Demo Data from EDBT 2026 / reviewers in the wild / expert
Isaac H. Kim
dblp:18/10120 · also Isaac Kim 0001
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2024
0000-0001-7689-3157ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 1 first-author · 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 · 85% Coding theory · 15% | |
| Databases, data mining, and information retrieval
1 paper |
Machine learning and data management · 100% | |
| Network and information security
1 paper |
Cryptographic primitives and cryptanalysis · 100% |
Topics — the 8 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Quantum computing and quantum information › quantum machine learning
quantum circuit learning |
0.8 | 1 | 2024 | Learning Shallow Quantum Circuits · STOC 2024 |
Quantum computing and quantum information › quantum circuit complexity
shallow quantum circuits |
0.8 | 1 | 2024 | Learning Shallow Quantum Circuits · STOC 2024 |
Quantum computing and quantum information
quantum error correction |
0.5 | 1 | 2021 | The ghost in the radiation: robust encodings of the black hole interior (invited paper) · STOC 2021 |
Quantum computing and quantum information
quantum information theory |
0.5 | 1 | 2021 | The ghost in the radiation: robust encodings of the black hole interior (invited paper) · STOC 2021 |
Coding theory › error protection
robust coding |
0.5 | 1 | 2021 | The ghost in the radiation: robust encodings of the black hole interior (invited paper) · STOC 2021 |
Quantum computing and quantum information › quantum computing
quantum advantage |
0.2 | 1 | 2024 | Learning Shallow Quantum Circuits · STOC 2024 |
Cryptographic primitives and cryptanalysis
pseudorandomness |
0.1 | 1 | 2021 | The ghost in the radiation: robust encodings of the black hole interior (invited paper) · STOC 2021 |
Quantum computing and quantum information
quantum complexity theory |
0.1 | 1 | 2021 | The ghost in the radiation: robust encodings of the black hole interior (invited paper) · STOC 2021 |
Methods — techniques the papers use, named apart from their topics
optimization landscape navigation · 1.5local inversions · 1.5quantum error correction · 1.0pseudorandomness · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Learning Shallow Quantum CircuitsabstractDespite 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 classically hard to sample from, existing learning algorithms do not apply. In this work, we present a polynomial-time classical algorithm for learning the description of any unknown n-qubit shallow quantum circuit U (with arbitrary unknown architecture) within a small diamond distance using single-qubit measurement data on the output states of U. We also provide a polynomial-time classical algorithm for learning the description of any unknown n-qubit state | ψ ⟩ = U | 0n ⟩ prepared by a shallow quantum circuit U (on a 2D lattice) within a small trace distance using single-qubit measurements on copies of | ψ ⟩. Our approach uses a quantum circuit representation based on local inversions and a technique to combine these inversions. This circuit representation yields an optimization landscape that can be efficiently navigated and enables efficient learning of quantum circuits that are classically hard to simulate. Hsin-Yuan Huang, Yunchao Liu 0002, Michael Broughton, Isaac H. Kim, Anurag Anshu, Zeph Landau, Jarrod R. McClean |
STOC | 4 |
| 2021 | The ghost in the radiation: robust encodings of the black hole interior (invited paper)abstractWe reconsider the black hole firewall puzzle, emphasizing that quantum error-correction, computational complexity, and pseudorandomness are crucial concepts for understanding the black hole interior. We assume that the Hawking radiation emitted by an old black hole is pseudorandom, meaning that it cannot be distinguished from a perfectly thermal state by any efficient quantum computation acting on the radiation alone. We then infer the existence of a subspace of the radiation system which we interpret as an encoding of the black hole interior. This encoded interior is entangled with the late outgoing Hawking quanta emitted by the old black hole, and is inaccessible to computationally bounded observers who are outside the black hole. Specifically, efficient operations acting on the radiation, those with quantum computational complexity polynomial in the entropy of the remaining black hole, commute with a complete set of logical operators acting on the encoded interior, up to corrections which are exponentially small in the entropy. Thus, under our pseudorandomness assumption, the black hole interior is well protected from exterior observers as long as the remaining black hole is macroscopic. On the other hand, if the radiation is not pseudorandom, an exterior observer may be able to create a firewall by applying a polynomial-time quantum computation to the radiation. Isaac H. Kim, Eugene Tang, John Preskill |
STOC | 1 |