14 papers
Merged amplitude encoding for Chebyshev quantum Kolmogorov--Arnold networks: trading qubits for circuit executions
Hikaru Wakaura
Quantum Kolmogorov--Arnold networks based on Chebyshev polynomials (CCQKAN) evaluate each edge activation function as a quantum inner product, creating a trade-off between qubit co…
The -Peak: Covariant Recovery on Four Organic Qubit Platforms
Hikaru Wakaura, Taiki Tanimae
We characterize where, in the noise parameter space of the uniform dephasing--depolarizing channel , a deterministic, \emph{nonlin…
Blind Catalytic Quantum Error Correction: Target-State Estimation and Fidelity Recovery Without A Priori Knowledge
Hikaru Wakaura
Near-term quantum computers must protect fragile coherence against decoherence to deliver useful results. Catalytic quantum error correction (CQEC) addresses this challenge by ampl…
Catalytic Quantum Error Correction: Theory, Efficient Catalyst Preparation, and Numerical Benchmarks
Hikaru Wakaura, Taiki Tanimae
Quantum computers promise transformative speedups, but environmental noise destroys their fragile states. Conventional quantum error correction (QEC) encodes information redundantl…
Markovian dephasing has no entanglement-breaking threshold, and a fixed tolerance will report one anyway
Hikaru Wakaura, Taiki Tanimae
When modelling decoherence in a biological spin system it is tempting to seek a critical rate beyond which the channel is entanglement-breaking (EB) and quantum resources are gone.…
Quantum Reservoir Autoencoder: Conditions, Protocol, and Noise Resilience
Hikaru Wakaura, Taiki Tanimae
Quantum reservoir computing exploits fixed quantum dynamics and a trainable linear readout to process temporal data, yet reversing the transformation -- reconstructing the input fr…