On the power of a unique quantum witness
Rahul Jain, Iordanis Kerenidis, Greg Kuperberg, Miklos Santha, Or, Sattath, Shengyu Zhang

TL;DR
This paper demonstrates a deterministic method to reduce problems with polynomially bounded quantum witness spaces to problems with a unique quantum witness, advancing understanding of quantum complexity classes.
Contribution
It introduces an efficient reduction technique transforming problems with bounded quantum witnesses into ones with a single quantum witness in the QMA class.
Findings
Reduction from polynomial-bounded to unique quantum witness
Use of the Alternating subspace in tensor powers for reduction
Establishment of a deterministic procedure for quantum witness reduction
Abstract
In a celebrated paper, Valiant and Vazirani raised the question of whether the difficulty of NP-complete problems was due to the wide variation of the number of witnesses of their instances. They gave a strong negative answer by showing that distinguishing between instances having zero or one witnesses is as hard as recognizing NP, under randomized reductions. We consider the same question in the quantum setting and investigate the possibility of reducing quantum witnesses in the context of the complexity class QMA, the quantum analogue of NP. The natural way to quantify the number of quantum witnesses is the dimension of the witness subspace W in some appropriate Hilbert space H. We present an efficient deterministic procedure that reduces any problem where the dimension d of W is bounded by a polynomial to a problem with a unique quantum witness. The main idea of our reduction is to…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Complexity and Algorithms in Graphs · Machine Learning and Algorithms
