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Yangjing Dong

dblp:360/7721 · DBLP profile ↗
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5ranked-venue papers
3as first author
5since 2021 · last 2025
0000-0002-3256-5669ORCID · corroborated

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

Theory of computation · 4 · 2 first-author · 4 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 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
5 papers
Mathematical optimization · 38% Quantum computing and quantum information · 32% Information theory · 20%

Topics — the 13 heaviest of 13, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › information-theoretic security
common randomness generation
1.622025
Hypercontractivity for Quantum Erasure Channels via Variable Multipartite Log-Sobolev Inequality · IEEE Trans. Inf. Theory 2025
Communication Complexity of Common Randomness Generation With Isotropic States · IEEE Trans. Inf. Theory 2024
Mathematical optimization
integer programming
1.622025
The Computational Advantage of MIP* Vanishes in the Presence of Noise · J. ACM 2025
The Computational Advantage of MIP^∗ Vanishes in the Presence of Noise · CCC 2024
Mathematical optimization › integer programming
quantum interactive proofs
1.622025
The Computational Advantage of MIP* Vanishes in the Presence of Noise · J. ACM 2025
The Computational Advantage of MIP^∗ Vanishes in the Presence of Noise · CCC 2024
Computational complexity
communication complexity
1.122025
Hypercontractivity for Quantum Erasure Channels via Variable Multipartite Log-Sobolev Inequality · IEEE Trans. Inf. Theory 2025
Communication Complexity of Common Randomness Generation With Isotropic States · IEEE Trans. Inf. Theory 2024
Information theory › probability theory
hypercontractivity
0.912025
Hypercontractivity for Quantum Erasure Channels via Variable Multipartite Log-Sobolev Inequality · IEEE Trans. Inf. Theory 2025
Mathematical optimization › discrete optimization
mixed integer linear programming
0.912025
The Computational Advantage of MIP* Vanishes in the Presence of Noise · J. ACM 2025
Quantum computing and quantum information › quantum circuit complexity
QAC0
0.912025
On the Computational Power of QAC0 with Barely Superlinear Ancillae · STOC 2025
Quantum computing and quantum information
quantum channel
0.912025
Hypercontractivity for Quantum Erasure Channels via Variable Multipartite Log-Sobolev Inequality · IEEE Trans. Inf. Theory 2025
Quantum computing and quantum information
quantum circuit complexity
0.912025
On the Computational Power of QAC0 with Barely Superlinear Ancillae · STOC 2025
Mathematical optimization › integer programming
multi-prover interactive proofs
0.812024
The Computational Advantage of MIP^∗ Vanishes in the Presence of Noise · CCC 2024
Quantum computing and quantum information
quantum communication
0.812024
Communication Complexity of Common Randomness Generation With Isotropic States · IEEE Trans. Inf. Theory 2024
Quantum computing and quantum information › quantum communication
superdense coding
0.812024
Communication Complexity of Common Randomness Generation With Isotropic States · IEEE Trans. Inf. Theory 2024
Computational complexity › communication complexity › bounded-round protocols
one-way communication
0.212024
Communication Complexity of Common Randomness Generation With Isotropic States · IEEE Trans. Inf. Theory 2024

