REVIEW 5 minor 42 references
QMA Lower Bounds for Batch Verification via Approximate Degree
T0 review · 0 major / 5 minor · reviewed 2026-07-13 · grok-4.5
Pith's one-line read Saving even a constant factor of witness length when batch-verifying certain DNFs forces a polynomial blow-up in QMA queries.
desk verdict Clean dual-polynomial technique that turns ordinary approximate degree into QMA batch tradeoffs and improves concrete lower bounds for SURJ and kED. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
Relaxed SBQP duals: dual polynomials that are well-correlated with the batch function, orthogonal to low-degree monomials, and place only tiny mass on misclassified true inputs. They are built by composing a one-sided dual for AND with an approximate-degree dual for f and Sherstov’s multilinear polynomial p_k, then shown to rule out low-degree SBQP approximations.
What would settle it
Exhibit any QMA protocol for the explicit DNF batch problem that uses witness length o(m log n) yet only O(sqrt(m) polylog n) queries, or produce a low-degree SBQP approximation that contradicts the claimed dual.
Extended reading notes
Core claim
If the approximate degree of f to error 1-1/m exceeds d, then every QMA query protocol for the batch function AND_m o f^m that uses only O(m) qubits of witness must make Omega(d sqrt(m/w)) queries. For an explicit family of constant-width polynomial-size DNFs this implies that beating the baseline witness length by any constant factor forces the query cost to jump from O(sqrt(m)) to nearly linear in n.
Load-bearing premise
The construction assumes that the mass the dual places on true inputs it misclassifies stays small enough; if that mass exceeds the allowed threshold the dual ceases to certify the degree lower bound.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper studies batch verification of Boolean functions in the QMA query and communication models. It introduces a general technique that converts approximate-degree lower bounds for a base function f into witness-query tradeoffs for AND_m ◦ f^m. The key technical device is a relaxed (M, ε, d)-SBQP dual (Definition 3.1 / Lemma 3.2) constructed in Theorem 3.5 by combining a one-sided dual for AND (Theorem 3.3), a dual for f, and Sherstov’s multilinear polynomial p_k (Lemma 3.4). Corollaries 3.6–3.7 and the Marriott–Watrous reduction (Lemma 4.1) then yield concrete QMA_dt tradeoffs (Theorems 4.2, 4.4). These are applied to obtain new lower bounds for an explicit constant-width DNF family (Corollary 4.3), the two-level AND-OR tree, SURJ, and kED (Theorem 4.5). The same duals lift via a pattern-matrix argument (Section 5) to matching QMA_cc lower bounds.
Significance. The work supplies the first direct, general connection between ordinary approximate degree and QMA_dt batch-verification cost, bypassing the earlier need for one-sided vanishing-error approximate degree. The resulting tradeoffs are strong enough to show that even a constant-factor saving in witness length for an explicit DNF forces a polynomial blow-up in queries, and they improve the best-known QMA_dt bounds for SURJ (to Õ(n^{3/7})) and kED. The pattern-matrix lift is clean and immediately yields communication analogues. The dual construction is fully rigorous and self-contained once the literature duals for AND and f are taken as black boxes; no machine-checked proofs or code are supplied, but the mathematics is standard and verifiable by hand.
minor comments (5)
- In the abstract and Theorem 1.3 the phrase “read-once CNF formulas” appears, yet the body only treats the two-level AND-OR tree (AND_m ◦ OR_n). Align the terminology or add a short remark clarifying the relationship.
- After Equation (3) the mass bound relies on the one-sidedness of the AND dual and the non-negativity of p_k. A one-sentence reminder of these two facts would make the calculation easier to follow on a first reading.
- In Corollary 4.3 the upper-bound protocol uses Grover search over m terms of width k; the query cost is stated as O(k √m). A parenthetical citation to the standard multi-item Grover analysis (e.g., Høyer–Mosca–de Wolf) would be helpful.
- Section 5.2, Lemma 5.2: the quantity Q is defined with a logarithm of a ratio involving the spectral norm; a brief remark that the same argument works with the trace norm (via the factorization identity already recalled) would clarify the matrix-analytic ingredients.
- A few typographical inconsistencies remain: “naïve” vs. “naive”, occasional missing spaces around ◦, and the arXiv date line still reads “July 9, 2026”.
