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Stabilizer rank of tensor powers of the T state

Decide whether the number of stabilizer states needed to write n copies of the T magic state is bounded by a polynomial in n.

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Stabilizer rank of tensor powers of the T state

Quantum circuits made of Clifford gates acting on stabilizer states can be simulated efficiently on a classical computer, and adding copies of the magic state ∣T⟩\lvert T\rangle makes them universal. Classical simulators therefore write ∣T⟩⊗n\lvert T\rangle^{\otimes n} as a sum of stabilizer states, at a cost that grows with the number of terms, the stabilizer rank. This rank is expected to grow exponentially in nn, yet no super-polynomial lower bound has been proved.

Problem

Let ∣T⟩=2−1/2(∣0⟩+eiπ/4∣1⟩)\lvert T\rangle=2^{-1/2}\big(\lvert0\rangle+e^{i\pi/4}\lvert1\rangle\big). An nn-qubit stabilizer state is a state C∣0⟩⊗nC\lvert0\rangle^{\otimes n} with CC a Clifford circuit, built from Hadamard, phase and CNOT gates; equivalently, it is the joint +1+1 eigenvector of nn independent commuting Pauli operators. The stabilizer rank of an nn-qubit state ∣ψ⟩\lvert\psi\rangle is

χ(ψ)=min⁡{r: ∣ψ⟩=∑j=1rcj∣φj⟩, cj∈C, ∣φj⟩ stabilizer states}.\chi(\psi)=\min\Big\{r:\ \lvert\psi\rangle=\sum_{j=1}^{r}c_j\lvert\varphi_j\rangle,\ c_j\in\mathbb{C},\ \lvert\varphi_j\rangle \text{ stabilizer states}\Big\}.

Question. Is χ(T⊗n)\chi(T^{\otimes n}) bounded by a polynomial in nn? Bravyi, Smith and Smolin conjectured that in fact χ(T⊗n)≥2Ω(n)\chi(T^{\otimes n})\ge 2^{\Omega(n)} [1].

Since χ\chi is submultiplicative under tensor products, the rate γ=lim⁡n→∞1nlog⁡2χ(T⊗n)\gamma=\lim_{n\to\infty}\frac1n\log_2\chi(T^{\otimes n}) exists, and 0≤γ≤14log⁡230\le\gamma\le\frac14\log_2 3 [2]. Is γ>0\gamma>0? The same questions can be asked for the approximate rank χδ(ψ)\chi_\delta(\psi), the least stabilizer rank of a vector within Euclidean distance δ\delta of ∣ψ⟩\lvert\psi\rangle.

Background

Bravyi, Smith and Smolin introduced simulation by low-rank stabilizer decompositions of magic states in 2016 [1]. They noted that if universal quantum computation cannot be simulated classically in polynomial time, χ(T⊗n)\chi(T^{\otimes n}) must grow super-polynomially, and that a bound 2o(n)2^{o(n)} would allow sub-exponential simulation of constant-depth Clifford+T circuits; they could not prove a super-polynomial bound unconditionally [1]. Up to polynomial factors, the approximate rank of T⊗nT^{\otimes n} bounds the cost of simulating circuits with Clifford gates and nn T gates (Bravyi and Gosset) [4]. Lower bounds concern decompositions into quadratic phase functions over F2\mathbb{F}_2 and are close to circuit lower bounds [3, 4].

What is known

  • Upper bound: χ(T⊗n)=O(2αn)\chi(T^{\otimes n})=O(2^{\alpha n}) with α=14log⁡23≤0.3963\alpha=\frac14\log_2 3\le0.3963 (Qassim, Pashayan and Gosset, 2021), from decompositions built by contracting entangled cat states [2]. This improved on the exponent log⁡2(7)/6≤0.468\log_2(7)/6\le0.468 from the 7-term decomposition of T⊗6T^{\otimes 6} found by Bravyi, Smith and Smolin, and on a later bound of about 0.4630.463 [1, 2]. The same paper showed χ(T⊗6)≤6\chi(T^{\otimes 6})\le 6, disproving the conjecture that it equals 7 [2].
  • Small cases: χ(T⊗2)=2\chi(T^{\otimes 2})=2 and χ(T⊗3)=3\chi(T^{\otimes 3})=3, while for five, six and seven copies the best listed upper bounds are 6, 6 and 12 [2].
  • Exact lower bounds: Ω(n)\Omega(\sqrt n) [1], improved to Ω(n)\Omega(n) by Peleg, Shpilka and Volk [3]. Three different techniques from 2022 all stop at a linear bound [4].
  • Approximate lower bounds: Ω(n/log⁡n)\Omega(\sqrt n/\log n) for small constant δ\delta [3], and χδ(T⊗n)=Ω(n2)/polylog(n)\chi_\delta(T^{\otimes n})=\Omega(n^2)/\mathrm{polylog}(n) for every 0<δ<10<\delta<1 (Mehraban and Tahmasbi, STOC 2024) [4]. An exact decomposition is also an approximate one, so this is the best lower bound on χ\chi as well. An October 2026 preprint by Sinha and Lovitz, not yet refereed, proves Ω(n2/log⁡n)\Omega(n^2/\log n) for the approximate stabilizer rank of ψ⊗n\psi^{\otimes n} for every non-stabilizer single-qubit state ψ\psi [5].
  • Conditionally, χ(T⊗n)\chi(T^{\otimes n}) is super-polynomial unless the permanent has polynomial-size circuits [4].

What would count as progress

  • A lower bound on χ(T⊗n)\chi(T^{\otimes n}) or χδ(T⊗n)\chi_\delta(T^{\otimes n}) of order n2+εn^{2+\varepsilon} for some ε>0\varepsilon>0; a super-polynomial bound would settle the question.
  • A decomposition of T⊗kT^{\otimes k} into fewer than 3k/43^{k/4} stabilizer states for some kk, for example at most 8 terms for k=8k=8 (the listed bound is 12 [2]), which by submultiplicativity lowers α\alpha below 14log⁡23\frac14\log_2 3. It can be checked exactly by expanding the sum.
  • The exact value of χ(T⊗5)\chi(T^{\otimes 5}), known to be at most 6 [2], with a computer-checkable certificate for the lower bound.

References

  1. S. Bravyi, G. Smith and J. A. Smolin, "Trading classical and quantum computational resources", Physical Review X 6, 021043 (2016). doi:10.1103/PhysRevX.6.021043
  2. H. Qassim, H. Pashayan and D. Gosset, "Improved upper bounds on the stabilizer rank of magic states", Quantum 5, 606 (2021). doi:10.22331/q-2021-12-20-606
  3. S. Peleg, A. Shpilka and B. L. Volk, "Lower bounds on stabilizer rank", Quantum 6, 652 (2022). doi:10.22331/q-2022-02-15-652
  4. S. Mehraban and M. Tahmasbi, "Quadratic lower bounds on the approximate stabilizer rank: a probabilistic approach", in Proceedings of the 56th Annual ACM Symposium on Theory of Computing (STOC), 608–619 (2024). doi:10.1145/3618260.3649733
  5. P. Sinha and B. Lovitz, "Improved bounds on stabilizer extent and Clifford rank", arXiv:2610.06819 (2026). arXiv:2610.06819

Source

Imported from QIQCOP Zoo op_37f7b003ec78a028, curated by Bikun Li, Qicheng Tang, Changhao Li, Chengkai Zhu, Minbo Gao, Zhong-Xia Shang, Bin Cheng and Naixu Guo. Open according to the source as of 2026-10-20. The statement above is written in our own words; see the source for the original wording, history and discussion.