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BQP is unchanged by polynomially small bounded error
Statement
Let be computable in deterministic polynomial time and polynomially bounded, with for all sufficiently large . For every promise problem, the following are equivalent in the QC14 full-list model:
- it has a uniformly generated family and polynomial-time acceptance predicate with acceptance at least on YES and at most on NO;
- it has a uniformly generated family and polynomial-time acceptance predicate with acceptance at least on YES and at most on NO.
More generally, suppose a uniformly generated family with a polynomial-time acceptance predicate satisfies on length- YES inputs and on length- NO inputs, where are polynomial-time computable rationals and there is a positive integer-valued polynomial such that and for all sufficiently large . It can be modified to achieve the same exponentially small target error . This result does not assert the gap-only implication for arbitrary endpoint thresholds.
Facts & Assumptions
Given: A promise problem, the QC14 BQP definition, the amplification-correctness theorem, and a polynomial-time computable polynomially bounded with the stated eventual lower bound.
BQP for promise problems in the fixed QC14 model: BQP in this model requires acceptance at least on YES and at most on NO, with no off-promise condition.
Bounded-error repetition amplification is correct and uniform: for a base family satisfying its YES/NO rational thresholds in , with inverse-polynomial gap and valid rational , repetition gives errors at most with polynomial full-list resources.
Proof
If the promise problem is in BQP, take , , and . Use the all-length rational target when and otherwise, and apply [F2]. Retain the amplified circuit and predicate where , and retain the original circuit and predicate at the remaining lengths; this polynomial-time length test preserves full-list uniformity. The rational values have polynomial bit length because is polynomially bounded, and the gap is , so this gives the second family at those lengths. At any length with , the target bounds are on YES and on NO; with , they are and . The original bounds imply each of these finite exceptional cases.
Conversely, choose such that for all . At those lengths, and , so the high-confidence family meets the BQP bounds. There are finitely many binary strings of length less than . Change the total classical predicate on this finite set to accept each member of and reject each member of , while leaving it unchanged off the promise and on longer strings. The finite table is a fixed finite description and adds only constant time and space. The circuit generator is unchanged, so the modified family remains full-list uniform and satisfies [F1] on every promised input.
For the more general thresholds, choose a fixed beyond both the finitely many gap exceptions and the lengths with . To satisfy the all-length input conditions of [F2], define polynomial-time rational functions to equal below and at and above ; set ; and define below and at and above . These functions meet the endpoint, positive-gap and conditions at every length. Before amplification, change the base predicate below to accept exactly the YES members of the finite set of short inputs and reject its NO members, independently of the measured string; leave it unchanged at longer lengths. This is legal because the predicate API is and explicitly receives . The fixed finite table gives base probabilities on short YES inputs and on short NO inputs, so the corrected base family meets at every length. Apply [F2] to this corrected base family with these functions. For the resulting circuits have the desired error and , so is polynomial. At the finitely many lengths below , replace the amplified predicate by a finite table that answers each promised input exactly; this table is a fixed constant-size addition to a polynomial-time predicate. The resulting family is full-list uniform and meets the target on every promised input. The finite table is an existence argument for this fixed promise problem; no algorithm for recovering its short YES membership from an arbitrary family description is asserted.
Source qualification
Watrous, Proposition 3, as printed in Section IV.2 (PDF p. 13), states the broader equality from an inverse-polynomial gap alone. The proof here uses only amplification for the standard BQP thresholds and a finite-table treatment of exceptional lengths. It does not use that printed gap-only equality for arbitrary .
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- John Watrous, Quantum Computational Complexity, Section IV.2 (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes, Chapter 13, Section 13.2 and Appendix B.2 (standard reference, not scraped)