activity
20242026
most citedFull Characterization of the Depth Overhead for Quantum Circuit Compilation with Arbitrary Qubit Connectivity Constraint

3 citations · 3 across the 10 of their papers we have counts for

collaborators

10 papers

quant-ph2026

Quantum Circuit for General Unitary: Improved T-count via Block Flattening and Dilation

Pei Yuan, Shengyu Zhang, Wei Zi

Synthesizing arbitrary -qubit unitaries using as few non-Clifford gates as possible is a central problem in fault-tolerant quantum compilation. We present a Clifford+ quantum…

quant-ph2026

Efficient Depth--Ancilla Tradeoffs for Hamming Weight Computation and Symmetric Boolean Functions

Wei Zi, Pei Yuan, Junhong Nie +1

Hamming weight computation maps an -bit input to the number of ones it contains. It is a basic subroutine in quantum computing, and the core building block for symmetric Boolean…

quant-ph2026

Optimal T Counts under Sparsity: from QROM to State Preparation and Block Encoding

Tongyang Li, Fengning Ou, Xinzhao Wang +3

Many quantum algorithms require coherent access to classical data, often modeled by quantum read-only memory (QROM). We initiate the study of the count of sparse QROM,…

quant-ph2026

The Dynamical Lie Algebra of QAOA-MaxCut on the Complete Graph

Jonathan Allcock, Pei Yuan, Shengyu Zhang

We give an analytical expression for the dynamical Lie algebra corresponding to the QAOA-MaxCut problem on complete graphs, and show that the variance of the associated loss functi…

quant-ph2025

QAOA-MaxCut has barren plateaus for almost all graphs

Rui Mao, Pei Yuan, Jonathan Allcock +1

The QAOA has been the subject of intense study over recent years, yet the corresponding Dynamical Lie Algebra (DLA)--a key indicator of the expressivity and trainability of VQAs--r…

quant-ph2025

On generating direct powers of dynamical Lie algebras

Jonathan Allcock, Miklos Santha, Pei Yuan +1

The expressibility and trainability of parameterized quantum circuits has been shown to be intimately related to their associated dynamical Lie algebras (DLAs). From a quantum algo…

quant-ph2025

Depth-Efficient Quantum Circuit Synthesis for Deterministic Dicke State Preparation

Pei Yuan, Shengyu Zhang

The -qubit -weight Dicke states , defined as the uniform superposition of all computational basis states with exactly qubits in state , form a b…

quant-ph2024

Quantum Approximate Optimization Algorithms for Maximum Cut on Low-Girth Graphs

Tongyang Li, Yuexin Su, Ziyi Yang +1

Maximum cut (MaxCut) on graphs is a classic NP-hard problem. In quantum computing, Farhi, Gutmann, and Goldstone proposed the Quantum Approximate Optimization Algorithm (QAOA) for…

quant-ph2024

On the dynamical Lie algebras of quantum approximate optimization algorithms

Jonathan Allcock, Miklos Santha, Pei Yuan +1

Dynamical Lie algebras (DLAs) have emerged as a valuable tool in the study of parameterized quantum circuits, helping to characterize both their expressiveness and trainability. In…

quant-ph2024★ 3 cited

Full Characterization of the Depth Overhead for Quantum Circuit Compilation with Arbitrary Qubit Connectivity Constraint

Pei Yuan, Shengyu Zhang

In some physical implementations of quantum computers, 2-qubit operations can be applied only on certain pairs of qubits. Compilation of a quantum circuit into one compliant to suc…