Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2015/iii/paper-67/3/d/solution

Use an -qubit state as the witness. Uniformly choose a term and perform the two-outcome positive operator-valued measure . Regard the second outcome as an energy flag. For witness , its probability is
This is an efficient local-energy measurement verification: a unitary operator on the relevant qubits and one ancilla qubit can implement the measurement using the isometry
The local dimension is constant; the term matrices and the measurement can be approximated to inverse-polynomial accuracy. Uniform choice of and the classical threshold comparison also have polynomial overhead.
Set
In the nontrivial case , is inverse-polynomial. Cases outside this energy range are decided directly from .
Ask for witness registers, measure an independently sampled local term on each, and accept if the mean number of energy flags is at most . An honest product ground state on a YES instance has flag probability at most . The Hoeffding inequality gives failure at most . For completeness, the required Bernoulli concentration estimate follows by bounding the centered log moment-generating function : and is a tilted Bernoulli variance, at most . Hence ; exponential Markov's inequality optimized at yields , and the lower-tail version follows in the same way.
Soundness must also cover entangled witness registers. The averaged flag effect is . All its eigenvalues are at least on a NO instance. The repeated verifier's acceptance effect is a polynomial in the commuting tensor-factor operators and . In their product eigenbasis its eigenvalues are lower-tail probabilities of independent Bernoulli variables whose parameters are each at least . Their lower tail is bounded by the identical-parameter tail at , using the same uniform-variable coupling as in QMA parallel repetition with entangled witnesses. Therefore its operator norm is at most , which bounds acceptance for any entangled witness.
Choosing
gives completeness at least and soundness at most . A slightly larger constant absorbs implementation errors; for example, approximate each flag effect in norm to at most , retain a gap at least , and increase by a constant factor. The total witness length and circuit size are polynomial. Thus

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