PreprintCC BY 4.0arXiv
State Synthesis with an NP oracle
Abstract
In this note, I describe a quantum algorithm that prepares an arbitrary state |ψ⟩ to inverse exponential precision in polynomial time by making queries to an NP oracle, assuming one can directly query entries of the state vector corresponding to |ψ⟩. The previous best upper bound on the complexity class required by an oracle for this task was PP. I provide evidence that NP is the best possible upper bound by showing that any quantum algorithm using a P oracle, or even a P/poly oracle, requires exponentially many queries. I also discuss some implications of this result for the QMA search-to-decision problem and unitary synthesis.
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BibTeX
@misc{sen2026state,
title = {{State Synthesis with an NP oracle}},
author = {Aniruddha Sen},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.02370},
eprint = {2611.02370},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.02370},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - State Synthesis with an NP oracle
AU - Aniruddha Sen
PY - 2026
DA - 2026/11/02
PB - arXiv
DO - 10.48550/arxiv.2611.02370
UR - https://arxiv.org/abs/2611.02370
AB - In this note, I describe a quantum algorithm that prepares an arbitrary state |ψ⟩ to inverse exponential precision in polynomial time by making queries to an NP oracle, assuming one can directly query entries of the state vector corresponding to |ψ⟩. The previous best upper bound on the complexity class required by an oracle for this task was PP. I provide evidence that NP is the best possible upper bound by showing that any quantum algorithm using a P oracle, or even a P/poly oracle, requires exponentially many queries. I also discuss some implications of this result for the QMA search-to-decision problem and unitary synthesis.
ER -