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quant-ph2026

Numerical Evaluation of ZX Calculus Optimization for Solovay Kitaev Quantum Circuit Synthesis

Dulari De Silva, Anuradha Mahasinghe, Chon-Fai Kam +3

Fault-tolerant architectures implement non-Clifford T gates through magic-state distillation, so the T-count of a synthesized circuit dominates its physical cost. The Solovay-Kitae…

quant-ph2026

An Exactness Barrier for ZX-Calculus Optimization of Synthesized Clifford+T Circuits

Chon-Fai Kam, Anuradha Mahasinghe, Kaushika De Silva +2

Gate synthesis and circuit optimization are usually studied separately, and evidence on their interaction is contradictory: ZX-calculus rewriting removes a stable fraction of Solov…

quant-ph2026

Assessing Cost Hamiltonian Reliability in Quantum Protein Structure Prediction

Mathieu Roget, Cedric Damour, Frederic Cadet +1

In variational quantum algorithms, QAOA, and quantum annealing, the cost Hamiltonian defines the optimization landscape explored by the quantum hardware; however, in many applicati…

quant-ph2026

Wavelet Variance Equipartition as a Threshold for World-Model Quality and Quantum Kernel TN-Simulability

Chon-Fai Kam, Xavier Cadet, Miloud Bessafi +1

While world models learn compact representations of complex environments, they lack a physics-grounded metric to assess the structural fidelity of their latent spaces. We identify…

quant-ph2026

Hermitian Matrix Function Synthesis without Block-Encoding

Anuradha Mahasinghe, Kaushika De Silva, Xavier Cadet +3

Implementing polynomial functions of Hermitian matrices on quantum hardware is a foundational task in quantum computing, critical for accurate Hamiltonian simulation, quantum linea…

quant-ph2025

Quantum Autoencoder: An efficient approach to quantum feature map generation

Shengxin Zhuang, Yusen Wu, Xavier F. Cadet +6

Quantum machine learning methods often rely on fixed, hand-crafted quantum encodings that may not capture optimal features for downstream tasks. In this work, we study the power of…