Description
Multimode-mode Fock-state bosonic approximate code derived from a matrix model, i.e., a non-Abelian bosonic gauge theory with a large gauge group. The model's degrees of freedom are matrix-valued bosons \(a\), each consisting of \(N^2\) harmonic oscillator modes and subject to an \(SU(N)\) gauge symmetry.
A simple matrix-model code [2] consists of two spatially separated bosons with codewords \begin{align} |\mathcal{I}\rangle :=\prod_{(m,n)\in \mathcal{I} } \frac{\text{Tr}(a_1^{\dagger m}a_2^{\dagger n})}{N^{\frac{m+n}{2}}}|0\rangle_{12}~, \tag*{(1)}\end{align} where \(\cal I\) is some set of integer two-tuples, and \(n,m\geq 0\).
Gauge symmetry is assumed to be enforced in the above model. In other variants [2], gauge symmetry is enforced energetically, requiring a parameter to scale as \(\log(N)\) for polynomial memory lifetime. This translates to the bath coupling being suppressed as \(1/N\).
Protection
Parents
- Fock-state bosonic code — Matrix-model logical states are lie in a low-energy Fock-state subspace.
- Approximate quantum error-correcting code (AQECC) — Matrix-model codes approximately protect against gauge-invariant errors in the large-mode limit.
- Hamiltonian-based code — Matrix-model codewords for simple codes are eigenstates of a matrix-model Hamiltonian.
- Holographic code — Matrix-model codes are motivated by the Ads/CFT correspondence because it is manifest in continuous non-Abelian gauge theories with large gauge groups [2].
Cousin
- Self-correcting quantum code — Matrix-model codes are similar to self-correcting memories in the sense that memory time becomes infinite in the thermodynamic limit, but with corrections being polynomial in \(N\).
References
- [1]
- A. Milekhin, “Quantum error correction and large \(N\)”, SciPost Physics 11, (2021) arXiv:2008.12869 DOI
- [2]
- C. Cao, G. Cheng, and B. Swingle, “Large \(N\) Matrix Quantum Mechanics as a Quantum Memory”, (2022) arXiv:2211.08448
Page edit log
- Victor V. Albert (2022-12-27) — most recent
Cite as:
“Matrix-model code”, The Error Correction Zoo (V. V. Albert & P. Faist, eds.), 2022. https://errorcorrectionzoo.org/c/matrix_qm