versus
Canonical statement
View source LaTeX
Is
\[
BPP\ne BQP?
\]
Here \(BPP\) is classical probabilistic polynomial time with error at
most \(1/3\), and \(BQP\) is the analogous class decided by
polynomial-time-uniform, polynomial-size quantum circuits over a fixed
universal gate set,
measured at the end, with error at most \(1/3\).Notes
The problem asks whether quantum computers are strictly stronger than classical randomized ones for decision problems: is ? The formulation emerged around 1994, as quantum complexity theory took shape; Bernstein and Vazirani laid its foundations and defined via uniform polynomial-size quantum circuits with bounded error [BernsteinVazirani1997].
The evidence for a separation is substantial but indirect. Shor's algorithm factors integers and computes discrete logarithms in quantum polynomial time [Shor1997Factoring], tasks with no known classical polynomial-time algorithm — but factoring is a function problem, and its classical hardness is unproven. Superpolynomial quantum speedups are also known relative to oracles [BernsteinVazirani1997]. Since , an unconditional separation would resolve longstanding classical questions as a byproduct, which partly explains its difficulty; the surrounding landscape is treated in Watrous's survey [Watrous2009Quantum].
No unrelativized decision language has been proved to lie in , and the problem remains open; a resolution requires either such a language or a classical simulation collapsing the two classes.
References (3)
- [BernsteinVazirani1997]
Quantum complexity theory
Open ↗Ethan Bernstein and Umesh Vazirani · 1997 · misc
- [Shor1997Factoring]
Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer
Open ↗Peter W. Shor · 1997 · misc
- [Watrous2009Quantum]
Quantum computational complexity
Open ↗John Watrous · 2009 · misc
The boxed statement is the canonical open formulation — not a stronger variant or a related research program. The status reflects the catalog's last review; do your own literature search before investing serious effort.