Philippe van Dordrecht

dblp:407/3341 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0001-1107-9565ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Quantum computing and quantum information · 81% Information theory · 19%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information › quantum state testing
stabilizer state testing
1.922026
Clifford Testing: Algorithms and Lower Bounds · STOC 2026
Tolerant Testing of Stabilizer States with a Polynomial Gap via a Generalized Uncertainty Relation · STOC 2025
Quantum computing and quantum information › quantum algorithms
quantum property testing
1.012026
Clifford Testing: Algorithms and Lower Bounds · STOC 2026
Quantum computing and quantum information
quantum state testing
0.912025
Tolerant Testing of Stabilizer States with a Polynomial Gap via a Generalized Uncertainty Relation · STOC 2025
Information theory › signal processing › time-frequency analysis
uncertainty principle
0.912025
Tolerant Testing of Stabilizer States with a Polynomial Gap via a Generalized Uncertainty Relation · STOC 2025

Methods — techniques the papers use, named apart from their topics

gowers uniformity norms · 1.0commutant analysis · 1.0lovász theta function · 0.9
YearPublicationVenuePosition
2026 Clifford Testing: Algorithms and Lower Bounds
abstract
We consider the problem of Clifford testing, which asks whether a black-box n-qubit unitary is a Clifford unitary or at least ε-far from every Clifford unitary. We give the first 4-query Clifford tester, which decides this problem with probability poly(ε). This contrasts with the minimum of 6 copies required for the closely-related task of stabilizer testing. We show that our tester is tolerant, by adapting techniques from tolerant stabilizer testing to our setting. In doing so, we settle in the positive a conjecture of Bu, Gu and Jaffe, by proving a polynomial inverse theorem for a non-commutative Gowers 3-uniformity norm. We also consider the restricted setting of single-copy access, where we give an O(n)-query Clifford tester that requires no auxiliary memory qubits or adaptivity. We complement this with a lower bound, proving that any such, potentially adaptive, single-copy algorithm needs at least Ω(n1/4) queries. To obtain our results, we leverage the structure of the commutant of the Clifford group, obtaining several technical statements that may be of independent interest.
Marcel Hinsche, Zongbo Bao, Philippe van Dordrecht, Jens Eisert, Jop Briët, Jonas Helsen
STOC3
2025 Tolerant Testing of Stabilizer States with a Polynomial Gap via a Generalized Uncertainty Relation
abstract
We prove a conjecture of Arunachalam & Dutt on the existence of a tolerant stabilizer testing algorithm, and achieve an exponential improvement in the parameters of the tester. Key to our argument is a generalized uncertainty relation for sets of Pauli operators, based on the Lovász theta function.
Zongbo Bao, Philippe van Dordrecht, Jonas Helsen
STOC2