Papers for

quantum complexity theorists

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Quantum queries need four steps to exactly solve weight three or four problem

Exact Quantum Query Complexity of the Five-Bit Symmetric Boolean Function $\Exact^5_{3,4}$

Abstract: Let \(f = \text{EXACT}^5_{3,4}\) be the Boolean function that equals 1 exactly on inputs of Hamming weight 3 or 4. Earlier numerical studies reported success probabilities close to one using three queries, but the existence of an exact three-query algorithm had remained unresolved. This paper settles this problem by proving that the exact quantum query complexity of \(f\) is \(4\). For the lower bound, we express every three-query algorithm through layer-by-layer Gram matrices of low-degree Fourier coefficients. We then construct a fixed rational dual certificate whose slack matrices are all positive definite. This certificate separates the necessary Gram-matrix region from the exact-output condition and therefore rules out every exact algorithm using at most three queries in the stated model. The positivity verification reduces to five small rational matrices and Sylvester's criterion. For the upper bound, we invoke the previously known four-query algorithm for the seven-bit function \(\text{EXACT}^7_{3,4}\) and apply the standard padding reduction. To quantify the near-exact behavior, we use the same certificate to derive a valid, though not claimed tight, lower bound \(\frac{25600}{43779488192449}>0\) on the worst-case error of every algorithm using at most three queries. This positive error gap is compatible with the near-unit success probabilities reported in earlier numerical studies, which do not establish exact computation.

Sat 17 OctComputational Complexity
The gist
This paper looks at a special quantum computing problem where the goal is to find out if a group of bits has exactly three or four ones. Earlier work suggested you might do this perfectly in three tries, but the authors show this is impossible. They prove that you need at least four quantum queries to get an exact answer every time and explain why three queries always have a tiny chance of error. They also confirm a known method that uses four queries can solve this exactly.
Open → 2610.24518v1

Quantum complexity hierarchy collapse linked to nonuniform circuit collapse

Nonuniform QCPH Collapse Implies QCPH Collapse

Abstract: Despite the importance of the non-uniform Polynomial-Time Hierarchy (PH/poly) in classical complexity understanding the collapse conditions of the Polynomial-Time Hierarchy (PH), a quantum equivalent of PH/poly has yet to be studied in the literature. We introduce the non-uniform computational Quantum Polynomial-Time Hierarchy (QCPH/mpoly), the quantum equivalent of PH/poly, and show that it collapses if and only if QCPH, the quantum equivalent of PH introduced by Gharibian et al. (comput. complex. 2022), also collapses. We also show that QCPH collapses if coQCMA is contained in QCMA/mpoly. These results are analogous to those of Yap (TCS 1983) commonly used to invoke the collapse of PH in classical complexity. QCPH/mpoly is analogous to QCPH with non-uniform quantum verifier circuits.

Sat 3 OctComputational Complexity
The gist
The authors studied a quantum version of a classical computer science concept called the Polynomial-Time Hierarchy, which organizes problems based on how hard they are to solve. They introduced a new quantum hierarchy that allows for extra advice bits (nonuniformity) and found this hierarchy collapses if and only if the original quantum hierarchy does. This means the complexity levels in the quantum hierarchy behave similarly whether or not extra advice is allowed. They also connect this collapse to a relationship between two quantum complexity classes called coQCMA and QCMA with advice.
Open → 2610.04423v1

Quantum query complexity gets stronger direct product theorems for selective and list decoding

Strong Selective and List-Decoding Direct Product Theorems for Quantum Query Complexity

Abstract: Quantum strong direct-product theorems for specific functions have been known for nearly two decades. These have been extended to general results for function computation and state generation. The proofs of these results use a version of the multiplicative adversary method that does not naturally extend to relations. Standard strong direct-product theorems apply when algorithms must correctly answer every given question. Prior work extended them to equivalent threshold direct-product theorems, which require answers to all questions but only require that most answers are correct. We focus on two further generalizations. Strong selective direct-products apply to algorithms that adaptively choose, based on what they learn from queries, which questions from a large list to answer. This generalization is relational and useful for proving time-space tradeoffs. We prove a quantum strong selective direct-product theorem for all functions using a new multiplicative adversary formulation for relations that satisfies a strong selective direct product property while being strong enough to capture any query lower bound for functions proven by negative-weights adversaries. This was not previously known even without selectivity. The second generalization is list-decoding direct product problems introduced by Ben-David and Blais for classical randomized query complexity. These allow an algorithm to produce a large list of possible output vectors such that one of them is fully correct. They proved that such theorems hold for classical randomized complexity of all Boolean functions. We prove a quantum analogue of this theorem for all partial Boolean functions. We show that strong list-decoding direct-product theorems are implied by a special case of multiplicative adversaries which we show, via a new reduction, can be obtained from negative-weights adversaries for any Boolean-valued function.

Tue 22 SeptComputational Complexity
The gist
Solving multiple questions at once with a quantum computer is tricky, especially if the questions depend on previous answers or if you only need to get one out of many answers exactly right. The authors proved new results that extend earlier theorems to handle these kinds of flexible question-answering strategies. They developed a new mathematical tool called a multiplicative adversary method that works better for these cases involving relations and partial functions. This improves our understanding of how quantum algorithms perform when asked to solve many problems simultaneously.
Open → 2609.26678v1