Circularity Check
No circularity: independent dual construction from external approximate-degree duals yields QMA lower bounds by standard LP duality and Marriott-Watrous.
full rationale
The paper is pure complexity-theoretic lower-bound mathematics. Approximate-degree duals for AND (Theorem 3.3, from Buhrman et al.) and for the base functions f (from Sherstov, Bun-Thaler, Ambainis, etc.) are imported as external black-box facts. The authors construct a new relaxed SBQP dual for the composed function AND_m ◦ f^m (Theorem 3.5) by combining those duals with Sherstov’s multilinear polynomial p_k; the correlation, pure-high-degree, and almost-one-sided-error properties are proved by direct calculation (Eqs. (1)–(3) and the subsequent mass bound). This dual is then fed into ordinary LP duality (Lemma 3.2) and the standard Marriott-Watrous amplification (Lemma 4.1) to obtain the claimed QMA_dt trade-offs; the pattern-matrix lift (Section 5) is likewise a standard adaptation. No parameter is fitted to data, no uniqueness theorem is imported from the authors’ own prior work to force the result, and the target QMA complexity is never used as an input to the dual construction. The derivation is therefore self-contained against external mathematical benchmarks and exhibits no circular reduction.
Assumptions & free parameters
assumptions (4)
- standard math ε-approximate degree dual characterization (Theorem 2.1): existence of a pure-high-degree, unit-ℓ1 dual with correlation ≥ε
- standard math One-sided approximate degree of AND_m is Θ(√(m log(1/γ))) (Theorem 3.3)
- standard math Marriott-Watrous in-place amplification reduces QMA error to 2^{-O(w)} at O(qw) query cost (Theorem 2.3)
- standard math Sherstov’s multilinear polynomial p_k and its expectation bound under product distributions (Lemma 3.4)
invented entities (1)
-
relaxed (M,ε,d)-SBQP dual
Cite this review
Pith. "Pith review of QMA Lower Bounds for Batch Verification via Approximate Degree." pith.science (2026). https://pith.science/paper/5SPLK26A
@misc{pith2026260708888,
author = {Pith},
title = {Pith review of: QMA Lower Bounds for Batch Verification via Approximate Degree},
year = {2026},
howpublished = {\url{https://pith.science/paper/5SPLK26A}},
note = {Machine review of arXiv:2607.08888}
}
abstract
We study batch verification in QMA query and communication complexity, where the goal is to understand how the resources needed to verify $m$ copies of a Boolean function $f$ depend on $m$. We give a general technique for proving lower bounds on the witness-query tradeoff needed to batch verify a function $f$ in terms of its approximate degree. Applying this technique to an explicit family of DNF formulas $f$, we show that attempting to save even a constant factor on the witness length of the baseline approach to batch verifying $f$ necessitates a large polynomial increase in the query cost. We also obtain new lower bounds on the QMA query complexity of read-once CNF formulas and on the surjectivity and $k$-element distinctness functions. Our lower bounds also lift to give communication analogs of these results.
Reference graph
Works this paper leans on
-
[1]
Impossibility of succinct quantum proofs for collision-freeness
Scott Aaronson. Impossibility of succinct quantum proofs for collision-freeness. Quantum Info. Comput. , 12(1–2):21–28, 2012
2012
-
[2]
Quantum lower bounds for approximate counting via Laurent polynomials
Scott Aaronson, Robin Kothari, William Kretschmer, and Justin Thaler. Quantum lower bounds for approximate counting via Laurent polynomials. In 35th Computational Complexity Conference, CCC 2020, July 28-31, 2020, Saarbr \" u cken, Germany (Virtual Conference) , 2020
2020
-
[3]
Polynomial degree and lower bounds in quantum complexity: Collision and element distinctness with small range
Andris Ambainis. Polynomial degree and lower bounds in quantum complexity: Collision and element distinctness with small range. Theory Comput. , 1(1):37--46, 2005
2005
-
[4]
Quantum lower bounds for the collision and the element distinctness problems
Scott Aaronson and Yaoyun Shi. Quantum lower bounds for the collision and the element distinctness problems. J. ACM , 51(4):595--605, 2004
2004
-
[5]
Quantum lower bounds by polynomials
Robert Beals, Harry Buhrman, Richard Cleve, Michele Mosca, and Ronald de Wolf. Quantum lower bounds by polynomials. Journal of the ACM (JACM) , 48(4):778--797, 2001
