Distance hardness and addressable transversal T
Today’s quantum information science papers pull coding theory in opposite directions: how hard it is to certify a stabilizer code’s quality, versus how to build codes that are both asymptotically strong and logically flexible. Approximating the minimum distance—the Pauli weight of the lightest nontrivial logical operator—to within any constant-fraction additive gap in the block length is NP-hard for randomized algorithms, matching classical linear-gap hardness that prior quantum reductions only reached at . On the constructive side, an explicit family of binary CSS codes—stabilizer codes from a pair of classical linear codes—achieves constant rate and linear distance while supporting fully addressable transversal gates, so any prescribed tensor product of logical powers of the non-Clifford phase gate is realized by matching physical powers with no corrective Clifford afterward.
Hardness of Approximating Quantum Code Distance Beyond
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TL;DR Approximating the minimum distance of a stabilizer code—the Pauli weight of its lightest nontrivial logical operator—to within any constant-fraction additive gap in the block length is NP-hard for randomized algorithms (unless ), matching the classical linear-gap hardness that prior quantum reductions only reached at . Fine-grained lower bounds under SETH (the Strong Exponential Time Hypothesis, that -SAT needs essentially time) and Gap-ETH further rule out substantially sub- exact algorithms and subexponential linear-gap approximation on linear-parameter instances.
- Main result: No randomized algorithm approximates stabilizer-code distance to within an additive for any constant unless (NP problems admit efficient randomized one-sided error refutation).
- Prior barrier closed: Earlier quantum hardness reductions stopped at an additive gap; this work lifts the gap to a linear fraction of the block length , matching the classical linear-code setting.
- SETH exact bound: For every , no randomized -time algorithm computes the distance of a code with logical qubits unless SETH fails.
- Gap-ETH approximation bound: No randomized -time algorithm approximates distance to within a linear additive gap on instances where , , and the gap are all linear, unless non-uniform Gap-ETH (a gapped exponential-time hardness hypothesis for SAT) fails.
Asymptotically Good Quantum Codes with Addressable Transversal T Gates
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TL;DR An explicit family of binary CSS codes—stabilizer codes built from a pair of classical linear codes—achieves constant rate and linear distance while supporting fully addressable transversal gates: any prescribed tensor product of logical powers of the non-Clifford phase gate is realized by a matching tensor product of physical powers, with no corrective Clifford afterward. Algebraic-geometry codes plus a binary embedding yield generalized divisibility (a weight-divisibility condition on the classical codes that licenses transversal non-Clifford gates), closing a long-standing gap between asymptotic goodness and logical addressability for .
- Main result: The construction gives an explicit infinite family of binary CSS codes with constant rate and linear distance that implement any chosen logical by a purely transversal physical pattern, without a follow-up correction.
- Mechanism: Algebraic-geometry codes with a suitable multiplication property are mapped into binary codes via embedding so that the resulting classical codes satisfy generalized divisibility; that divisibility is what licenses fully addressable transversal .
- Optimization: The minimum binary embedding length is cast as a minimum-weight problem over an affine space, and numerical solutions tighten the asymptotic constants in the rate and relative-distance bounds.
- Why it matters: Prior asymptotically good codes with transversal non-Cliffords typically lacked per-logical addressability, while addressable constructions often sacrificed constant rate or linear distance; this family combines both.