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

invariance principle · 1.6fourier decomposition · 1.6quantum gross' lemma · 0.9positivity tester · 0.9bernoulli entropy · 0.9quantum channel capacity bounds · 0.8positivity testing · 0.8min-entropy · 0.8
YearPublicationVenuePosition
2025 On the Computational Power of QAC0 with Barely Superlinear Ancillae
Anurag Anshu, Yangjing Dong, Fengning Ou, Penghui Yao
STOC2
2025 The Computational Advantage of MIP* Vanishes in the Presence of Noise
abstract
The class MIP* of quantum multiprover interactive proof systems with entanglement is much more powerful than its classical counterpart MIP [ 8 , 31 , 32 ]: while MIP = NEXP, the quantum class MIP * is equal to RE, a class including the halting problem. This is because the provers in MIP * can share unbounded quantum entanglement. However, recent works [ 53 , 54 ] have shown that this advantage is significantly reduced if the provers’ shared state contains noise. This article attempts to exactly characterize the effect of noise on the computational power of quantum multiprover interactive proof systems. We investigate the quantum two-prover one-round interactive system MIP * [poly, O (1)], where the verifier sends polynomially many bits to the provers and the provers send back constantly many bits. We show that noise completely destroys the computational advantage given by shared entanglement in this model. Specifically, we show that if the provers are allowed to share arbitrarily many EPR states, where each EPR state is affected by an arbitrarily small constant amount of noise, the resulting complexity class is equivalent to NEXP = MIP. This improves significantly on the previous best-known bound of NEEEXP (nondeterministic triply exponential time) [ 53 ]. We also show that this collapse in power is due to noise, rather than the O (1) answer size, by showing that allowing for noiseless EPR states gives the class the full power of RE = MIP * [poly, poly]. Along the way, we develop two technical tools of independent interest. First, we give a new, deterministic tester for the positivity of an exponentially large matrix, provided that it has a low-degree Fourier decomposition in terms of Pauli matrices. Secondly, we develop a new invariance principle for smooth matrix functions having bounded third-order Fréchet derivatives or which are Lipschitz continuous.
Yangjing Dong, Honghao Fu, Anand Natarajan 0001, Minglong Qin, Haochen Xu, Penghui Yao
J. ACM1
2025 Hypercontractivity for Quantum Erasure Channels via Variable Multipartite Log-Sobolev Inequality
abstract
We prove an almost optimal hypercontractive inequality for products of quantum erasure channels, generalizing the hypercontractivity for classical binary erasure channels. To our knowledge, this is the first tensorization-type hypercontractivity bound for quantum channels with no fixed states. The traditional inductive arguments for classical hypercontractivity cannot be generalized to the quantum setting due to the nature of the non-commutativity of matrices. To overcome the difficulty, we establish a novel quantum log-Sobolev inequality for Bernoulli entropy, which includes the classical log-Sobolev inequality and the quantum log-Sobolev inequality as one-partite cases. To our knowledge, its classical counterpart is also unknown prior to this work. We establish a connection between our quantum log-Sobolev inequality and the hypercontractivity bound for quantum erasure channels via a refined quantum Gross’ lemma, extending the analogous connection between the quantum log- Sobolev inequality and the hypercontractivity for qubit unital channels. As an application, we prove an almost tight bound (up to a constant factor) on the classical communication complexity of two-party common randomness generation assisted with erasednoisy EPR states, generalizing the tight bound on the same task assisted with erased-noisy random strings due to Guruswami and Radhakrishnan.
Zongbo Bao, Yangjing Dong, Fengning Ou, Penghui Yao
IEEE Trans. Inf. Theory2
2024 The Computational Advantage of MIP^∗ Vanishes in the Presence of Noise
abstract
Quantum multiprover interactive proof systems with entanglement MIP* are much more powerful than its classical counterpart MIP (Babai et al. '91, Ji et al. '20): while MIP = NEXP, the quantum class MIP* is equal to RE, a class including the halting problem. This is because the provers in MIP* can share unbounded quantum entanglement. However, recent works of Qin and Yao '21 and '23 have shown that this advantage is significantly reduced if the provers' shared state contains noise. This paper attempts to exactly characterize the effect of noise on the computational power of quantum multiprover interactive proof systems. We investigate the quantum two-prover one-round interactive system MIP*[poly, O(1)], where the verifier sends polynomially many bits to the provers and the provers send back constantly many bits. We show noise completely destroys the computational advantage given by shared entanglement in this model. Specifically, we show that if the provers are allowed to share arbitrarily many noisy EPR states, where each EPR state is affected by an arbitrarily small constant amount of noise, the resulting complexity class is equivalent to NEXP = MIP. This improves significantly on the previous best-known bound of NEEEXP (nondeterministic triply exponential time) by Qin and Yao '21. We also show that this collapse in power is due to the noise, rather than the O(1) answer size, by showing that allowing for noiseless EPR states gives the class the full power of RE = MIP*[poly, poly]. Along the way, we develop two technical tools of independent interest. First, we give a new, deterministic tester for the positivity of an exponentially large matrix, provided it has a low-degree Fourier decomposition in terms of Pauli matrices. Secondly, we develop a new invariance principle for smooth matrix functions having bounded third-order Fréchet derivatives or which are Lipschitz continous.
Yangjing Dong, Honghao Fu, Anand Natarajan 0001, Minglong Qin, Haochen Xu, Penghui Yao
CCC1
2024 Communication Complexity of Common Randomness Generation With Isotropic States
abstract
This paper addresses the problem of generating a common random string with min-entropy k using an unlimited supply of quantum isotropic states, with minimal communication between Alice and Bob. Quantum isotropic states can be seen as maximally entangled states polluted by a depolarizing channel. The paper considers two communication models – one-way classical communication and one-way quantum communication, and derives upper bounds on the optimal common randomness rates for both models. We show that in the case of classical communication, quantum isotropic states have no advantage over noisy classical correlation. In the case of quantum communication, we demonstrate that the common randomness rate can be increased by using superdense coding on quantum isotropic states. We also prove an upper bound on the optimal common randomness rate achievable by using one-way quantum communication. As an application, our result yields an upper bound on the classical capacity of the noiseless quantum channel assisted by quantum isotropic states.
Yangjing Dong, Penghui Yao
IEEE Trans. Inf. Theory1