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Chao Yang

4 papers hereh-index 319 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • quant-ph3
  • cs.AI1
same name
  • Chao Yang — 60 papers, h 49
  • Chao Yang — 19 papers, h 21
  • Chao Yang — 13 papers, h 5
  • Chao Yang — 12 papers, h 4
  • Chao Yang — 11 papers, h 10
  • Chao Yang — 11 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedRandomized Algorithms for Scientific Computing (RASC)

6 citations · 7 across the 2 of their papers we have counts for

collaborators

4 papers

quant-ph2026

T-efficient unitary synthesis via block-sparse Hamiltonian simulation

Diyi Liu, Shuchen Zhu, Wibe Albert de Jong +3

We construct Clifford+T circuits implementing arbitrary n-qubit unitaries with worst-case T-count O(N8/7) at constant operator-norm error, where N=2n, imp…

quant-ph2026

Exponentially Compressed and Garbage-Free Alias Sampling for Polynomial State Preparation

Diyi Liu, Hanyu Wang, Shuchen Zhu +4

Coherent alias sampling implement an important subroutine for block encoding and qubitization based quantum simulation using quantum lookup table. Related constructions exploit dat…

quant-ph2025★ 1 cited

Low-gate-count block encodings for second-quantized fermionic Hamiltonians

Diyi Liu, Shuchen Zhu, Guang Hao Low +2

Efficient block encoding of many-body Hamiltonians is a central requirement for quantum algorithms in scientific computing, particularly in the early fault-tolerant era. In this wo…

cs.AI2021★ 6 cited

Randomized Algorithms for Scientific Computing (RASC)

Aydin Buluc, Tamara G. Kolda, Stefan M. Wild +16

Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.