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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, in which…

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…