2001
-
[6]
Bounds for small-error and zero-error quantum algorithms
Harry Buhrman, Richard Cleve, Ronald de Wolf, and Christof Zalka. Bounds for small-error and zero-error quantum algorithms. In 40th Annual Symposium on Foundations of Computer Science, FOCS 1999, New York, NY, USA, October 17-18, 1999 , 1999
1999
-
[7]
Batch proofs are statistically hiding
Nir Bitansky, Chethan Kamath, Omer Paneth, Ron D Rothblum, and Prashant Nalini Vasudevan. Batch proofs are statistically hiding. In Proceedings of the 56th Annual ACM Symposium on Theory of Computing , pages 435--443, 2024
2024
-
[8]
The polynomial method strikes back: Tight quantum query bounds via dual polynomials
Mark Bun, Robin Kothari, and Justin Thaler. The polynomial method strikes back: Tight quantum query bounds via dual polynomials. Theory Comput. , 16:1--71, 2020
2020
Show all 42 references
-
[9]
Dual lower bounds for approximate degree and M arkov-- B ernstein inequalities
Mark Bun and Justin Thaler. Dual lower bounds for approximate degree and M arkov-- B ernstein inequalities. Inf. Comput. , 243:2--25, 2015
2015
-
[10]
Hardness amplification and the approximate degree of constant-depth circuits
Mark Bun and Justin Thaler. Hardness amplification and the approximate degree of constant-depth circuits. In Automata, Languages, and Programming - 42nd International Colloquium, ICALP 2015, Kyoto, Japan, July 6-10, 2015, Proceedings, Part I , 2015
2015
-
[11]
The large-error approximate degree of AC^0
Mark Bun and Justin Thaler. The large-error approximate degree of AC^0 . Theory of computing , 2018
2018
-
[12]
Approximate degree in classical and quantum computing
Mark Bun and Justin Thaler. Approximate degree in classical and quantum computing. Foundations and Trends in Theoretical Computer Science , 15(3--4):229--423, 2022
2022
-
[13]
Non-interactive batch arguments for NP from standard assumptions
Arka Rai Choudhuri, Abhishek Jain, and Zhengzhong Jin. Non-interactive batch arguments for NP from standard assumptions. In Annual International Cryptology Conference , 2021
2021
-
[14]
Snargs for P from LWE
Arka Rai Choudhuri, Abhihsek Jain, and Zhengzhong Jin. Snargs for P from LWE . In 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS) , 2022
2021
-
[15]
Non-interactive zero-knowledge from non-interactive batch arguments
Jeffrey Champion and David J Wu. Non-interactive zero-knowledge from non-interactive batch arguments. In Annual International Cryptology Conference , pages 38--71. Springer, 2023
2023
-
[16]
Rate-1 non-interactive arguments for batch- NP and applications
Lalita Devadas, Rishab Goyal, Yael Kalai, and Vinod Vaikuntanathan. Rate-1 non-interactive arguments for batch- NP and applications. In 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS) , 2022
2022
-
[17]
Quantum proofs of proximity
Marcel Dall'Agnol, Tom Gur, Subhayan Moulik, and Justin Thaler. Quantum proofs of proximity. Quantum , 6:834, 2022
2022
-
[18]
Succinct arguments for batch qma and friends under 8 rounds
Rishab Goyal, Aditya Jain, and Shashwatha Mitra GB. Succinct arguments for batch qma and friends under 8 rounds. In Annual International Cryptology Conference , 2025
2025
-
[19]
Sherstov
Dmitry Gavinsky and Alexander A. Sherstov. A separation of NP and coNP in multiparty communication complexity. Theory Comput. , 6(1):227--245, 2010
2010
-
[20]
Quantum search on bounded-error inputs
Peter H yer, Michele Mosca, and Ronald de Wolf. Quantum search on bounded-error inputs. In International Colloquium on Automata, Languages, and Programming , 2003
2003
-
[21]
On A rthur M erlin games in communication complexity
Hartmut Klauck. On A rthur M erlin games in communication complexity. In Proceedings of the 26th Annual IEEE Conference on Computational Complexity, CCC 2011, San Jose, California, USA, June 8-10, 2011 , 2011
2011
-
[22]
Boosting batch arguments and ram delegation
Yael Kalai, Alex Lombardi, Vinod Vaikuntanathan, and Daniel Wichs. Boosting batch arguments and ram delegation. In Proceedings of the 55th Annual ACM Symposium on Theory of Computing , pages 1545--1552, 2023
2023
-
[23]
How to delegate computations publicly
Yael Tauman Kalai, Omer Paneth, and Lisa Yang. How to delegate computations publicly. In Proceedings of the 51st annual ACM SIGACT symposium on theory of computing , pages 1115--1124, 2019
