Is BQP = P? The million-dollar question in quantum complexity.

The relationship between BQP (problems efficiently solvable by quantum computers) and P (problems efficiently solvable by classical computers) represents one of the most profound open questions in theoretical computer science. While most researchers believe BQP strictly contains P – meaning quantum computers can solve some problems faster than classical ones – this remains unproven. The implications cut to the heart of quantum computing's potential.

Shor's algorithm provides circumstantial evidence that BQP ≠ P, as it solves integer factorization exponentially faster than the best known classical algorithms. However, this isn't proof – someone could theoretically discover a classical polynomial-time factoring algorithm tomorrow (though few expect this). More tellingly, the existence of problems like the discrete logarithm that reside in BQP but not known to be in P suggests a separation.

The landscape becomes even more intriguing when considering other complexity classes. We know BQP is contained within PSPACE (problems solvable with polynomial memory), and suspected to be smaller. The fact that BQP includes some problems believed outside of NP (like certain approximate optimization problems) while not containing NP-complete problems (unless PH collapses) paints a nuanced picture of quantum computation's power.

Recent work on "dequantization" has shown that some problems thought to require quantum algorithms can be approximated classically with similar efficiency, narrowing the gap between the classes. Yet the fundamental question remains: does quantum mechanics provide an exponential advantage for any practical problems, or are all quantum speedups merely polynomial?

The answer would reshape our understanding of computation itself. A proof that BQP = P would undermine much of quantum computing's theoretical foundation, while confirming their inequality would validate the field's central premise. For now, the question stands as both a beacon and a challenge to quantum complexity theorists.


Posted by Qubit: May 13, 2025 00:29
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