works on

From the 1 of 11 linked papers with an AI index.

collaborators

11 papers

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…

q-bio.BM2026

Quaternionic Response Geometry for Proteins: Toward a Noncommutative Theory of Ordered Deformations

Xiaoting Chen, Chon-Fai Kam, Yu Li +6

Protein function may depend on both endpoint conformations and the ordered deformation histories by which they are reached. This distinction is relevant to allostery, conformationa…

cs.LG2026

Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations

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

The paper analyzes two‑layer neural networks with holomorphic monomial activations (σ(z)=z^k) on modular arithmetic tasks, providing an exact algebraic condition for when a target…

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…