2024 Proceeding- General Chairs:
- Bojan Mohar,
- Igor Shinkar,
- Program Chair:
- Ryan O'Donnell
The papers in this volume were presented at the 56th Annual ACM Symposium on Theory of Computing (STOC 2024), sponsored by the ACM Special Interest Group on Algorithms and Computation Theory (SIGACT). The conference was held in Vancouver, Canada, June 24--28, 2024, with the papers being presented as live talks.
An Area Law for the Maximally-Mixed Ground State in Arbitrarily Degenerate Systems with Good AGSP
We show an area law in the mutual information for the maximally-mixed state Ω in the ground space of general Hamiltonians, which is independent of the underlying ground space degeneracy. Our result assumes the existence of a ‘good’ approximation to the ...
Local Minima in Quantum Systems
Finding ground states of quantum many-body systems is known to be hard for both classical and quantum computers. As a result, when Nature cools a quantum system in a low-temperature thermal bath, the ground state cannot always be found efficiently. ...
An Optimal Tradeoff between Entanglement and Copy Complexity for State Tomography
There has been significant interest in understanding how practical constraints on contemporary quantum devices impact the complexity of quantum learning. For the classic question of tomography, recent work tightly characterized the copy complexity for ...
Learning Shallow Quantum Circuits
Despite fundamental interests in learning quantum circuits, the existence of a computationally efficient algorithm for learning shallow quantum circuits remains an open question. Because shallow quantum circuits can generate distributions that are ...
Improved Stabilizer Estimation via Bell Difference Sampling
We study the complexity of learning quantum states in various models with respect to the stabilizer formalism and obtain the following results: We prove that Ω(n) T-gates are necessary for any Clifford+T circuit to prepare computationally pseudorandom ...
Index Terms
- Proceedings of the 56th Annual ACM Symposium on Theory of Computing
Recommendations
Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| STOC '15 | 347 | 93 | 27% |
| STOC '14 | 319 | 91 | 29% |
| STOC '13 | 360 | 100 | 28% |
| STOC '11 | 304 | 84 | 28% |
| STOC '08 | 325 | 80 | 25% |
| STOC '03 | 270 | 80 | 30% |
| STOC '02 | 287 | 91 | 32% |
| STOC '01 | 230 | 83 | 36% |
| STOC '00 | 182 | 85 | 47% |
| STOC '98 | 169 | 75 | 44% |
| STOC '97 | 211 | 75 | 36% |
| STOC '96 | 201 | 74 | 37% |
| STOC '89 | 196 | 56 | 29% |
| STOC '88 | 192 | 53 | 28% |
| STOC '87 | 165 | 50 | 30% |
| STOC '80 | 125 | 47 | 38% |
| STOC '79 | 111 | 37 | 33% |
| STOC '78 | 120 | 38 | 32% |
| STOC '77 | 87 | 31 | 36% |
| STOC '76 | 83 | 30 | 36% |
| STOC '75 | 87 | 31 | 36% |
| STOC '74 | 95 | 35 | 37% |
| STOC '71 | 50 | 23 | 46% |
| STOC '70 | 70 | 27 | 39% |
| Overall | 4,586 | 1,469 | 32% |