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Heliang Huang

dblp:136/5600 · DBLP profile ↗
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3ranked-venue papers
2as first author
1since 2021 · last 2021
0000-0002-5121-3028ORCID · reported

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

Systems, architecture and hardware · 1 · 1 since 2021Security and privacy · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
High-performance computing · 60% Emerging computing paradigms · 40%
Theoretical computer science
2 papers
Quantum computing and quantum information · 100%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information
quantum circuit simulation
0.512021
Closing the "quantum supremacy" gap: achieving real-time simulation of a random quantum circuit using a new Sunway supercomputer · SC 2021
Emerging computing paradigms
quantum computer architecture
0.412020
Superconducting quantum computing: a review · Sci. China Inf. Sci. 2020
High-performance computing › supercomputing
supercomputing systems
0.112021
Closing the "quantum supremacy" gap: achieving real-time simulation of a random quantum circuit using a new Sunway supercomputer · SC 2021

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

tensor contraction · 1.0parallelization · 1.0mixed-precision computation · 1.0survey · 0.9
YearPublicationVenuePosition
2021 Closing the "quantum supremacy" gap: achieving real-time simulation of a random quantum circuit using a new Sunway supercomputer
abstract
We develop a high-performance tensor-based simulator for random quantum circuits(RQCs) on the new Sunway supercomputer. Our major innovations include: (1) a near-optimal slicing scheme, and a path-optimization strategy that considers both complexity and compute density; (2) a three-level parallelization scheme that scales to about 42 million cores; (3) a fused permutation and multiplication design that improves the compute efficiency for a wide range of tensor contraction scenarios; and (4) a mixed-precision scheme to further improve the performance. Our simulator effectively expands the scope of simulatable RQCs to include the 10X10(qubits)X(1+40+1)(depth) circuit, with a sustained performance of 1.2 Eflops (single-precision), or 4.4 Eflops (mixed-precision)as a new milestone for classical simulation of quantum circuits; and reduces the simulation sampling time of Google Sycamore to 304 seconds, from the previously claimed 10,000 years.
Yong (Alexander) Liu, Xin (Lucy) Liu, Fang (Nancy) Li, Haohuan Fu, Yuling Yang, Jiawei Song, Pengpeng Zhao 0006, Dajia Peng, Huarong Chen, Chu Guo, Heliang Huang, Wenzhao Wu, Dexun Chen
SC12
2020 Superconducting quantum computing: a review
Heliang Huang, Dachao Wu, Daojin Fan
Sci. China Inf. Sci.1
2014 Parallel Gaussian elimination for XL family over GF(2)
abstract
ABSTRACT The security of many cryptographic systems is based on the difficulty of solving systems of quadratic multivariate polynomial equations. XL family (which stands for eXtended Linearization) is a traditional type of algorithm for solving systems of multivariate polynomial equations over finite fields. The main idea of these algorithms is to extend the initial system by monomials multiplications and use linear algebra techniques to solve the system. The overall complexity of XL family is essentially determined by the workload of Gaussian elimination step. In this paper, we use the structured Gaussian elimination and parallel fast Gaussian elimination to reduce the complexity of XL family over GF(2). Because of the sparsity of the extended system, structured Gaussian elimination is applied to reduce the dimensions of the extended system. Thus, a great reduction of the storage can be obtained. By slightly modifying the logic of ordinarily Gaussian elimination, we parallelly compute the reduced system. Theory analysis indicates that the complexity of our improved XL, XL_SP, is (λT)2, which is far lower than (7/64)T2.8, the complexity of XL, whereTis the number of monomials andλis the ratio of the dimensions of the reduced system to the extended system. Further experiments to Hidden Field Equation cryptosystems show that about 90% reduction of the extended system is achieved by using structured Gaussian elimination, which meansλis about 1/10 in our experiments. Copyright © 2013 John Wiley & Sons, Ltd.
Heliang Huang, Wansu Bao
Secur. Commun. Networks1