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56th Annual ACM Symposium on Theory of Computing (STOC 2024), June 24–28, 2024,
Vancouver, BC, Canada
Frontmatter
Sponsors
Article: stoc24foreword-fm003-p doi:
Keynotes
1A (Best Papers)
2A
2B
2C
2D
3A
3B
3C
3D
4A
4B
4C
4D
Maximum Weight Independent Set in Graphs with no Long Claws in Quasi-Polynomial Time
Peter Gartland,
Daniel Lokshtanov,
Tomáš Masařík,
Marcin Pilipczuk,
Michał Pilipczuk, and
Paweł Rzążewski
(University of California at Santa Barbara, USA; University of Warsaw, Poland; IT University of Copenhagen, Copenhagen, Denmark; Warsaw University of Technology, Poland)
Publisher's Version
Article: stoc24main-p145-p doi:10.1145/3618260.3649791
Packing Even Directed Circuits Quarter-Integrally
Maximilian Gorsky,
Ken-ichi Kawarabayashi,
Stephan Kreutzer, and
Sebastian Wiederrecht
(TU Berlin, Berlin, Germany; National Institute of Informatics, Tokyo, Japan; University of Tokyo, Tokyo, Japan; Institute for Basic Science, Daejeon, South Korea)
Publisher's Version
Article: stoc24main-p391-p doi:10.1145/3618260.3649682
5A
5B
5C
6A
6B
6C
6D
7A
Almost-Linear Time Algorithms for Incremental Graphs: Cycle Detection, SCCs, s-t Shortest Path, and Minimum-Cost Flow
Li Chen,
Rasmus Kyng,
Yang P. Liu,
Simon Meierhans, and
Maximilian Probst Gutenberg
(Carnegie Mellon University, USA; ETH Zurich, Switzerland; Institute for Advanced Study, Princeton, USA)
Publisher's Version
Article: stoc24main-p949-p doi:10.1145/3618260.3649745
7B
7C
7D
Learning Shallow Quantum Circuits
Hsin-Yuan Huang,
Yunchao Liu,
Michael Broughton,
Isaac Kim,
Anurag Anshu,
Zeph Landau, and
Jarrod R. McClean
(California Institute of Technology, USA; Google Quantum AI, USA; University of California at Berkeley, USA; University of California at Davis, USA; Harvard University, USA)
Publisher's Version
Article: stoc24main-p715-p doi:10.1145/3618260.3649722
8A
8B
8C
8D
9A (Best Student Papers)
10A
Understanding the Cluster Linear Program for Correlation Clustering
Nairen Cao,
Vincent Cohen-Addad,
Euiwoong Lee,
Shi Li,
Alantha Newman, and
Lukas Vogl
(Boston College, USA; Google Research, France; University of Michigan, USA; Nanjing University, China; CNRS - Université Grenoble Alpes, France; EPFL, Lausanne, Switzerland)
Publisher's Version
Info
Article: stoc24main-p996-p doi:10.1145/3618260.3649749
10B
10C
10D
A New Information Complexity Measure for Multi-pass Streaming with Applications
Mark Braverman,
Sumegha Garg,
Qian Li,
Shuo Wang,
David P. Woodruff, and
Jiapeng Zhang
(Princeton University, USA; Rutgers University, USA; Shenzhen Research Institute of Big Data, China; Shanghai Jiao Tong University, China; Carnegie Mellon University, USA; University of Southern California, USA)
Publisher's Version
Article: stoc24main-p341-p doi:10.1145/3618260.3649672
11A
11B
No Distributed Quantum Advantage for Approximate Graph Coloring
Xavier Coiteux-Roy,
Francesco d'Amore,
Rishikesh Gajjala,
Fabian Kuhn,
François Le Gall,
Henrik Lievonen,
Augusto Modanese,
Marc-Olivier Renou,
Gustav Schmid, and
Jukka Suomela
(TU Munich, Germany; Munich Center for Quantum Science and Technology, Germany; Aalto University, Finland; Bocconi University, Italy; Indian Institute of Science, India; University of Freiburg, Freiburg, Germany; Nagoya University, Nagoya, Japan; Inria, France; Université Paris-Saclay, France; Institut Polytechnique de Paris, France)
Publisher's Version
Article: stoc24main-p383-p doi:10.1145/3618260.3649679
11C
11D
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