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Q22 / Computational complexity / direction

Which spin problems are BQP\mathsf{BQP}-complete?

Formulate promise problems on spin networks, recoupling structures, or adaptive measurement histories, with explicit reductions and precision requirements.

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Working mathematical formulation

Define a promise problem on succinctly described spin networks, recoupling structures, or adaptive measurement histories and prove both BQP\mathsf{BQP} membership and BQP\mathsf{BQP} hardness under explicit reductions and precision conventions. Seek a natural formulation beyond simply relabeling a circuit. In the knot or tangle direction, seek a natural task beyond restating the standard Jones-polynomial approximation problem.

Why this is interesting

A useful complete problem can expose computational structure in another field. Braids, knots, and tangles are leads, not automatic evidence of hardness.

Explicit variants

  1. Sampling formulations

    Define a family of spin-native output distributions with an explicit classical instance description and approximation metric. Prove efficient quantum sampling and an appropriate sampling-hardness reduction; separately formulate any bounded-error decision problem extracted from those distributions. Specify the sampling complexity class and reduction rather than treating a sampling task as a language in BQP\mathsf{BQP}.

A place to start

Specify a small diagrammatic evaluation problem and decide whether it estimates an amplitude, a probability, or an adaptively generated distribution.

Related work

These works provide context and established results. They need not be the origin of this exact formulation.

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