Limits to black-box amplification in QMA

We study the limitations of black-box amplification in the quantum complexity class Q M A . Amplification is known to boost any inverse-polynomial gap between completeness and soundness to exponentially small error, and a recent result (Jeffery and Witteveen, 2025) shows that completeness can in fact be amplified to be doubly exponentially close to 1. We prove that this is optimal for black-box procedures: we provide a quantum oracle relative to which no Q M A verification procedure using polynomial resources can achieve completeness closer to 1 than doubly exponential, or a soundness which is super-exponentially small. This is proven by making the oracle separation from (Aaronson, 2009) between Q M A and Q M A 1 quantitative, using techniques from complex approximation theory.

Authors

Institutions

Publication Details

Journal
Quantum
Published
2026-10-06
DOI
https://doi.org/10.22331/q-2026-10-06-2227
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Limits to black-box amplification in QMA

Scott Aaronson
Quantum
Quantum Computing Algorithms and Architecture
article

Limits to black-box amplification in QMA

Scott Aaronson
article en

Abstract

We study the limitations of black-box amplification in the quantum complexity class Q M A . Amplification is known to boost any inverse-polynomial gap between completeness and soundness to exponentially small error, and a recent result (Jeffery and Witteveen, 2025) shows that completeness can in fact be amplified to be doubly exponentially close to 1. We prove that this is optimal for black-box procedures: we provide a quantum oracle relative to which no Q M A verification procedure using polynomial resources can achieve completeness closer to 1 than doubly exponential, or a soundness which is super-exponentially small. This is proven by making the oracle separation from (Aaronson, 2009) between Q M A and Q M A 1 quantitative, using techniques from complex approximation theory.

QuantumVol. 10
University of Bonn (DE), QuSoft (NL), Simons Foundation (US)
European Commission, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 99%
Quantum Computing Algorithms and Architecture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.