Quantum search-to-decision reductions and the state synthesis problem
Sandy Irani, Anand Natarajan, Chinmay Nirkhe, Sujit Rao, Henry Yuen

TL;DR
This paper investigates quantum search-to-decision reductions, demonstrating new algorithms for quantum state synthesis and establishing limitations of such reductions within quantum complexity classes.
Contribution
It introduces quantum search-to-decision reductions for QMA, shows their limitations, and solves an open problem on quantum state synthesis query complexity.
Findings
Quantum algorithms can generate QMA witnesses with one PP oracle query.
QMA-search does not reduce to QMA-decision in polynomial time relative to a quantum oracle.
Any quantum state can be synthesized with one or two classical oracle queries to inverse polynomial or exponential precision.
Abstract
It is a useful fact in classical computer science that many search problems are reducible to decision problems; this has led to decision problems being regarded as the computational task to study in complexity theory. In this work, we explore search-to-decision reductions for quantum search problems, wherein a quantum algorithm makes queries to a classical decision oracle to output a desired quantum state. In particular, we focus on search-to-decision reductions for , and show that there exists a quantum polynomial-time algorithm that can generate a witness for a problem up to inverse polynomial precision by making one query to a decision oracle. We complement this result by showing that -search does reduce to -decision in polynomial-time, relative to a quantum oracle. We also…
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