoring over a fixed finite gate set

Prior state unknown→proved

Theorem 1.1: a polynomial-time uniform family of polynomial-size quantum circuits over NOT, CNOT, Toffoli, Hadamard, diag(1,i)\mathrm{diag}(1,i), their inverses and singly controlled versions outputs the complete prime factorization of every N≥2N\ge2 with probability one, with gate and qubit counts polynomial in the bit length. The construction makes the true-order mass of an order trial an exact dyadic rational, then uses…

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Theorem 1.1: a polynomial-time uniform family of polynomial-size quantum circuits over NOT, CNOT, Toffoli, Hadamard, diag(1,i)\mathrm{diag}(1,i), their inverses and singly controlled versions outputs the complete prime factorization of every N≥2N\ge2 with probability one, with gate and qubit counts polynomial in the bit length. The construction makes the true-order mass of an order trial an exact dyadic rational, then uses one amplitude-amplification step, and handles auxiliary factorizations of p−1p-1 recursively with a deterministic primality test. Not shown: practical resource bounds (the polynomials are large) or any classical algorithm.

Theorem 1.1: a polynomial-time uniform family of polynomial-size quantum circuits over NOT, CNOT, Toffoli, Hadamard, diag(1,i)\mathrm{diag}(1,i), their inverses and singly controlled versions outputs the complete prime factorization of every N≥2N\ge2 with probability one, with gate and qubit counts polynomial in the bit length. The construction makes the true-order mass of an order trial an exact dyadic rational, then uses one amplitude-amplification step, and handles auxiliary factorizations of p−1p-1 recursively with a deterministic primality test. Not shown: practical resource bounds (the polynomials are large) or any classical algorithm.

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