2019
-
[24]
Batch verification for statistical zero knowledge proofs
Inbar Kaslasi, Guy N Rothblum, Ron D Rothblum, Adam Sealfon, and Prashant Nalini Vasudevan. Batch verification for statistical zero knowledge proofs. In Theory of Cryptography Conference , 2020
2020
-
[25]
Public-coin statistical zero-knowledge batch verification against malicious verifiers
Inbar Kaslasi, Ron D Rothblum, and Prashant Nalini Vasudevanr. Public-coin statistical zero-knowledge batch verification against malicious verifiers. In Annual International Conference on the Theory and Applications of Cryptographic Techniques , pages 219--246. Springer, 2021
2021
-
[26]
Doubly-efficient batch verification in statistical zero-knowledge
Or Keret, Ron D Rothblum, and Prashant Nalini Vasudevan. Doubly-efficient batch verification in statistical zero-knowledge. In Theory of Cryptography Conference , 2024
2024
-
[27]
Somewhere statistical soundness, post-quantum security, and SNARGs
Yael Tauman Kalai, Vinod Vaikuntanathan, and Rachel Yun Zhang. Somewhere statistical soundness, post-quantum security, and SNARGs . In Theory of Cryptography Conference , 2021
2021
-
[28]
Lower bounds in communication complexity based on factorization norms
Nati Linial and Adi Shraibman. Lower bounds in communication complexity based on factorization norms. In Proceedings of the Thirty-Ninth Annual ACM Symposium on Theory of Computing , 2007
2007
-
[29]
Strong batching for non-interactive statistical zero-knowledge
Changrui Mu, Shafik Nassar, Ron D Rothblum, and Prashant Nalini Vasudevan. Strong batching for non-interactive statistical zero-knowledge. In Annual International Conference on the Theory and Applications of Cryptographic Techniques , 2024
2024
-
[30]
Mande, Justin Thaler, and Shuchen Zhu
Nikhil S. Mande, Justin Thaler, and Shuchen Zhu. Improved approximate degree bounds for k-distinctness. In 15th Conference on the Theory of Quantum Computation, Communication and Cryptography, TQC 2020, Riga, Latvia, June 9-12, 2020 , 2020
2020
-
[31]
Quantum A rthur- M erlin games
Chris Marriott and John Watrous. Quantum A rthur- M erlin games. Comput. Complex. , 14(2):122--152, 2005
2005
-
[32]
Quantum statistical witness indistinguishability
Shafik Nassar and Ronak Ramachandran. Quantum statistical witness indistinguishability. Technical Report arXiv:2509.01945, 2025
2025 arXiv
-
[33]
Batch verification and proofs of proximity with polylog overhead
Guy N Rothblum and Ron D Rothblum. Batch verification and proofs of proximity with polylog overhead. In Theory of Cryptography Conference , 2020
2020
-
[34]
Constant-round interactive proofs for delegating computation
Omer Reingold, Guy N Rothblum, and Ron D Rothblum. Constant-round interactive proofs for delegating computation. In Proceedings of the forty-eighth annual ACM symposium on Theory of Computing , pages 49--62, 2016
2016
-
[35]
Rothblum, and Ron D
Omer Reingold, Guy N. Rothblum, and Ron D. Rothblum. Efficient batch verification for UP . In 33rd Computational Complexity Conference (CCC 2018) , 2018
2018
-
[36]
On the power of quantum proofs
Ran Raz and Amir Shpilka. On the power of quantum proofs. In 19th Annual IEEE Conference on Computational Complexity (CCC 2004), 21-24 June 2004, Amherst, MA, USA , 2004
2004
-
[37]
Sherstov
Alexander A. Sherstov. The pattern matrix method. SIAM J. Comput. , 40(6):1969--2000, 2011
1969
-
[38]
Sherstov
Alexander A. Sherstov. Strong direct product theorems for quantum communication and query complexity. SIAM J. Comput. , 41(5):1122--1165, 2012
2012
-
[39]
Sherstov
Alexander A. Sherstov. Approximating the AND-OR tree. Theory Comput. , 9:653--663, 2013
2013
-
[40]
Sherstov
Alexander A. Sherstov. The approximate degree of DNF and CNF formulas. SIAM J. Comput. , 54(3):702--774, 2025
2025
-
[41]
Sherstov and Justin Thaler
Alexander A. Sherstov and Justin Thaler. Vanishing-error approximate degree and QMA complexity. Chicago Journal of Theoretical Computer Science , 2023(3), 2023
2023
-
[42]
Batch arguments for NP and more from standard bilinear group assumptions
Brent Waters and David J Wu. Batch arguments for NP and more from standard bilinear group assumptions. In Annual International Cryptology Conference , pages 433--463, 2022
2022
Reviewed July 13, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.