Linear-size exact quantum Fourier transform

Unsolved ID op_3b3bfcda365a83a9 Last edited 16 September 2026
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Problem

Can the exact quantum Fourier transform on \(n\) qubits be implemented with \(O(n)\) one- and two-qubit gates?

Define

\begin{equation} F_{2^n}|x\rangle=2^{-n/2}\sum_{y=0}^{2^n-1}e^{2\pi ixy/2^n}|y\rangle. \tag{1} \end{equation}

Let \(C_{\mathrm{exact}}(n)\) be the minimum size of a uniform circuit that implements the unitary in Eq. (1) exactly on arbitrary inputs. Gates may be arbitrary efficiently specified one- or two-qubit unitaries; clean ancillas may be used but must be restored, and all gates on them count. Is

\begin{equation} C_{\mathrm{exact}}(n)=O(n)? \tag{2} \end{equation}

The target in Eq. (2) concerns exact coherent implementation, not approximate QFT or sampling only.

Source

Aaronson explicitly asks the linear-size exact-QFT question in the cited author-written discussion [Aaronson25]. Cleve and Watrous and Kahanamoku–Meyer and Yao supply the formal circuit results [Cleve00][KMY24].

Progress

  • Cleve and Watrous obtained an exact QFT of size \(O(n\log^2 n\log\log n)\) in 2000, together with efficient approximate parallel constructions. Their exact construction uses recursive Fourier transforms and fast multiplication. Thus a subquadratic exact QFT has long been known. [Cleve00]

  • Kahanamoku–Meyer and Yao subsequently constructed zero-ancilla exact QFT circuits of size \(O\!\left(n^{\log_k(2k-1)}\right)\) for every fixed integer \(k\geq2\). Since \(\log_k(2k-1)\) approaches \(1\) as \(k\) grows, this gives size \(O(n^{1+\varepsilon})\) for every fixed \(\varepsilon>0\). It does not give a single uniform \(O(n)\) construction. [KMY24]

  • Aaronson explicitly raised the \(O(n)\) exact-size question in January 2025. The construction above improves the upper bound for zero-ancilla exact QFT, but the linear target remains unresolved. [Aaronson25]

  • Shah withdrew A Faster Quantum Fourier Transform in February 2025 because of lack of novelty. The withdrawal does not bear on whether linear exact size is possible. [Shah25]

  • Fault-tolerant and architectural results use different metrics. Nam, Su, and Maslov obtained an approximate QFT with \(O(n\log n)\) \(T\) gates, while Lopes studies QFT execution using phase-gradient resources, surface codes, and resource routing. Neither establishes linear exact coherent circuit size in the model above. [Nam20][Lopes26]

Comment

This is a literature-explicit circuit-complexity question. The known exact upper bound is \(O(n^{1+\varepsilon})\) for every fixed \(\varepsilon>0\), whereas no superlinear lower bound is known in the stated arbitrary-gate model. Exact coherent QFT computation is stronger than what bounded-error factoring needs. A resolution must therefore either improve the family of \(O(n^{1+\varepsilon})\) upper bounds to \(O(n)\) or prove that some superlinear growth is unavoidable.

References

[Cleve00]
Richard Cleve and John Watrous. Fast parallel circuits for the quantum Fourier transform. FOCS 2000; See Theorem 2 and the exact-construction recurrence.arXiv
[KMY24]
Gregory D. Kahanamoku–Meyer and Norman Y. Yao, Fast quantum integer multiplication with zero ancillas, arXiv:2403.18006v4 (14 November 2024). See the exact QFT construction and its \(O(n^{1+\varepsilon})\) consequence.arXiv
[Aaronson25]
Scott Aaronson. Author-written QFT discussion dated January 23, 2025, with subsequent corrections and comments by Richard Cleve. Used for the explicit open question and corrected historical attribution, not as a replacement for [Cleve00].link
[Shah25]
Ronit Shah. A Faster Quantum Fourier Transform. withdrawn February 10, 2025 for lack of novelty.arXiv
[Nam20]
Yunseong Nam, Yuan Su, and Dmitri Maslov. Approximate Quantum Fourier Transform with \(O(n\log(n))\) T gates. npj Quantum Information 6, 26 (2020).link
[Lopes26]
Pedro L. S. Lopes. Towards Deploying Optimistic Quantum Fourier Transforms: An Architecture-Algorithm Co-Design Study. May 14, 2026, preprint.arXiv

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“Linear-size exact quantum Fourier transform,” Quantum Information and Quantum Computation Open Problem Zoo (QIQCOP Zoo), ID op_3b3bfcda365a83a9, accessed 2026-09-16.

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@incollection{qiqcop_op_3b3bfcda365a83a9,
  title = {Linear-size exact quantum Fourier transform},
  booktitle = {Quantum Information and Quantum Computation Open Problem Zoo (QIQCOP Zoo)},
  year = {2026},
  howpublished = {\url{https://qiqc-op.com/problem/op_3b3bfcda365a83a9/}},
  note = {Stable ID op_3b3bfcda365a83a9; status: Unsolved; accessed 2026-09-16}
}

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“Linear-size exact quantum Fourier transform,” Quantum Information and Quantum Computation Open Problem Zoo (QIQCOP Zoo), https://qiqc-op.com/problem/op_3b3bfcda365a83a9/, ID op_3b3bfcda365a83a9, accessed 2026-09-16.

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op_3b3bfcda365a83a9
01M2M9FBG3PKXNFV5BMDWQYVTR